# Imagine AI > Imagine is the data-driven agent that automates LinkedIn, built for high-growth companies. You never need to go on LinkedIn again. Canonical site: https://useimagine.ai (imagineai.me redirects here). Product app: https://app.imagineai.me. ## What Imagine AI does We're a research company that focuses on B2B growth, starting with LinkedIn. We put all our research into an agent that has its own computer and its own browser. Ask it to make posts and graphics, look at who engaged and who is in your CRM, pull data on other companies, or reach out to people. Nothing goes out without your OK. - Posts and on-brand graphics for your whole team - Who engaged, if they're your ICP and what deal they're on in HubSpot - Data on other companies in your space from our benchmark - Connection requests, comments and messages after your OK - Any MCP as a skill - A file system for your strategy and brand kit ## Why: highly automated companies work with highly automated companies Imagine AI's thesis is that highly automated companies prefer to work with other highly automated companies, forming a closed-loop production web, the way companies with websites worked with companies with websites. Today that discovery and communication runs through LinkedIn. Imagine AI is built to be the layer between those companies. Guide: https://useimagine.ai/guides/highly-automated-companies ## Who it is for - High-growth B2B companies that want the founders, the team and the company page all posting, with every engager matched to their ICP and CRM. - Teams can start with one or two LinkedIn profiles and add people later; unlimited teammates can use the platform. - Public case studies: Fondo, Eragon, Frame Data & AI, MarqVision (https://useimagine.ai/case-studies/fondo and others). ## How it works - We white glove you through setup: your positioning, brand kit and file system. Then you use the agent. - Every customer gets a shared Slack channel with our San Francisco team; a dedicated growth researcher is optional. ## Pricing Priced per LinkedIn profile, with unlimited teammates, and quoted on a demo call: https://useimagine.ai/pricing. Usage is unlimited until next year. ## Facts - Imagine AI Inc, Y Combinator F25, based in San Francisco. Founders: Sky Yang (CEO) and Neo Lee. - Imagine AI started as the operating system for ghostwriting teams. - The Imagine AI benchmark (benchmark.useimagine.ai) is free and public, with an MCP server for AI agents: https://useimagine.ai/mcp - MCP server card (machine-readable): https://useimagine.ai/.well-known/mcp.json ## Product boundaries - Starts with LinkedIn: today Imagine AI does not publish to X, Instagram, TikTok or other networks. - No paid ads, no engagement pods. - We don't build lead lists. Nothing posts or sends without a person's OK. - No self-serve signup: teams start on a demo call. ## Research - [4 habits to success on LinkedIn: a study of over 1,000 B2B companies](https://useimagine.ai/blog/four-habits-b2b-linkedin): What 223,551 posts from 1,051 B2B companies tell us about the four habits of companies that get heard on LinkedIn: diversity, consistency, authenticity and quality. (2026-10-23) - [The distribution of LinkedIn engagement: A study of Y Combinator founders](https://useimagine.ai/blog/the-distribution-of-linkedin-engagement): We analyzed 20,000+ posts from 600+ YC founders and found each account's engagement follows a log-normal distribution, with fitted parameters that replicate across cohorts. (2026-08-28) ## Benchmark - [LinkedIn Content Arena and benchmark](https://benchmark.useimagine.ai): public leaderboard and benchmarks of B2B companies and people on LinkedIn, scored with the log-normal model from the study above. - [Benchmark methodology](https://benchmark.useimagine.ai/dashboard/methodology): how posts are scored (reactions, typical post as geometric mean, within-account comparison, ranking intervals). - [Benchmark llms.txt](https://benchmark.useimagine.ai/llms.txt): machine-readable index of the benchmark, including its MCP server for agents. ## Product - [Pricing](https://useimagine.ai/pricing): Choose how much of Imagine AI your team runs, from the platform itself to a fully supported program with a dedicated growth researcher. - [API docs](https://app.imagineai.me/docs/api): All our audience data is available over our API. - [Book a demo](https://form.typeform.com/to/wexUi8lH) ## Comparisons and alternatives - [Blazel vs Imagine AI](https://useimagine.ai/compare/blazel-vs-imagine-ai): Compare Blazel and Imagine AI, two LinkedIn content products for B2B teams: Blazel's Ember agent and interview-led drafts, and Imagine AI's agent that researches and drafts posts and graphics from your strategy files and maps engagers to your CRM. (updated 2026-10-20) - [Taplio vs Imagine AI](https://useimagine.ai/compare/taplio-vs-imagine-ai): Compare Taplio and Imagine AI: a self-serve LinkedIn growth tool you operate, from $39 a month, versus a GTM agent that starts with LinkedIn: it drafts posts and graphics for your company page, leaders and team and maps engagers to your CRM. (updated 2026-10-20) - [Supergrow vs Imagine AI](https://useimagine.ai/compare/supergrow-vs-imagine-ai): Compare Supergrow and Imagine AI: a self-serve LinkedIn platform where each person records AI interviews, versus a GTM agent that starts with LinkedIn: it drafts posts and graphics for your company page, leaders and employees without interviews and maps engagers to your CRM. (updated 2026-10-20) - [Ordinal vs Imagine AI](https://useimagine.ai/compare/ordinal-vs-imagine-ai): Compare Ordinal and Imagine AI: a multi-network platform where your marketing team writes, approves and schedules posts, versus a GTM agent that starts with LinkedIn and does the LinkedIn drafting and graphics for your company page and team and maps engagers to your CRM. (updated 2026-10-20) - [AuthoredUp vs Imagine AI](https://useimagine.ai/compare/authoredup-vs-imagine-ai): Compare AuthoredUp and Imagine AI: a no-automation Chrome extension for people who write their own LinkedIn posts, versus a GTM agent that starts with LinkedIn: it drafts posts and graphics for your company page, leaders and team and maps posts to pipeline. (updated 2026-10-20) - [Kleo vs Imagine AI](https://useimagine.ai/compare/kleo-vs-imagine-ai): Compare Kleo and Imagine AI: a $99 a month personal brand system with coaching for people who post themselves, versus a GTM agent that starts with LinkedIn: it drafts posts and graphics for your company page, leaders and team and maps posts to pipeline. (updated 2026-10-20) - [Typa vs Imagine AI](https://useimagine.ai/compare/typa-vs-imagine-ai): Compare Typa and Imagine AI: an AI ghostwriter you text over iMessage or Slack that posts across X, LinkedIn, Bluesky and Medium, versus a GTM agent for B2B teams that starts with LinkedIn: it drafts posts and graphics and maps engagers to your CRM. (updated 2026-10-20) - [Virio vs Imagine AI](https://useimagine.ai/compare/virio-vs-imagine-ai): Compare Virio and Imagine AI: Virio's done-for-you LinkedIn content service for B2B SaaS, and Imagine AI's content agent that drafts posts and graphics for your whole team and company page, with CRM attribution and a public benchmark. (updated 2026-10-20) - [Hey Sid vs Imagine AI](https://useimagine.ai/compare/hey-sid-vs-imagine-ai): Compare Hey Sid and Imagine AI: a done-for-you ABM platform with ads, human ghostwriting and managed outreach, versus a GTM agent that starts with LinkedIn: it drafts LinkedIn posts and graphics for your company page and team and maps them to pipeline. (updated 2026-10-20) - [LinkedIn ghostwriter vs Imagine AI](https://useimagine.ai/compare/ghostwriter-vs-imagine-ai): Hiring a LinkedIn ghostwriter or using a content agent? Published ghostwriter rates and packages compared with Imagine AI, which drafts posts and graphics for your company page, leaders and team and maps posts to pipeline. (updated 2026-10-20) - [LinkedIn agency vs Imagine AI](https://useimagine.ai/compare/linkedin-agency-vs-imagine-ai): Hiring a B2B social media or LinkedIn agency, or using a content agent? Published agency retainers and scope compared with Imagine AI, which drafts posts and graphics for your company page, leaders and team and maps posts to pipeline. (updated 2026-10-20) - [ChatGPT vs Imagine AI for LinkedIn](https://useimagine.ai/compare/chatgpt-vs-imagine-ai): Writing LinkedIn posts with ChatGPT or Claude, or using a content agent? What each does, what they cost and what a general chatbot cannot see, compared with Imagine AI. (updated 2026-10-20) - [MagicPost vs Imagine AI](https://useimagine.ai/compare/magicpost-vs-imagine-ai): Compare MagicPost and Imagine AI: a self-serve LinkedIn AI writer versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [ContentIn vs Imagine AI](https://useimagine.ai/compare/contentin-vs-imagine-ai): Compare ContentIn and Imagine AI: a low-cost AI ghostwriter versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [Scripe vs Imagine AI](https://useimagine.ai/compare/scripe-vs-imagine-ai): Compare Scripe and Imagine AI: an AI LinkedIn writer for European B2B teams versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [Postiv vs Imagine AI](https://useimagine.ai/compare/postiv-vs-imagine-ai): Compare Postiv and Imagine AI: a LinkedIn editor with a planning agent versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [Stanley vs Imagine AI](https://useimagine.ai/compare/stanley-vs-imagine-ai): Compare Stanley and Imagine AI: a chat-first content agent versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [Buffer vs Imagine AI](https://useimagine.ai/compare/buffer-vs-imagine-ai): Compare Buffer and Imagine AI: a multi-network scheduler versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [Hypefury vs Imagine AI](https://useimagine.ai/compare/hypefury-vs-imagine-ai): Compare Hypefury and Imagine AI: a multi-network scheduler for creators versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [Hootsuite vs Imagine AI](https://useimagine.ai/compare/hootsuite-vs-imagine-ai): Compare Hootsuite and Imagine AI: a social media management suite versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [Sprout Social vs Imagine AI](https://useimagine.ai/compare/sprout-social-vs-imagine-ai): Compare Sprout Social and Imagine AI: a social media management suite versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [Oktopost vs Imagine AI](https://useimagine.ai/compare/oktopost-vs-imagine-ai): Compare Oktopost and Imagine AI: a B2B social platform with CRM attribution versus one GTM agent that creates LinkedIn posts and graphics for your company page and team, engages for you, and maps it to pipeline. (updated 2026-10-20) - [Taplio alternatives](https://useimagine.ai/compare/taplio-alternatives): Taplio alternatives compared for B2B teams: Supergrow, Kleo, MagicPost, Ordinal, Buffer, Hootsuite, Oktopost, Virio, Blazel and Imagine AI, by job. (updated 2026-10-29) - [Imagine AI alternatives](https://useimagine.ai/compare/imagine-ai-alternatives): What Imagine AI does today, plus a plain guide to LinkedIn tools that fit other jobs, including self-serve editors and schedulers. (updated 2026-10-29) ## LinkedIn benchmarks by industry - [LinkedIn for AI Infrastructure companies](https://useimagine.ai/for/ai-infrastructure): How ai infrastructure founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Developer Tools companies](https://useimagine.ai/for/developer-tools): How developer tools founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Fintech companies](https://useimagine.ai/for/fintech): How fintech founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Sales and Marketing Tech companies](https://useimagine.ai/for/sales-and-marketing-tech): How sales and marketing tech founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Customer Support AI companies](https://useimagine.ai/for/customer-support-ai): How customer support ai founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Security and Compliance companies](https://useimagine.ai/for/security-and-compliance): How security and compliance founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Data and Analytics companies](https://useimagine.ai/for/data-and-analytics): How data and analytics founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Healthcare Tech companies](https://useimagine.ai/for/healthcare-tech): How healthcare tech founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Voice and Media AI companies](https://useimagine.ai/for/voice-and-media-ai): How voice and media ai founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for HR and Payroll companies](https://useimagine.ai/for/hr-and-payroll): How hr and payroll founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Tax and Accounting companies](https://useimagine.ai/for/tax-and-accounting): How tax and accounting founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for Venture Capital companies](https://useimagine.ai/for/venture-capital): How venture capital founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-20) - [LinkedIn for B2B SaaS companies](https://useimagine.ai/for/b2b-saas): How b2b saas founders, executives and company pages perform on LinkedIn: typical reactions, which post types beat each author's own typical post, and what to post next. From the Imagine AI benchmark. (updated 2026-10-29) ## LinkedIn GTM playbooks - [The ICP list post loop](https://useimagine.ai/playbooks/icp-list-post-loop): A LinkedIn play for B2B teams: connect with 5 to 10 people in your ICP, feature each one with a number in a positive list post, comment on their posts that week, then message them with something useful. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Post engagers to pipeline](https://useimagine.ai/playbooks/post-engagers-to-pipeline): A LinkedIn play for the day after a post: match everyone who liked or commented to your ICP and CRM, reply to the comments, connect with the buyers you don't know yet and message the ones worth a conversation. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Comment early on posts taking off](https://useimagine.ai/playbooks/viral-post-pile-in): A LinkedIn play for being seen by buyers: check the people your ICP follows for posts gaining comments fast, and leave a specific, useful comment from you and your teammates in the first hours. Drafted by the Imagine AI agent, approved by you. (updated 2026-10-20) - [New role congrats](https://useimagine.ai/playbooks/new-role-congrats): A LinkedIn play for job changes: find people in the titles you sell to who just started at target accounts, send a short congrats connection note, and follow up a few weeks later with something useful for their first 90 days. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Target account launch](https://useimagine.ai/playbooks/target-account-launch): A LinkedIn play for launches at your target accounts: find the launch post, leave a specific comment on it, and message the founder or product lead with one useful thought. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Funding round congrats](https://useimagine.ai/playbooks/funding-round-congrats): A LinkedIn play for funding news at your target accounts: comment on the announcement, connect with the founders, and follow up a few weeks later when they are planning what the money goes to. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Conference before and after](https://useimagine.ai/playbooks/conference-before-and-after): A LinkedIn play for conferences: find the people in your ICP posting about the event, connect before it starts, post that you're going, ask for coffee, then post a recap and follow up with everyone you met. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Webinar follow-up](https://useimagine.ai/playbooks/webinar-follow-up): A LinkedIn play for after a webinar: post the three best takeaways, then message the attendees in your ICP with the recording and one question about their situation. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Best customer lookalikes](https://useimagine.ai/playbooks/customer-lookalikes): A LinkedIn play for customer wins: post the story with the customer, find companies that look like them, connect with the buyers there and message them the story with one question. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [The alumni angle](https://useimagine.ai/playbooks/alumni-angle): A LinkedIn play for warm intros you already have: find alumni of your school or former employer at your ICP accounts, connect with a note about what you share, and start a conversation from there. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Coffee in your city](https://useimagine.ai/playbooks/coffee-in-your-city): A LinkedIn play for in-person meetings: find the people in your ICP in your city, connect, and ask for a coffee with a specific time and place. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Inbound invites triage](https://useimagine.ai/playbooks/inbound-invites-triage): A LinkedIn play for the invites you already have: sort pending connection requests against your ICP and CRM, and send a first message to the buyers once you accept. Run by the Imagine AI agent with your approval. (updated 2026-10-20) - [Launch week, then the engagers](https://useimagine.ai/playbooks/launch-week-engagers): A LinkedIn play for your own launch: a post from each person on the team, each with a different angle, then the ICP engagers on every post matched to your CRM and messaged. Run by the Imagine AI agent with your approval. (updated 2026-10-20) ## Guides - [Highly automated companies work with highly automated companies](https://useimagine.ai/guides/highly-automated-companies): Highly automated companies want to work with other highly automated companies. What that means for B2B go-to-market on LinkedIn, why the companies still doing it by hand get pushed out, and where an agent like Imagine AI fits. (updated 2026-10-20) - [What is a content agent?](https://useimagine.ai/guides/what-is-a-content-agent): A content agent is AI that plans, writes, designs, publishes and engages on behalf of a team, from the team's own strategy and data. How it differs from AI writers, schedulers and ghostwriters, and what to look for. (updated 2026-10-20) - [How to run LinkedIn without a content team](https://useimagine.ai/guides/run-linkedin-without-a-content-team): How B2B companies run LinkedIn for the company page, founders, executives and employees without hiring a content team: what to set up once, what to automate, what a person still owns, and how to measure it. (updated 2026-10-20) - [Best LinkedIn tools for B2B teams in 2026](https://useimagine.ai/guides/best-linkedin-tools-for-b2b-teams): The best LinkedIn tools for B2B teams in 2026, sorted by the job they do: AI writers, writing and analytics, team planning, schedulers and suites, and GTM agents. Prices from each vendor's own site. (updated 2026-10-20) - [LinkedIn thought leadership tools for executives](https://useimagine.ai/guides/linkedin-thought-leadership-tools-for-executives): How executive teams turn sales calls and opinions into LinkedIn posts in each leader's voice, with review, one calendar and measurement tied to pipeline. (updated 2026-10-29) - [Imagine AI benchmark MCP server](https://useimagine.ai/mcp): Connect the Imagine AI LinkedIn benchmark to Claude, Claude Code, ChatGPT, Cursor or any MCP client. Public tools need no key: industry landscapes, company fits, post-type breakdowns and methodology. (updated 2026-10-29) ## Case studies - [All case studies](https://useimagine.ai/case-studies): every published case study, with the numbers from the period we tracked. - [Frame Data & AI](https://useimagine.ai/case-studies/frame-data): How Frame Data & AI saved time and scaled content from 0-1. Frame Data & AI helps energy companies move governed data and AI from pilot to production. - [Fondo](https://useimagine.ai/case-studies/fondo): How Fondo Scaled From Sporadic Posting to 1.5M LinkedIn Impressions. Fondo provides accounting, tax, and bookkeeping support for startups. - [MarqVision](https://useimagine.ai/case-studies/marqvision): How MarqVision Built the Content Flywheel. MarqVision uses AI to protect brands from counterfeits and IP abuse. - [Eragon](https://useimagine.ai/case-studies/eragon): How Eragon Built 365K LinkedIn Impressions Around Its $12M Seed Launch. Eragon builds enterprise AI systems that help companies own and run proprietary intelligence. - [Moda](https://useimagine.ai/case-studies/moda): How Moda announces its launches with Imagine AI. Moda (YC W26) auto-generates evals for AI agents running in production. ## Other posts - [Imagine AI thesis](https://useimagine.ai/blog/imagine-ai-thesis): We are particularly interested in B2B growth because it is inherently a relationship problem that underpins the majority of economic activities in this world. - [What B2B companies actually post and what works](https://useimagine.ai/blog/what-b2b-actually-posts): Imagine AI tracked posts by executives, from seed-stage YC startups to unicorns like Rippling, Deel, MongoDB and ElevenLabs, and measured what performs across B2B companies systemtically. - [1/3 of unique engagers on LinkedIn is your ICP](https://useimagine.ai/blog/one-third-of-unique-engagers-is-your-icp): What happens when you stop counting impressions and start matching engagers against your CRM. - [The true cost of not being on LinkedIn](https://useimagine.ai/blog/the-true-cost-of-not-being-on-linkedin): ROI framework: what a LinkedIn content seat replaces in internal cost - and what attribution actually shows. - [Founder-led content is your secret weapon](https://useimagine.ai/blog/founder-led-content-is-your-secret-weapon): Build trust, post consistently, and turn LinkedIn into revenue with practical tactics. - [The B2B Trust Index](https://useimagine.ai/blog/the-b2b-trust-index): Content isn't a conversion event — it's a trust-building mechanism. And now it's measurable. - [We got into Y Combinator](https://useimagine.ai/blog/we-got-into-y-combinator): Two dropouts, one mission, zero safety net. How we went from coffee shops to YC. ## Company - Founders: Sky Yang (CEO) and Neo Lee. - [Y Combinator profile](https://www.ycombinator.com/companies/imagine-ai) - [LinkedIn](https://www.linkedin.com/company/ai-imagine/), [X](https://x.com/imagineagi) --- # 4 habits to success on LinkedIn: a study of over 1,000 B2B companies Source: https://useimagine.ai/blog/four-habits-b2b-linkedin Published: 2026-10-23 Authors: Sky Yang _We build a content agent for B2B teams and run the [free benchmark](https://benchmark.useimagine.ai) this data comes from, so we have a stake in this. We labeled each graphic to indicate if the data comes from our own analysis or the [public report](https://benchmark.useimagine.ai/research/state-of-b2b-linkedin). A version of this piece ran in [Product Market Fit](https://www.productmarketfit.tech/p/the-b2b-linkedin-playbook-free-benchmark), Guillermo Flor's newsletter._ Most B2B teams know LinkedIn is one of the best places to reach buyers, investors and future hires, but most of us struggle to know what to post there, and almost all of us struggle to find the time to post at all. There's no shortage of advice, and to be frank most of it isn't very good. Anyone can share the story of a hit post or two, but that doesn't tell you whether they found a repeatable framework or just got lucky, so we went into the data to find what works consistently. Some of what we found surprised us. At the median B2B company, about three quarters of the reactions it gets on LinkedIn each week go to the people who work there rather than to the company page. And among execs with a similar-sized following, the ones in the top tenth get about seven times the engagement of the ones in the bottom tenth. Earlier this year, we [studied 20,000+ posts from startup founders](/blog/the-distribution-of-linkedin-engagement). We found that each account's reactions follow a specific distribution curve, called a log-normal, where most posts land near an account's usual number and a few run far above it. In other words, most posts reach the people who already follow you, and every so often one breaks out and puts you in front of a whole new audience, which is the post everyone is hoping for. We used that finding, along with others from our own dataset, to build a public benchmark that tracks over a thousand B2B companies and the people who work there, refreshed every day. With that many posts the lucky one-offs average out, and what's left is the pattern that separates the companies that get heard from the ones that don't. After doing this work we hold a fairly opinionated view, which is that the companies that win on LinkedIn get four things right. They have many people posting from more than one department (diversity), they post two to three times a week, every week (consistency), those people write things only they could have written (authenticity), and they put effort into every post, with strong images and no filler (quality). ## Summary **One post tells you almost nothing.** For most founders and execs, two posts in three land within one standard deviation of their typical post, and among people with 50 or more posts the best one is about 12x their typical post. The four habits below are how a team lifts every post. - **Diversity: five good-enough posters beat one great one.** Mid-size companies with four or more people posting regularly get about 7x the reactions per page follower of companies where one person or nobody posts. Part of that is because we track more people at those companies, but even among companies where we track eight or more people, four or more posters get about 2x what two or three get. - **Consistency: two to three posts a week is the sweet spot.** Weekly reactions climb from 74 at one to two posts a week to 129 at two to three, and past three each post gets noticeably weaker. - **Authenticity: write what only you could write.** Personal stories get 1.74x the author's typical post, while generic industry takes, the most common topic, get 0.73x. People carry the reach too, since founders and execs get about 66% more reactions on a typical post than company pages do. - **Quality: images win and filler costs.** Multi-image posts get 2.11x an account's typical post against 0.71x for text only, and a post that does under half the usual tends to drag the next one down, which is the risk of posting just to hit a number. ## How we measured We measure every account by its typical post, the number of reactions an ordinary post of theirs gets, worked out from its own history so one viral post can't skew it (technically the geometric mean, using original posts at least 14 days old, at least 18 of them). People and company pages are measured separately. The published [State of B2B LinkedIn report](https://benchmark.useimagine.ai/research/state-of-b2b-linkedin) covers 223,551 original posts from 1,051 companies, with 1,540 founders and execs, 1,266 other employees and 570 company pages that have enough history to measure. The companies are a curated set of B2B companies and the competitors and category leaders around them, so the findings describe that set rather than LinkedIn as a whole. Some figures come straight from the published report and others come from new analysis we ran on the same data with the same method. Each graphic has a caption that says where its data comes from. ## One post is mostly noise Figure 1: How far one founder's posts swing around their typical post, illustrated at the median spread for founders and execs. Source: published report. For the median founder or exec, about two posts in three land between the typical post divided by 2.42 and multiplied by 2.42 ([source](https://benchmark.useimagine.ai/research/state-of-b2b-linkedin#spread)). If your typical post gets 40 reactions, a perfectly ordinary post can get 17 or 97 without anything about you changing, and one post in six will beat 97 by chance alone. In statistical terms, that range is one standard deviation either side of the typical post on a log scale, so most posts simply do about what that person usually does. Among founders and execs with at least 50 posts, the best one gets a median of about twelve times the engagement of their typical post, so anyone judging an account by its best post is off by about ten times. This randomness is why we think copying last week's winner is the wrong instinct, because nobody can pick which post breaks out. A lot of luck goes into a viral post, so it doesn't make sense to over-optimize on what got lucky in the past. Instead, a company can shift its whole curve, and the rest of this piece outlines how. ## People carry the reach Figure 2: Typical post across every account we can measure, by account type. These are medians across separate groups, so they don't compare any one founder with their own company page. Source: published report. The median founder or exec gets 39 reactions on a typical post and the median company page gets 23, which is the 1.66x gap in the published report (38.6 against 23.2 before rounding). Employees who aren't execs sit at 17, and the pattern holds further up the curve, where a top-10% founder or exec starts at 126 and a top-10% page at 73 ([source](https://benchmark.useimagine.ai/research/state-of-b2b-linkedin#founders-vs-pages)). In short, execs do better than company pages, and company pages do better than other employees. Those are per-post numbers, though, and for a marketing team the number that matters more is the total, meaning where a company's attention actually comes from each week. So we added up each company's weekly reactions across its page and the people we track there. The median company gets about 76% of the total from its people, which makes the page the smaller of the two channels for most companies. Part of the reason is that LinkedIn is already full of ads. A post from a brand account is hard to tell apart from one, while a person writing in their own voice reads like a person, and that cuts through. ## Teams beat individuals Figure 3: Median weekly reactions across a company's page and the people we track there, per 1,000 page followers, grouped by company size and by how many people at the company post about once a month or more. Source: our analysis. The finding we care about most comes from companies with 10,000 to 50,000 page followers. The ones with four or more people posting regularly get about 22 reactions a week for every 1,000 page followers, against about 3 for companies where at most one person posts. That is roughly seven times the reach from the same size audience, and the largest companies show the same shape. Some of that gap is just that we track more people at those companies, a median of 28 against one at the others, so we also compared only companies where we track at least eight people. There, four or more regular posters still get about twice as much as two or three, and the company page itself does better too, at about 4 reactions per 1,000 followers against about 1. The individuals at solo-poster companies are often strong posters themselves, so the gap is about how many people show up more than how good each one is. Which people post matters too. We also grouped companies by how many departments their regular posters come from (founders and execs, marketing, sales, engineering, product and operations). In that same size band, companies with three or more departments posting get about four times the reactions per 1,000 page followers, about 23 against under 6 when the posting comes from one department or none. A company where only the founder or only the marketing team posts is leaving reach on the table. We think this happens because there are many lenses a company can tell its story through, and not every lens appeals to everyone. Marketers go on LinkedIn to learn about marketing and might follow your CMO, but they probably won't follow your VP of Engineering, who mostly posts about new AI developments, and engineers are the other way around. You need a broad mix of voices to reach a broad audience. The other question we get at this point is why you can't just do all of this from one account. We haven't run a clean test of that, so this part is our read, but one account that tries to cover everything tends to lose people, because someone who follows you for sales advice probably isn't there for your HR posts. Having several people post lets each reader opt into the voice that's most relevant to them, and the department numbers above point the same way. One caveat on how we count. We find people by watching who posts, so we track more people at companies whose teams are already active, which inflates their totals, and that is why we ran the check above on companies where we track at least eight people. The direction holds there and lines up with everything else in this piece, and it matches what we see at one of the top three companies on the leaderboard, where a co-founder plus the heads of growth, marketing and sales all post at a top-tier level. ## Same audience, about 7x apart Figure 4: Typical post of founders and execs grouped by their own follower count, showing the bottom 10% to the top 10% in each group. Source: our analysis, on the 671 founders and execs with a follower count on file. One concern we hear a lot is "aren't you just measuring someone's existing audience?", and that's fair, because a bigger audience almost always gets more engagement. The median founder or exec with 20,000 to 100,000 followers gets 125 reactions on a typical post, against 30 for people with 1,000 to 5,000. But even with audience size held still, the gap between top and bottom performers is huge. Among people with 5,000 to 20,000 followers, the most common range in our data, the top 10% get about seven times what the bottom 10% get, 131 or more reactions on a typical post against 20 or fewer, and that ratio is roughly the same in every band. Figure 5: Founders and execs with similar follower counts,comparing the top quartile by typical post with the bottom quartile (167 people each), last 12 months of posts. Source: our analysis. Here is a closer look at that gap, comparing the top quartile with the bottom quartile inside each follower band. It comes down to what people post, and images are the easiest place to start. From the same account, a post with one image gets about twice the reactions of a text-only post (1.44x against 0.71x of its typical post, Figure 6). Yet the bottom quartile posts text only 50% of the time against 29% for the top quartile, so they're almost twice as likely to skip the image. The top quartile also posts several images in one post about twice as often, and industry takes make up 38% of what the bottom quartile posts against 18% for the top. Within each band the top quartile still has somewhat more followers (a median of about 10,300 against 7,300), so this is a rough control, and that difference is far too small to explain a gap this size. ## What to post: images, and moments only you have Figure 6: Reactions on a post against the same account's own typical post, by format, where 1.0x is that account's typical post. Source: published report. Because this comparison measures every account against itself, audience size drops out almost completely, since nearly the same followers who saw yesterday's text-only post are the ones seeing today's post with a graphic. When the same account posts several images in one post it gets 2.11x its own typical post, a single image gets 1.44x and a text-only post gets 0.71x, and text only is also the most common format, at 88,002 of the posts we measured by format ([source](https://benchmark.useimagine.ai/research/state-of-b2b-linkedin#formats)). The multi-image result also holds once you set aside the offsite photo announcing a raise, since with every celebration and event post taken out it still comes in at 2.02x. We would discount video a little, because at 1.18x it does better than text but less than a single good image, and it is the most expensive format to produce. For most teams the better trade is a strong graphic or a set of images on every post that matters, and video only when there is something worth filming. Figure 7: Reactions on a post against the author's own typical post, by what the post is about, as tagged by a language model into one of nine topics. Source: our analysis. Topic matters just as much, and industry commentary (the "here is my take on where AI agents are going" post) is the most common topic in the dataset at about one tagged post in four while also being the weakest at 0.73x. Personal stories get 1.74x, celebrations like a raise or a milestone get 1.35x, company updates 1.30x and hiring posts 1.22x, while product updates and customer highlights, the two things marketing teams ship most, both come in under 1x. The personal story lift holds within a format as well, at 1.37x among text-only posts and 1.82x among single-image posts. Everybody has a take on the industry, and the posts that do well are the ones only that person or that company could have written. ## Filler posts cost momentum Figure 8: The next post from the same person, measured against their own typical post, split by how the previous post did. Median across 148,861 pairs of consecutive posts. Source: our analysis. When someone's post does under half of their typical reactions, their next post comes in at a median of 0.84x their typical post, against 0.96x after a normal post and 1.11x after a post that did more than double. Five posts later the effect is still there, at 0.88x against 1.04x. Part of this is that accounts drift up and down slowly over time, so we read it as a pattern in the data and leave open how much of it is LinkedIn's feed. The practical point is the same either way, and it's the main reason we don't think more is always better. Past a few posts a week most people start running out of things worth saying, and a post put out just to hit a quota has a cost. ## Two to three posts a week Figure 9: Founders and execs grouped by how often they post, showing their typical post and their total reactions per week. Source: typical post from the published report, weekly totals from our analysis. An account's typical post peaks at one to two posts a week, at 43 reactions, and falls to 16 for people posting four or more times a week ([source](https://benchmark.useimagine.ai/research/state-of-b2b-linkedin#cadence)). Total reactions per week still rise with volume, from 74 at one to two posts to 126 at two to four and 185 at four or more, so posting more does buy more attention. When we split the two to four group further, people posting two to three times a week get a median of 129 reactions a week with a typical post of about 32. People posting three to four times a week get 95 a week with a typical post of about 23. So we think the best cadence for most people is two to three posts a week. Post less than that and you risk getting lost in the noise, and much more than that and most people start putting out weak posts because they're out of ideas, which Figure 8 shows has a cost. ## Industries, and which ones talk to each other Figure 10: Median typical post of founders and execs by industry, for industries with 11 or more founders and execs we can measure. Source: published report. The median typical post ranges by industry from 69 reactions in Voice & Media AI to 10 in Banking, though Banking is only 14 execs at four banks ([source](https://benchmark.useimagine.ai/research/state-of-b2b-linkedin#industries)). Voice & Media AI holds at 69 even with its best-known company taken out, most software sits between about 40 and 48, and professional services sit near the bottom, with law firms at 17. So the right comparison for any team is its own industry. A bank CEO at 25 is doing very well while an AI founder at 25 has work to do, which also means a team in a quieter industry like banking needs far less to stand out from its peers. Figure 11: The benchmark's ecosystem view, showing which industries interact with each other through reshares, mentions and shared events over the last 180 days. Company-to-company ties are visible after sign-in. Source:[benchmark.useimagine.ai/discover/ecosystem](https://benchmark.useimagine.ai/discover/ecosystem). The benchmark also tracks how companies touch each other in public, through reshares, mentions and shared events. Over the last 180 days we see 2,221 ties between 150 companies across 19 industries, and venture capital sits at the center of it, with the strongest links between VC firms and dev tools, fintech, sales and marketing tech and AI infrastructure. Only 12% of those ties go both ways, so most of the time one company amplifies another and nothing comes back. The practical takeaway is that this is cheap reach most companies leave on the table. Resharing and mentioning the customers, partners and investors you work with costs almost nothing, and since so few companies return the favor, the ones that do stand out. ## How the ranking works Figure 12: Where every ranked company lands on the benchmark (ticks), against the curve of 2,864 ranked people,ranked on quality times presence, with the YC founder baseline marked at 49, 77 and 130. Source:[benchmark.useimagine.ai/arena](https://benchmark.useimagine.ai/arena). The [leaderboard](https://benchmark.useimagine.ai/arena) ranks 412 companies on one metric, quality times presence, and it is built around the same view we hold in this piece. Quality is how good a company's typical post is, measured as the median across its page and up to five of its people. Founders, CEOs and C-suite who posted in the last 90 days count first, then the most active, and the number is pulled toward the board-wide average when there are only a few accounts to go on. Presence is how much and how consistently they post. It combines posts per week over the last 13 weeks, with each account-week capped at seven posts so a burst past that buys nothing, and the share of those weeks with at least one post. A company with one great poster and nobody else usually won't rank as well as a company where five people post well every week. We think that's the single most important takeaway in this piece, because five good-enough posters beat one great one, and it's the behavior the data says works. If you want the details, the full method is on the [methodology page](https://benchmark.useimagine.ai/dashboard/methodology). ## What the best teams have in common At the top of the leaderboard a few habits show up again and again, and they're repeatable, so any team can build them into how it runs LinkedIn. - **The whole team posts.** At one of the top three companies on the leaderboard, a co-founder and the heads of growth, marketing and sales all post at a top-tier level, so the company itself acts as the channel. - **The CEO and the C-suite post often and visually.** One of the highest-ranked CEOs posts around twice a week, and only about one in ten of those posts is text only, with the rest images and video. - **Rhythm matters more than raw volume.** Another top CEO posts less than once a week, about two thirds of it video, and his company still sits in the top 10% of the board because he posts on a steady rhythm, week after week. - **A dull category doesn't hold you back.** A founder selling accounting software, which few people would call exciting, almost never posts text only, and his company ranks in the top 3% of the board. - **Marketing leaders post on their own accounts.** At more than one top-ranked company the CMO or VP of marketing posts well personally as well as running the company page. - **Investors are part of it.** Venture firms sit at the hub of the ecosystem in Figure 11, and a VC firm is #2 on the leaderboard, with several of its partners posting at a top-tier level. Your investors are one of the best gateways to a broader audience, so they're worth cultivating on LinkedIn too. ## What we do with this This is the playbook we already use with the growth-stage B2B teams we work with. For diversity, we get at least four people posting at least once a month, from at least three departments, with the CEO as one of them. For consistency, each of them posts two to three times a week, every week, so the rhythm holds without bursts. For authenticity, we cut the generic industry takes in favor of the things only that company can say, like the hire, the customer moment, the lesson from building it, or the milestone. For quality, every post that matters gets a strong image or a set of images, video only happens when there's something worth filming, and we skip the filler post when there's nothing worth saying, since it costs momentum. People also ask how you know it's working. We judge each account by how its own typical post changes over time, against its own industry, and we don't put much weight on the occasional viral post or on other people's results, since both depend on too much outside the poster's control. What we focus on is the day-to-day work of posting authentic, high-quality content consistently, because that's what our data shows to be the repeatable path. ## Where this is going Everything above is measured. This last part is where we think it all leads. AI has made content and outreach cheap. In July Originality.ai ran its detector over 5,000 public long-form LinkedIn posts and classified [81% as likely AI-written](https://originality.ai/blog/ai-content-published-linkedin), up from roughly half in late 2024. LinkedIn said in May that it now limits how far [generic AI content gets distributed](https://news.linkedin.com/2026/keeping-conversations-real-on-linkedin). Figures 6 and 7 are what that looks like in the data, since the cheapest posts to make, plain text and generic industry takes, are both the most common and the weakest. AI makes it easier than ever to create and share low-quality content, but that content doesn't cut through to your audience. At the same time the reader is changing, with [51% of B2B software buyers](https://learn.g2.com/g2-2026-ai-search-insight-report) in G2's 2026 survey now starting their research in an AI chatbot more often than in Google. The models those buyers rely on are built from what's public on the internet, so the trustworthy, high-quality posts that reach people are also the ones most likely to shape what those models tell buyers. We think the bigger shift is in how companies work with each other. Highly automated companies produce far more with far fewer people, and companies have always preferred to work with companies like themselves, which AI is likely to speed up. Two AI research papers take that idea seriously. In [TASRA](https://arxiv.org/abs/2306.06924) (2023), Andrew Critch and Stuart Russell sketch a future where automated companies increasingly buy from and sell to each other, "a collective tendency towards 'closing the loop' on production and consumption by fully automated companies." The [Gradual Disempowerment](https://arxiv.org/abs/2501.16946) paper (Kulveit et al., 2025) makes a related point about content, warning that "even human creators may primarily cater to AIs as the share of AI consumers of culture grows." Both papers are written as warnings and we read them that way. For B2B marketing, what matters is that more of the reading, sorting and deciding about which companies to work with will run through software, and the companies with a clear, trustworthy public voice are the ones both software and people will find. **But whichever future arrives, companies, automated or not, still need a way to find each other, judge each other and start working together.** Today that layer is LinkedIn. It launched in 2003 as an online resume and contacts network and has kept adding features since. But it still can't tell you how two companies relate to each other. We want the benchmark to become that measure. Today it measures posts, and the ecosystem view in Figure 11 is the start of something broader: a public measure of how B2B companies communicate outside their own walls, which companies touch each other, and how often and how well they do it. As more of that communication runs through agents on both sides, we think a neutral, open measure of it becomes the authority people check, and we want Imagine AI to be the connective tissue between those companies. For now, LinkedIn is still the center of how B2B companies connect, and we can't change that overnight. What we can do is help you and your team get heard there with the same four habits this data keeps pointing to, which are diversity, consistency, authenticity and quality, and if you want help putting them into practice we'd love to talk. ## Limitations Most of this is correlation, and reactions are only one signal among many, so keep in mind that they can be gamed and that we don't filter out engagement pods. The company set is curated rather than random; our people coverage is better at companies whose teams already post; and follower counts are only on file for some accounts. The format and topic comparisons measure each account against itself, so audience size can't explain those gaps, but none of this is a controlled experiment. ## Check your own company The [benchmark](https://benchmark.useimagine.ai/arena) is free to look at, so you can search your company to see where it lands in its industry, or look up your firm and your portfolio if you're an investor. The full report is at [benchmark.useimagine.ai/research/state-of-b2b-linkedin](https://benchmark.useimagine.ai/research/state-of-b2b-linkedin), with CSV and JSON downloads, licensed CC BY 4.0 so you can reuse any number or chart with a link. The study behind the method is [The distribution of LinkedIn engagement](/blog/the-distribution-of-linkedin-engagement). Want to see how your team stacks up in its industry? _Data through Oct 19, 2026. The report refreshes daily, so live numbers may move slightly from the ones here._ # The distribution of LinkedIn engagement: A study of Y Combinator founders Source: https://useimagine.ai/blog/the-distribution-of-linkedin-engagement Published: 2026-08-28 Authors: Neo Lee In the past few years, LinkedIn has become one of the primary distribution channels for early-stage startups due to its dense professional network. As the demand has grown, a large number of vendors have begun providing similar LinkedIn services along with an increasing volume of thought-leadership articles such as playbooks, growth frameworks, and posting strategies. However, there is fixed feedback on these articles because the conclusions often rely on personal anecdotes and are difficult to reproduce reliably. Before jumping into any predictive or causal claims, we should first characterize the distribution of engagement to establish a baseline reference. Concretely, what does engagement actually look like for an individual founder's posts, and how does it vary across founders? In this study, we focused on founders from the Winter 2024 (W24) and Summer 2024 (S24) cohorts of [Y Combinator (YC)](https://www.ycombinator.com), a reputable accelerator with a large, publicly accessible founder directory. Together, the two cohorts contributed over 20,000 public posts from more than 600 founders within an 18-month window, with roughly equal representation from each cohort. We found that, for an individual founder's account, post engagement approximates a log-normal distribution. We further modeled each founder with the log-normal distribution — $X_i \sim \operatorname{LN}(\mu_i, \sigma^2_i)$ — and found that the fitted parameters fall into the same range for both W24 and S24 founders. Our study suggests a model for interpreting LinkedIn engagement and a baseline for future comparisons with other populations, allowing more rigorous evaluation of engagement dynamics on LinkedIn. In the following sections, we describe our study design, data collection methods, and results in detail. ## Study design ### Data collection In this study, we scraped over 20,000 LinkedIn posts published by **W24 and S24 founders between January 1, 2025 and June 30, 2026**. For this purpose, we made five sampling choices deliberately: - **Two cohorts**: one for exploration and one for replication. - **Original posts only**: we excluded reposts and quote posts to focus our analysis on author-curated content. - **Founder personal accounts only**: we excluded company pages because company accounts behave differently from personal accounts and pooling them would require more careful treatment. - **Publication window**: we collected 18 months of data while ensuring the start of the window was at least 8 months after W24 Demo Day (3 months after S24 Demo Day) so that any in-batch burst of engagement had dissipated, allowing us to observe a steady-state founder distribution. - **Collection date**: all data was collected on a single day — July 16, 2026 — providing at least 2 weeks for all the post engagement to accrue and stabilize. We collected the listed LinkedIn URLs from all the founder profiles in the [YC startup directory](https://www.ycombinator.com/companies?batch=Summer%202024&batch=Winter%202024), which yielded 477 and 480 identifiable accounts for W24 and S24, respectively. Scraping every post inside the publication window gave 11,116 posts from 307 W24 accounts and 9,489 posts from 307 S24 accounts. ### Quantifying engagement In this study, we used **reaction count as the metric** to quantify post engagement because it is publicly available, simple, and interpretable. We also explored using the number of impressions, comments, reposts, or a composite metric to quantify engagement. However, impressions are not publicly available for scraping; both comments and reposts are zero (or near zero) for the majority of posts, leaving too little variation to support meaningful comparisons; and a composite metric introduces unnecessary [researcher degrees of freedom](https://en.wikipedia.org/wiki/Researcher_degrees_of_freedom) given that our study focuses on large-scale distributional shapes. ### Hold-out replication To prevent overinterpreting noise within a single sample, we **explored the W24 data and held out the S24 data for replication**. If a finding replicates in the hold-out dataset, we can be more confident that it reflects a genuine pattern. ## Results _Note that all the analyses and results are presented in log space._ To get an intuition about the data, we started by pooling all the post reactions naively. This produces a near-log-normal distribution with a **median of 48, a $p_{95}$ of 508, and a maximum of 10,313**, where the top 5% of the posts capture roughly half (47.7%) of the reactions while the bottom half contribute only 8.75%. However, this raises the question of whether this is a universal distribution that underpins every founder or a result of mixing different founders. To separate the effect of "who" is posting versus "what" is posted, we need to analyze each account's data individually. Figure 1: Reaction counts pooled across all 11,116 W24 founder posts, resembling a log-normal distribution with a median of 48 and a $p_{95}$ of 508. ### Every account's engagement resembles the same distribution To ensure we had enough sample size per account, we restricted the analysis to accounts with at least 18 posts published in the window, i.e., roughly one post per month on average. This gave us 138 of the 307 accounts (45%) that published in the window. It also reduced the total number of posts from 11,116 to 10,177. To compare each account's posts on the same scale, we standardized the post reaction counts by subtracting the author account's mean $\hat{\mu}$ and dividing by the account's standard deviation $\hat{\sigma}$ in log space. This shows us how each post performs relative to that account's average. When we visualized each account's standardized density, we found that the curves track **a standard normal distribution closely with a small positive skew**. Figure 2: Densities of standardized log reactions for 138 W24 accounts with 18+ published posts overlaid with a standard normal reference. Indeed, [numerous prior studies](https://cacm.acm.org/research/predicting-the-popularity-of-online-content/) have found that some social media engagement data follows a log-normal distributionA power-law distribution is another common model for social media engagement data., and our study reinforces this observation. One could argue for a closely related variant instead (a skewed alternative, or one with a Pareto tail), but for the sake of establishing a baseline understanding, we used a simple log-normal model to describe the data. After fitting a log-normal distribution — $X_i \sim \operatorname{LN}(\mu_i, \sigma^2_i)$ — to each account, we found that $\hat{\mu}_i$ and $\hat{\sigma}_i$ are also roughly normally distributed. Selected percentiles of $\hat{\mu}_i$: | **Percentile** | **Log scale ($\boldsymbol{\hat{\mu}}_i$)** | **Linear scale** | | ----------------- | ------------------------------------------ | ---------------- | | Median ($p_{50}$) | 3.89 | 49 | | 75th ($p_{75}$) | 4.34 | 77 | | 90th ($p_{90}$) | 4.98 | 145 | For within-account variance, the fitted log-normal $\hat{\sigma}_i$ parameter also shows consistency across accounts. In particular, for a typical account, 68.3% of the posts land between roughly half and double its median number of reactions, i.e., $\left(\frac{1}{2}e^{\hat{\mu}_i},2e^{\hat{\mu}_i}\right)$: | **Percentile** | **$\boldsymbol{\hat{\sigma}}_i$** | **Spread ($\boldsymbol{e^{\hat{\sigma}_i}}$)** | | ----------------- | --------------------------------- | ---------------------------------------------- | | 25th ($p_{25}$) | 0.65 | 1.92x | | Median ($p_{50}$) | 0.74 | 2.10x | | 75th ($p_{75}$) | 0.85 | 2.34x | We further tested the correlation between $\hat{\mu}_i$ and $\hat{\sigma}_i$ and found essentially no monotonic relationship (Spearman's $\rho = +0.05$, $p = 0.53$). Figure 3: Fitted log-normal parameters $\hat{\mu}_i$ and $\hat{\sigma}_i$ for all 138 W24 accounts and their Spearman correlation in a scatter plot. ### Replication in S24 Applying the same process as for W24, we started by pooling all post reactions across accounts, which yields a near-log-normal distribution with summary statistics closely aligned with W24's: | | Posts | Median | $p_{95}$ | | ------- | ------ | ------ | -------- | | **W24** | 11,116 | 48 | 508 | | **S24** | 9,489 | 42 | 377 | Standardizing each post's reactions as before, we overlaid the standardized densities and found that they also track a standard normal distribution with a small positive skew. More importantly, the combined standardized distribution from S24 parallels that of W24 almost exactly as shown in Figure 4. Using the same simple log-normal model, we fitted the parameters $\hat{\mu}_i$ and $\hat{\sigma}_i$ for every account in S24 and found that they fall into the same range as those in W24: | $\hat{\mu}_i$ | $p_{50}$ | $p_{75}$ | $p_{90}$ | | ------------- | --------- | --------- | ---------- | | **W24** | 3.89 (49) | 4.34 (77) | 4.98 (145) | | **S24** | 3.86 (47) | 4.33 (76) | 4.79 (120) | | $\hat{\sigma}_i$ | $p_{25}$ | $p_{50}$ | $p_{75}$ | | ---------------- | ------------ | ------------ | ------------ | | **W24** | 0.65 (1.92x) | 0.74 (2.10x) | 0.85 (2.34x) | | **S24** | 0.66 (1.93x) | 0.75 (2.10x) | 0.90 (2.46x) | We further tested the correlation between $\hat{\mu}_i$ and $\hat{\sigma}_i$ and found Spearman's $\rho = -0.08 \; (p = 0.42)$. This is consistent with W24's $+0.05 \; (p = 0.53)$, showing effectively no monotonic correlation. Our replication shows that all the findings from W24 carry over to S24, including the overall engagement statistics, each account's standardized density, and the range of the fitted parameters. It provides evidence that our results reflect a genuine pattern rather than an artifact of a single sample. Figure 4: S24 replication of the W24 analyses — pooled reactions, standardized densities, and fitted $\hat{\mu}_i$ and $\hat{\sigma}_i$ — overlaid with the W24 distributions. ## Conclusion In our study, we found that each YC founder's engagement closely follows the log-normal distribution, a distribution that commonly shows up in places where outcomes are [the product of many small multiplicative effects](https://en.wikipedia.org/wiki/Log-normal_distribution), such as stock prices, firm sizes, or income. This suggests that LinkedIn engagement within an account arises from a multiplicative process: a post's final reaction count may be the product of the author's network size, the algorithmic distribution triggered by early reactions, the reach gained through resharing into adjacent networks, and other factors. If LinkedIn engagement indeed arises from this type of process, the obvious next question is: what are the key contributing factors? Furthermore, by modeling each account's engagement with a log-normal distribution — $X_i \sim \operatorname{LN}(\mu_i, \sigma^2_i)$ — we found that the fitted parameters fall into the same range for both W24 and S24 founders. [Industry analyses](https://jaredheyman.medium.com/on-the-new-y-combinator-3c28e548896c) of YC cohorts suggest composition is relatively stable between neighboring batches. It is therefore plausible that this homogeneity drives the similarity in fitted parameters, reflecting the YC selection process, and that the fitted parameters can serve as a baseline for YC founders. While these findings provide important insights, one limitation is that a single log-normal model fitted across an 18-month window does not account for engagement trends over time. LinkedIn also [replaced its production feed ranker during our observation window](https://arxiv.org/abs/2602.12354), a change the company reports lifted likes, comments, and reshares by about 3.5%, albeit small next to the roughly 2.10x within-account spread we measure. We briefly explored cohort-wide trends during the study and found no systematic drift besides idiosyncratic patterns in a small subset of accounts, but even so these effects are negligible in comparison to the consistently high within-account variance. Nonetheless, a more targeted analysis within these outliers to examine longitudinal trends versus the broader sample would be worthwhile. --- # Blazel vs Imagine AI: LinkedIn Content Platforms for B2B Teams Compared Source: https://useimagine.ai/compare/blazel-vs-imagine-ai Updated: 2026-10-20 Blazel and Imagine AI both help a B2B company get its executives and team posting on LinkedIn, and both price per seat. Blazel's Ember agent turns live voice interviews into three versions of each post, delivered in Slack or Microsoft Teams. Imagine AI is an agent with its own computer, browser and sandbox that researches and drafts posts and graphics for every profile and the company page from your content filesystem, and matches engagers against HubSpot or Salesforce. ## Verdict: Blazel interviews you into posts. Imagine AI's agent researches, writes and designs them. Blazel fits a marketing lead who likes talking takes out loud and wants drafts arriving in Slack or Teams. Imagine AI fits teams that want an agent doing the research, the writing and the graphics from their own strategy files, with the benchmark and CRM data behind every post. Choose Blazel if: You want drafts delivered inside Microsoft Teams. You would rather talk each post out in a live voice interview. Choose Imagine AI if: You want an agent that does the research for you, with its own browser, instead of interviewing you for every post. You want a graphic drafted with every post, on brand, from your brand kit. You want drafts built from your own positioning, brand kit, decks and campaigns, so posts need small edits, not rewrites. You want the benchmark of 1,000+ B2B companies inside the agent, so drafts are checked against what works in your industry. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. Interviews versus research. Blazel's Ember draws posts out of you: it finds an idea, interviews you out loud and writes three versions. Imagine AI's agent has its own computer, browser and sandbox, so it can research a topic, pull your past posts and campaign files, and come back with a finished post and graphic from one prompt. Blazel needs your voice on a call. Imagine AI needs your approval. 2. Post and graphic together. Imagine AI drafts the graphic with the post, from your brand kit, inside its own sandbox, or uses a photo you add, and can tag the people and companies in it. Blazel's pricing page lists three posts a week, live interviews, profile data and analytics per seat, and does not list graphics. Each draft can come with its graphic. 3. Where the context lives. Imagine AI keeps a content filesystem for your company: positioning, brand kit, decks, past posts, campaigns and compliance rules. The agent reads it before every draft and every teammate's posts pull from the same source. One source of truth for the whole team. 4. Data behind the drafts. Blazel queries 220M+ enriched profiles and your company's social graph, and its free Report Card benchmarks your past posts against peers. Imagine AI's agent reads a public benchmark of 1,000+ B2B companies while it drafts, so post type and format choices come from your industry's data. Benchmark data inside the drafting, not only in a report. 5. Who sets you up. Imagine AI starts with white-glove onboarding from our San Francisco team: positioning, brand kit, connections, engagers and a market map of your industry, then check-ins and a shared Slack channel. Blazel also offers onboarding and lets you start with one seat. White-glove setup with our SF team. | | Blazel | Imagine AI | | --- | --- | --- | | Core job | Company-wide LinkedIn engine run by one marketing lead | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | Ember agent from live voice interviews, three versions per post | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | LinkedIn | Starts with LinkedIn | | Team setup | Executives, sales and marketing posting; drafts in Slack or Teams | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | What the drafts are built from | Your notes, calls, trending news and interviews | A content filesystem with your positioning, brand kit, decks, past posts, campaigns and compliance rules, read before every draft | | Revenue measurement | Engagers enriched and sent to your CRM; company-wide analytics | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Data behind the drafts | 220M+ enriched profiles and your company's social graph | A public benchmark of 1,000+ B2B companies that the agent reads, plus engagement data on 1M+ people | | Pricing | $500 per seat a month, one tier | Per LinkedIn profile, unlimited teammates; quoted on a demo call | ## FAQ ### What is the difference between Blazel and Imagine AI? Both help B2B teams post on LinkedIn and price per seat. Blazel turns live voice interviews into posts delivered in Slack or Teams. Imagine AI is an agent with its own browser and sandbox that researches and drafts posts and graphics from your content filesystem, reads a benchmark of 1,000+ B2B companies, and matches engagers against HubSpot or Salesforce. ### Does Imagine AI make graphics? Yes. The agent drafts the graphic with each post inside its sandbox, using your brand kit from the content filesystem. ### How much do Blazel and Imagine AI cost? Blazel publishes $500 per seat a month, checked Oct 20, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. Sources: https://blazel.com, https://blazel.com/pricing, https://useimagine.ai # Taplio vs Imagine AI: LinkedIn Growth Tool vs Team Content Agent Source: https://useimagine.ai/compare/taplio-vs-imagine-ai Updated: 2026-10-20 Taplio is a self-serve LinkedIn growth tool you operate yourself: inspiration, AI drafts, scheduling and, on Pro, automated connection requests and DMs, from $39 a month. Imagine AI is a GTM agent that starts with LinkedIn: it drafts and schedules posts and graphics for your company page, founders, executives and employees from your own strategy files, then matches engagers against your CRM. Pick Taplio to write your own posts at a low cost; pick Imagine AI when a team should be posting and you need to see pipeline. ## Verdict: Taplio is a toolkit you run. Imagine AI is an agent that runs your team's content. Taplio is the better fit if you want to write your own posts with AI help and spend under $200 a month. Imagine AI is built for B2B companies where the company page and several people should post, nobody has time to write, and the content has to show up in pipeline. Choose Taplio if: You want to write your own posts with AI help and spend under $200 a month. You want self-serve signup today, with a 7 day trial. You want rule-based DM sequences that fire the moment someone accepts a connection (Taplio Pro). You want a Chrome extension and a 5M+ viral post library to write from. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts built from your own positioning, brand kit, decks and campaigns, so posts need small edits, not rewrites. You want a graphic drafted with every post, on brand, from your brand kit. You want engagers turned into a weekly list for sales, matched to your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. You want to start with one or two profiles and add the team later. ## Differences 1. A toolkit you operate versus an agent that drafts. Taplio gives one person the writing, scheduling and engagement controls, and that person does the work, about 10 minutes a day by Taplio's own estimate. Imagine AI's agent drafts and schedules for the whole team, company page included, and each person only reviews, approves or edits. You run Taplio. Imagine AI runs the drafting. 2. Viral inspiration versus your own strategy. Taplio writes from a 5M+ post inspiration library. Imagine AI reads a content filesystem before every draft: your positioning, brand kit, decks, past posts and campaigns, and it checks drafts against what works in your industry in a benchmark of 1,000+ B2B companies. Taplio optimises for reach. Imagine AI writes for your buyers. 3. Rules-based outreach versus outreach aimed at your ICP. Taplio Pro sends connection requests and DMs to people who engage, on rules you set. Imagine AI's agent comments, connects and messages too, but it picks who to reach from your engager data matched to your ICP and CRM, and writes each message from why that person fits. Every week it also hands sales a list of engagers matched to your ICP, with the same data over an API Same actions, aimed at the right people. 4. Accounts side by side versus one content motion. Taplio manages multiple accounts, each with its own drafts and analytics. Imagine AI puts the company page and every person's posts on one calendar, so launches, hires and customer wins are sequenced across the team, and each draft comes with its graphic. Several accounts versus one coordinated team. 5. Analytics versus revenue. Taplio reports followers, impressions and per-post performance. Imagine AI matches audience activity against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. Taplio measures posts. Imagine AI measures pipeline. | | Taplio | Imagine AI | | --- | --- | --- | | Core job | Helps one person write, schedule and automate engagement | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | You, with AI drafting | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | LinkedIn, plus X through Tweet Hunter | Starts with LinkedIn | | Actions on LinkedIn | Pro automates connection requests, DMs and replies | One agent posts, comments, sends connection requests and messages on LinkedIn, aimed at your ICP; you approve what goes out | | Team setup | Multiple accounts in one organisation, each managed separately | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | What the drafts are built from | A 5M+ viral post inspiration library and your past posts | A content filesystem with your positioning, brand kit, decks, past posts, campaigns and compliance rules, read before every draft | | Revenue measurement | Post analytics; no CRM matching | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | $39, $69 or $199 a month | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Your time | About 10 minutes a day, by Taplio's estimate | A few hours a month of review once live | | Best for | Individual creators and agencies | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the main difference between Taplio and Imagine AI? Taplio is a self-serve LinkedIn growth tool you operate: it helps you write, schedule and automate engagement. Imagine AI is a GTM agent that starts with LinkedIn: it drafts and schedules posts and graphics for your company page, founders, executives and employees, and matches engagers against your CRM so closed deals trace back to the post that started them. ### Is Taplio cheaper than Imagine AI? Yes for one person. Taplio is $39, $69 or $199 a month and you sign up yourself. Imagine AI is priced per LinkedIn profile with unlimited teammates and includes white-glove onboarding and a shared Slack channel. ### Does Imagine AI send connection requests and messages like Taplio? Yes. Imagine AI's agent comments, sends connection requests and messages on LinkedIn, aimed at engagers who match your ICP, and you approve what goes out. Taplio Pro sends them on rules you set to everyone who engages. ### Which is better for a team? Imagine AI, if nobody has time to write and the content needs to tie back to revenue. Taplio fits teams where each person writes for themselves and wants their own toolkit. Sources: https://taplio.com/pricing, https://taplio.com/linkedin-automation, https://taplio.com/taplio-linkedin-mcp, https://useimagine.ai # Supergrow vs Imagine AI: Employee Advocacy Platform vs Content Agent Source: https://useimagine.ai/compare/supergrow-vs-imagine-ai Updated: 2026-10-20 Supergrow is a self-serve LinkedIn platform where each person's ideas are captured through short AI interviews and a marketing team runs approvals, from $39 a month or $199 for five accounts. Imagine AI is a GTM agent that starts with LinkedIn: it drafts posts and graphics for your company page, executives and employees from your strategy files, with no interviews, and traces closed deals back to content. Pick Supergrow for gamified advocacy at a self-serve price; pick Imagine AI when the content has to prove pipeline. ## Verdict: Supergrow captures your people's ideas. Imagine AI drafts for them and measures what it earned. Supergrow fits a marketing or comms team that wants a low-cost, self-serve advocacy program with challenges, leaderboards and Slack nudges, and people willing to record interviews. Imagine AI fits teams that want the drafting done from their own strategy, graphics included, and content measured in deals. Choose Supergrow if: You want self-serve pricing today: $39 a month for one account or $199 for five. You want challenges, leaderboards and Slack nudges to gamify employee advocacy. Your people are happy to record 10 to 15 minute voice interviews that become posts. Choose Imagine AI if: Your executives will not sit for interviews and still need to post. You want drafts built from your own positioning, brand kit, decks and campaigns, so posts need small edits, not rewrites. You want a graphic drafted with every post, on brand, from your brand kit. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. You want the company page, founders, executives and employees on one calendar, with unlimited teammates. ## Differences 1. Interviews in versus drafts out. Supergrow captures each person's ideas through PostCast, a 10 to 15 minute AI interview that becomes three to five posts. Imagine AI's agent drafts from your content filesystem, each person's past posts, and material you already have such as videos, decks, blog posts and call notes, so the input is your strategy rather than a weekly interview. Supergrow needs your people's time. Imagine AI needs their approval. 2. Gamified advocacy is Supergrow's strength. Supergrow Teams includes challenges, leaderboards and Slack notifications, all self-serve. If gamifying posting across a large staff is the main goal, it is built for that. Pick Supergrow for gamified advocacy. 3. Post and graphic together. Supergrow includes a multi-image post maker you operate. Imagine AI's agent can draft the graphic with each post inside its own sandbox, from your brand kit, or use a photo you add. Each draft can come with its graphic. 4. Analytics versus attribution. Supergrow reports team impressions, reactions, follower growth and estimated earned media value. Imagine AI matches audience activity against HubSpot or Salesforce, traces closed deals back to their first content touch, and hands sales a weekly list of engagers matched to your ICP. Supergrow reports reach. Imagine AI reports pipeline. 5. Self-serve versus set up with you. Supergrow publishes its prices and you can start a trial today. Imagine AI starts with white-glove onboarding from our San Francisco team, positioning, brand kit and a market map of your industry, plus a shared Slack channel. Sign up yourself versus a program built with you. | | Supergrow | Imagine AI | | --- | --- | --- | | Core job | Captures each person's expertise and runs advocacy approvals | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | AI drafts from each person's interviews; they approve | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | LinkedIn | Starts with LinkedIn | | Team setup | Teams plan: 5 accounts, approvals, org dashboard, leaderboards | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | What the drafts are built from | Each person's Content DNA and PostCast interviews | A content filesystem with your positioning, brand kit, decks, past posts, campaigns and compliance rules, read before every draft | | Revenue measurement | Team analytics and earned media value; no CRM matching | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | $39 a month; Teams $199 for 5 accounts | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | Marketing and comms teams running gamified advocacy | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Supergrow and Imagine AI? Supergrow is a self-serve platform that turns short AI interviews into posts, with approvals and leaderboards for employee advocacy. Imagine AI is a GTM agent that starts with LinkedIn: it drafts posts and graphics for your company page, executives and employees from your strategy files and maps engagement to your CRM. ### Is Supergrow or Imagine AI better for employee advocacy? Supergrow, if you want gamified advocacy (challenges, leaderboards, Slack nudges) at a self-serve price and your people will record interviews. Imagine AI drafts for anyone you connect, executives and employees alike, without interviews, and shows which of those posts touched pipeline. ### How much does Supergrow cost compared with Imagine AI? Supergrow Pro is $39 a month for one account and Teams is $199 a month for five accounts, checked Oct 20, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Do I have to record interviews with Imagine AI? No. Onboarding is a one hour kickoff, about 10 photos from each person posting and a short form. After that the agent drafts from your content filesystem and each person reviews, approves or edits. Sources: https://www.supergrow.ai/pricing, https://www.supergrow.ai/employee-advocacy, https://useimagine.ai/pricing # Ordinal vs Imagine AI: Social Planning Platform vs Content Agent Source: https://useimagine.ai/compare/ordinal-vs-imagine-ai Updated: 2026-10-20 Ordinal is software your marketing team operates to write, approve and schedule posts across LinkedIn, X, Instagram and more, from $95 a month. Imagine AI is a GTM agent that starts with LinkedIn and does the LinkedIn drafting and graphics for your company page, executives and employees, from your own strategy files, and traces closed deals back to the content. Pick Ordinal when you have writers and many channels; pick Imagine AI when the writing is the bottleneck and LinkedIn pipeline is the goal. ## Verdict: Ordinal equips the team that writes. Imagine AI is the one writing. Ordinal is the stronger tool for a social team that already writes for several people and needs calendars, approvals, cross-network publishing and coordinated likes and reposts. Imagine AI is for B2B teams where the writing itself is the bottleneck and the result has to show up in the CRM. Choose Ordinal if: You publish to X, Instagram, Threads, TikTok or YouTube Shorts as well as LinkedIn. You want team engagements that coordinate likes and reposts across your team's accounts. You have writers and want public self-serve pricing with a 14 day trial. Choose Imagine AI if: You do not have writers, or your writers cannot keep up with every person who should post. You want drafts built from your own positioning, brand kit, decks and campaigns, so posts need small edits, not rewrites. You want a graphic drafted with every post, on brand, from your brand kit. You want closed deals traced to their first content touch without an Enterprise upgrade. LinkedIn is the channel that reaches your buyers. ## Differences 1. A platform to operate versus an agent that drafts. Ordinal gives your team an editor, AI help (30 generations a month on Starter, 500 on Pro), a calendar and approvals. Someone on your side still writes. Imagine AI's agent researches and drafts LinkedIn posts and graphics for the whole team, and people only review, approve or edit. Your team runs Ordinal. Imagine AI does the drafting. 2. Ordinal wins on channel breadth. Ordinal publishes to LinkedIn, X, Instagram, Threads, Facebook, TikTok and YouTube Shorts from one calendar. Imagine AI starts with LinkedIn and goes deep there. If your social plan spans many networks today, Ordinal covers more of it. Many networks, pick Ordinal. 3. Amplifying posts versus planning what gets posted. Ordinal's team engagements coordinate likes, first comments and reposts across your team's accounts. Imagine AI coordinates the content itself, sequencing the company page and every person's posts around launches, hires and customer wins, each with its graphic. Amplification versus the content motion. 4. CRM connection by plan. Ordinal connects leads to CRM data on its Enterprise plan, with a leads data add-on on Growth. Imagine AI's core product matches engagers against HubSpot or Salesforce, traces each closed deal back to its first content touch and hands sales a weekly list of engagers matched to your ICP. Attribution is an upgrade in Ordinal and the point of Imagine AI. 5. An assistant versus a data-driven agent. Ordinal's AI drafts in your editor. Imagine AI's agent reads your content filesystem and a public benchmark of 1,000+ B2B companies, so every post is aimed at your ICP and checked against the post types and formats that work in your industry. Drafts informed by what works. | | Ordinal | Imagine AI | | --- | --- | --- | | Core job | Write, approve, schedule and analyse social content | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | Your team, with Ordinal AI | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | LinkedIn, X, Instagram, Threads, Facebook, TikTok, YouTube Shorts | Starts with LinkedIn | | Actions on LinkedIn | Team engagements: coordinated likes, comments, reposts | One agent posts, comments, sends connection requests and messages on LinkedIn, aimed at your ICP; you approve what goes out | | Team setup | Unlimited users on Pro; approvals; employee advocacy on Growth | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | Revenue measurement | Leads data add-on on Growth; CRM connection on Enterprise | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | $95, $265 or $695 a month | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | Marketing teams and agencies running many channels | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the main difference between Ordinal and Imagine AI? Ordinal is a social media platform your team uses to write, approve and schedule posts across many networks. Imagine AI is a GTM agent that starts with LinkedIn: it drafts and schedules LinkedIn posts and graphics for your company page and team and maps engagement to your CRM. ### Does Imagine AI post to X or Instagram like Ordinal? Not today. Imagine AI starts with LinkedIn. Ordinal publishes to LinkedIn, X, Instagram, Threads, Facebook, TikTok and YouTube Shorts. ### How does pricing compare? Ordinal is $95, $265 or $695 a month, with Enterprise custom, checked Oct 20, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can Ordinal and Imagine AI work together? Yes. A social team can keep Ordinal for other networks while Imagine AI drafts the LinkedIn posts and reports the pipeline they touched. Sources: https://www.tryordinal.com/pricing, https://docs.tryordinal.com/social-profiles/overview, https://useimagine.ai # AuthoredUp vs Imagine AI: LinkedIn Writing Tool vs Content Agent Source: https://useimagine.ai/compare/authoredup-vs-imagine-ai Updated: 2026-10-20 AuthoredUp is a Chrome extension and web app for people who write their own LinkedIn posts: formatting, previews, native scheduling and deep analytics, with no automation, from $19.95 a month. Imagine AI is a GTM agent that starts with LinkedIn: it drafts the posts and graphics for your company page, executives and employees and maps the engagement to your CRM. Pick AuthoredUp if you love writing; pick Imagine AI if nobody on the team has time to. ## Verdict: AuthoredUp makes your writing better. Imagine AI does the writing. AuthoredUp is the better fit for individuals and ghostwriters who write every post and want the best editor and analytics inside LinkedIn, at a low price. Imagine AI fits B2B teams whose leaders and team should be posting but are not, and who need the content tied to revenue. Choose AuthoredUp if: You or your ghostwriter write every post and want a better editor, previews and text styling. You want deep analytics on your historical posts from $19.95 a month. You want no automation of any kind on the account. You also post to LinkedIn groups. Choose Imagine AI if: Nobody on the team has time to write. You want a graphic drafted with every post, on brand, from your brand kit. You want drafts built from your own positioning, brand kit, decks and campaigns, so posts need small edits, not rewrites. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. You want the company page, founders, executives and employees on one calendar, with unlimited teammates. ## Differences 1. Editor versus agent. AuthoredUp gives a writer formatting, a multi-device preview, hooks and endings, drafts and snippets inside LinkedIn. Its AI assistant, Coauthor, is in closed beta. Imagine AI's agent researches and drafts each post and its graphic, and people review, approve or edit. AuthoredUp helps you write. Imagine AI writes. 2. AuthoredUp wins on writer tooling and price. For someone who writes their own posts, AuthoredUp's editor, native scheduling through the extension and analytics on past posts are hard to beat at $19.95 a month, and ghostwriters who do not connect a profile are free on Business. Pick the specialist when you are the writer. 3. Analytics versus attribution. AuthoredUp breaks down performance by post type, day, length and readability. Imagine AI matches the people engaging against HubSpot or Salesforce, traces closed deals back to their first content touch and hands sales a weekly list of engagers matched to your ICP. Which posts did well versus which posts made money. 4. Profiles side by side versus one content motion. AuthoredUp Business connects multiple profiles with separate drafts and analytics. Imagine AI puts the company page and every person on one calendar, reading the same content filesystem, so every post supports the same positioning and campaigns. Several profiles versus one coordinated team. 5. Engagement on LinkedIn. AuthoredUp does no automation and uses LinkedIn's own scheduler. Imagine AI's agent posts, comments, connects and messages for you, and you approve what goes out. Neither runs engagement pods or bots. AuthoredUp does none; Imagine AI does it with your approval. | | AuthoredUp | Imagine AI | | --- | --- | --- | | Core job | Write, format, preview, schedule and analyse your own posts | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | You or your ghostwriter | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | LinkedIn profiles, pages and groups | Starts with LinkedIn | | Actions on LinkedIn | None: no automation, no cookies | One agent posts, comments, sends connection requests and messages on LinkedIn, aimed at your ICP; you approve what goes out | | Team setup | Business plan connects 3+ profiles with team analytics | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | Revenue measurement | Post analytics and API; no CRM matching | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | $19.95 a month; $14.95 per profile on Business | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | People and ghostwriters who write every post | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between AuthoredUp and Imagine AI? AuthoredUp is a writing and analytics tool for people who write their own LinkedIn posts. Imagine AI is a GTM agent that starts with LinkedIn: it drafts and schedules posts and graphics for your company page and team and maps engagement to your CRM. ### Is AuthoredUp safe for my LinkedIn account? AuthoredUp says it does not automate activity or collect LinkedIn cookies, and it schedules through LinkedIn's native scheduler. Imagine AI's agent posts, comments, connects and messages for you, and you approve what goes out. ### How much does AuthoredUp cost? Individual is $19.95 a month or $16.63 billed yearly; Business is $14.95 per profile a month with a three profile minimum, checked Oct 20, 2026. Sources: https://authoredup.com/pricing, https://authoredup.com/, https://help.authoredup.com/articles/linkedin-scheduling-native-how-it-works # Kleo vs Imagine AI: Personal Brand Coach vs Team Content Agent Source: https://useimagine.ai/compare/kleo-vs-imagine-ai Updated: 2026-10-20 Kleo is a $99 a month personal brand system for LinkedIn that pairs AI writing in your voice with templates, weekly live coaching and a community. Imagine AI is a GTM agent that starts with LinkedIn: it drafts and schedules posts and graphics for your company page, founders, executives and employees and traces deals back to content. Pick Kleo to build your own brand with coaching; pick Imagine AI when a company needs its page and people posting and needs to see pipeline. ## Verdict: Kleo coaches you to post. Imagine AI posts for your team. Kleo is the better fit for consultants, coaches and founders who want to learn LinkedIn and write with an AI partner and a community behind them. Imagine AI fits B2B companies that want the page and several people posting without adding writing to anyone's week. Choose Kleo if: You want weekly live group coaching and a private community. You want to stay hands-on and write every post with an AI partner. You want a flat self-serve price of $99 a month. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts built from your own positioning, brand kit, decks and campaigns, so posts need small edits, not rewrites. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. You want to start with one or two profiles and add the team later. ## Differences 1. Learning to post versus getting it done. Kleo includes a training library, templates, group onboarding and weekly live calls, so you get better at LinkedIn yourself. Imagine AI's agent drafts for each person and they review, approve or edit; most clients spend only a few hours a month on the platform. Kleo builds a skill. Imagine AI removes the task. 2. Kleo wins on coaching and community. If you want people to learn alongside, Kleo's weekly calls and private community are part of the plan. Imagine AI's support is about your program: white-glove onboarding, a shared Slack channel and an optional dedicated growth researcher. Pick Kleo for group coaching. 3. Personal brand versus company motion. Kleo learns your expertise and style for your own brand. Imagine AI reads a content filesystem shared by the whole team, so the company page and every person's posts support the same positioning and launches. One brand versus one coordinated company. 4. Performance insights versus pipeline. Kleo shows performance insights for your posts. Imagine AI matches audience activity against HubSpot or Salesforce and traces each closed deal back to its first content touch. How posts did versus what they earned. 5. Flat price versus a program built with you. Kleo is $99 a month or $999 a year, plus $49 a month per extra profile. Imagine AI is priced per LinkedIn profile with unlimited teammates and starts with white-glove onboarding from our San Francisco team. Self-serve versus set up with you. | | Kleo | Imagine AI | | --- | --- | --- | | Core job | Personal brand system: strategy, writing, coaching | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | You, with an AI writing partner | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | LinkedIn | Starts with LinkedIn | | Team setup | Extra profiles $49 a month each | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | Revenue measurement | Performance insights; no CRM matching | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Who you work with | Weekly live group calls and a private community | San Francisco team, white-glove onboarding (positioning, brand kit, market map), a shared Slack channel, optional dedicated growth researcher | | Pricing | $99 a month or $999 a year | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | Consultants, coaches and solo founders | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Kleo and Imagine AI? Kleo helps an individual build a LinkedIn brand with AI writing, templates and live coaching. Imagine AI is a GTM agent that starts with LinkedIn: it drafts and schedules posts and graphics for your company page and team and maps engagement to your CRM. ### Does Kleo have a free trial? Kleo lists no free trial; monthly plans have a 7 day money back guarantee and annual plans 30 days, checked Oct 20, 2026. ### Which is better for a startup? Kleo if one founder wants to learn to post and enjoys writing. Imagine AI if the company needs its page, founders and team posting consistently and wants to see the pipeline it touched. You can start with one or two profiles. Sources: https://kleo.so/ # Typa vs Imagine AI: Chat-First Writing Agent vs B2B Content Agent Source: https://useimagine.ai/compare/typa-vs-imagine-ai Updated: 2026-10-20 Typa is an AI writing agent you text over iMessage, Slack or a voice call; it drafts in a cloned voice and publishes to X, LinkedIn, Bluesky and Medium, with a free plan and Pro at $17 a month. Imagine AI is a GTM agent for B2B companies that starts with LinkedIn: it drafts posts and graphics for the company page and team from your strategy files and benchmark data, and traces closed deals back to content. Pick Typa for low-cost, chat-first posting across networks; pick Imagine AI for LinkedIn pipeline. ## Verdict: Typa turns your ideas into posts. Imagine AI turns your content into pipeline. Typa is the better fit for a creator or founder who wants to text ideas in and post across several networks at a low cost. Imagine AI fits B2B companies that want coordinated LinkedIn content for the company page and team, aimed at their ICP and measured against the CRM. Choose Typa if: You want to text ideas, voice notes and photos to an agent over iMessage. You post to X, Bluesky or Medium as well as LinkedIn. You want a free plan or a $17 a month Pro plan. Choose Imagine AI if: LinkedIn is where your buyers are and you want content aimed at your ICP. You want a graphic drafted with every post, on brand, from your brand kit. You want drafts checked against a benchmark of 1,000+ B2B companies before they go out. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. You want the company page, founders, executives and employees on one calendar, with unlimited teammates. ## Differences 1. Your notes versus your buyers. Typa starts from what you send it: a voice note, a link, a thought. Imagine AI starts from your content filesystem and data: engagement on more than one million people and a benchmark of 1,000+ B2B companies, so posts are aimed at your ICP. Typa amplifies you. Imagine AI targets them. 2. Typa wins on interfaces and networks. Typa is a contact in your phone, a Slack agent and a voice call, and it publishes to X, LinkedIn, Bluesky and Medium. Imagine AI works through its platform and a shared Slack channel with our team, and starts with LinkedIn. Pick Typa for iMessage and multi-network posting. 3. Sounds like each person. Both clone voice. Imagine AI learns each person's voice from their past posts and the decks, blog posts and notes in your filesystem, and drafts a graphic with every post, so drafts need small edits, not rewrites. Voice plus visuals, ready to approve. 4. Analytics versus revenue. Typa reports impressions, engagement rate, best times and top posts. Imagine AI matches audience activity against HubSpot or Salesforce, traces closed deals to their first content touch and hands sales a weekly list of engagers matched to your ICP. Engagement versus pipeline. 5. Price. Typa is free, $17 a month for Pro or $50 per brand for Growth, checked Oct 20, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and includes white-glove onboarding. Self-serve versus set up with you. | | Typa | Imagine AI | | --- | --- | --- | | Core job | Chat-first agent that drafts and publishes your posts | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | The agent, from your notes and links; you approve | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | X, LinkedIn, Bluesky, Medium | Starts with LinkedIn | | Team setup | Growth: unlimited seats, roles, shared calendar | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | Revenue measurement | Engagement analytics; no CRM listed | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | Free; Pro $17 a month; Growth $50 per brand | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | Creators and founders posting across networks | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Typa and Imagine AI? Typa is a chat-first AI writing agent that turns your notes into posts for X, LinkedIn, Bluesky and Medium. Imagine AI is a GTM agent for B2B teams that starts with LinkedIn: it drafts posts and graphics from your strategy and benchmark data and maps engagement to your CRM. ### Can I text Imagine AI like Typa? Imagine AI works through its platform, where the whole team's posts sit on one calendar, plus a shared Slack channel with our team. Typa's iMessage contact is a feature Imagine AI does not have. Sources: https://www.typa.ai/pricing, https://www.typa.ai/imessage # Virio vs Imagine AI: B2B LinkedIn Content Engines Compared Source: https://useimagine.ai/compare/virio-vs-imagine-ai Updated: 2026-10-20 Virio runs a done-for-you LinkedIn program for B2B SaaS companies, producing a month of executive-led content at a time. Imagine AI is a GTM agent that starts with LinkedIn: it drafts posts and graphics for the company page, founders, executives and employees from your own strategy files, which anyone on your team can direct, and traces each closed deal back to its first content touch. Both are San Francisco teams that price on a call. ## Verdict: Virio delivers content as a service. Imagine AI gives your team an agent and the data behind it. Virio fits a B2B SaaS company that wants a month of content handed over at a time. Imagine AI fits teams that want an agent they can direct any day, graphics with every post, an open benchmark to check their market, and a deal-level view of what content did for revenue. Choose Virio if: You want a month of content delivered at a time rather than an agent your team directs. You want posts tested against simulated audience reactions, which Virio advertises. Choose Imagine AI if: You want an agent anyone on the team can ask for a post, a graphic or a campaign at any time. You want a graphic drafted with every post, on brand, from your brand kit. You want to check your market in a free public benchmark of 1,000+ B2B companies before you buy. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. You want your positioning and brand kit in a content filesystem your team owns. ## Differences 1. Service versus agent. Virio's team produces a month of content for you. Imagine AI's agent drafts for every profile you connect, from the founder to employees to the company page, and anyone on the team can ask it for a post, a graphic or a campaign at any time. Delivered content versus an agent you direct. 2. Attribution in the product. Virio reports deal-level attribution in its case studies. Imagine AI puts the matching in the product: engagers matched against HubSpot or Salesforce and each closed deal traced to its first content touch, with the method documented on our How we measure page. The deal-level trail is in the product. 3. Open data. Imagine AI publishes a free benchmark of 1,000+ B2B companies on LinkedIn, with its method and a CC BY 4.0 dataset, and the agent can pull from it while drafting. You can look up your market first. 4. Who you work with. Both teams are in San Francisco. Imagine AI includes white-glove onboarding, a shared Slack channel and an optional dedicated growth researcher. Similar support, different product. 5. Graphics with every post. Imagine AI's agent can draft the graphic with each post inside its own sandbox, from your brand kit in the filesystem, or use a photo you add. Post and graphic arrive together. | | Virio | Imagine AI | | --- | --- | --- | | Core job | Content engine for B2B SaaS to make LinkedIn the #1 channel | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | Virio's agents and in-house team | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | LinkedIn | Starts with LinkedIn | | Team setup | Every employee and executive | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | What the drafts are built from | Sales calls, pipeline data and a database of top B2B posts | A content filesystem with your positioning, brand kit, decks, past posts, campaigns and compliance rules, read before every draft | | Revenue measurement | Pipeline results shown in case studies | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | On request | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | B2B SaaS teams that want content delivered as a service | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Virio and Imagine AI? Both create LinkedIn content for B2B companies' employees and executives. Virio delivers it as a done-for-you service for B2B SaaS. Imagine AI is a content agent your team directs that drafts posts and graphics, matches engagers against your CRM, traces closed deals to their first content touch and reads an open LinkedIn benchmark. ### How much do Virio and Imagine AI cost? Virio does not publish pricing. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can I see data before buying Imagine AI? Yes. The public benchmark at benchmark.useimagine.ai shows posting cadence, format mix, who posts and where each of 1,000+ B2B companies sits in its industry. Customers get the full dashboard, competitor tracking and the agent's access to all of it. Sources: https://www.virio.ai/, https://benchmark.useimagine.ai/dashboard/methodology, https://benchmark.useimagine.ai # Hey Sid vs Imagine AI: Full-Service ABM vs LinkedIn Content Agent Source: https://useimagine.ai/compare/hey-sid-vs-imagine-ai Updated: 2026-10-20 Hey Sid is a full-service B2B marketing platform with a done-for-you team: person-targeted ads, human-written LinkedIn posts (four a month per person) and managed connection outreach. Imagine AI is a GTM agent that starts with LinkedIn: it drafts and schedules LinkedIn posts and graphics for your company page, executives and employees, and traces closed deals back to the post that started them. Pick Hey Sid when paid ads are the main job; pick Imagine AI when organic LinkedIn content is the motion. ## Verdict: Hey Sid runs your ads. Imagine AI runs your team's LinkedIn content. Hey Sid fits a mid-sized, sales-led B2B company that wants paid reach to buying committees plus a ghostwriter from one vendor. Imagine AI fits teams that want the company page and their people posting consistently on LinkedIn, aimed at their ICP and measured in the CRM. Choose Hey Sid if: You want LinkedIn, Meta, Google and display ads targeted at named buying committees. You want geo and event targeting around offices and venues. Choose Imagine AI if: Organic LinkedIn content is the channel you want to scale, beyond four posts a month per person. You want drafts built from your own positioning, brand kit, decks and campaigns, so posts need small edits, not rewrites. You want a graphic drafted with every post, on brand, from your brand kit. You want content and outreach from one agent, aimed at the engagers your posts pull in. You want the company page, founders, executives and employees on one calendar, with unlimited teammates. ## Differences 1. Paid reach versus organic content. Hey Sid's Always On runs person-targeted ads across LinkedIn, Meta, Google and display. Imagine AI does not run ads. Its agent creates your team's organic LinkedIn content and does the outreach too: comments, connection requests and messages, aimed at the people your posts pull in. Pick Hey Sid for paid ads. 2. Human ghostwriter versus agent. Hey Sid's Authority Builder is human ghostwriting: a strategist writes four LinkedIn posts a month per person from a discovery interview, with a three month minimum. Imagine AI's agent drafts posts and graphics for the whole team from your content filesystem, and each person reviews, approves or edits. Interview-led volume versus agent-led volume. 3. Both report pipeline. Hey Sid connects ad exposure to HubSpot opportunities and revenue. Imagine AI matches engagers on your content against HubSpot or Salesforce, traces each closed deal to its first content touch and hands sales a weekly list of engagers matched to your ICP, with the data over an API for your outbound tools. Ad influence versus content touches. 4. Data behind the drafts. Imagine AI's agent reads a public benchmark of 1,000+ B2B companies, so posts are aimed at the post types and formats that work in your industry. Every draft is checked against what works. 5. How you start. Both scope pricing on a call. Hey Sid's content product has a three month minimum. Imagine AI starts with a one hour kickoff and white-glove onboarding from our San Francisco team. Similar buying process, different scope. | | Hey Sid | Imagine AI | | --- | --- | --- | | Core job | Full-service ABM: ads, ghostwriting, managed outreach | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | A human content strategist, 4 posts a month per person | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | LinkedIn organic and ads, Meta, Google, display | Starts with LinkedIn | | Actions on LinkedIn | Managed connection requests and follow-ups after approval | One agent posts, comments, sends connection requests and messages on LinkedIn, aimed at your ICP; you approve what goes out | | Team setup | 2 to 3 people posting in parallel on Authority Builder | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | Revenue measurement | Ad exposure tied to HubSpot pipeline | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | On request; 3 month minimum on Authority Builder | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | Mid-sized, sales-led B2B companies | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Hey Sid and Imagine AI? Hey Sid is a done-for-you ABM platform covering ads, human-written LinkedIn posts and managed outreach. Imagine AI is a GTM agent that starts with LinkedIn: it drafts and schedules LinkedIn posts and graphics for your company page and team and maps engagement to your CRM. ### Does Imagine AI run LinkedIn ads? No. Imagine AI is organic LinkedIn content. Hey Sid runs LinkedIn, Meta, Google and display ads. ### Does Imagine AI send connection requests? Yes. Its agent sends connection requests, messages and comments from your team's profiles, aimed at engagers who match your ICP. Hey Sid runs outreach as a managed program with its own team. Sources: https://www.heysid.com/, https://www.heysid.com/authority-builder, https://www.heysid.com/precision-connect, https://www.heysid.com/revenue-reporting # LinkedIn Ghostwriter vs Imagine AI: Cost, Volume and Results Compared Source: https://useimagine.ai/compare/ghostwriter-vs-imagine-ai Updated: 2026-10-20 A LinkedIn ghostwriter interviews one executive and writes a fixed number of posts a month; published packages run about $1,750 to $6,500 a month per person for 8 to 20 posts. Imagine AI is a GTM agent that starts with LinkedIn: it drafts posts and graphics for the company page and every person you connect, from your own strategy files, and traces closed deals back to the post that started them. Hire a ghostwriter for one deeply personal voice; use Imagine AI to run a team and measure it. ## Verdict: A ghostwriter scales with hours. Imagine AI scales with the team. A good ghostwriter is the better choice when one executive wants a human to shape a very personal story and has time for regular interviews. Imagine AI fits companies that need the page and several people posting consistently, coordinated on one calendar, with a revenue report at the end of the month. Choose a LinkedIn ghostwriter if: One executive wants a human writer and enjoys regular interviews. The content is mostly personal storytelling that needs a long conversation to draw out. Choose Imagine AI if: Several people and the company page need to post, and per-person retainers add up. You want drafts built from your own positioning, brand kit, decks and campaigns, so posts need small edits, not rewrites. You want a graphic drafted with every post, on brand, from your brand kit. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. You want a ghostwriter's craft built into software: Imagine AI started as the operating system for ghostwriting teams. ## Differences 1. What it costs. Published LinkedIn ghostwriting packages we found: CareerBuddy $1,750 a month for 8 posts, $3,250 for 12 and $5,950 for 20, with three to twelve month minimums; Underdog Ghostwriting $2,500 to $6,500 a month; Inkiro $2,199 a month for about 8 executive posts. Freelancers on Upwork list ghostwriting at $20 to $45 an hour. Those prices are per executive. Imagine AI is priced per LinkedIn profile with unlimited teammates. Retainers per person versus one agent for the team. 2. Interviews versus a content filesystem. Ghostwriters work from discovery and regular interviews. Imagine AI's agent reads your content filesystem before every draft, with positioning, brand kit, decks, past posts and campaigns, and can work from videos and call notes you already have. Onboarding is a one hour kickoff, about 10 photos per person and a short form. Less of your executives' time. 3. A human voice is a ghostwriter's strength. For a founder who wants a human to shape a deeply personal story, a skilled ghostwriter's conversation is hard to replace. That is a fair reason to hire one, and you can keep a writer for one founder while Imagine AI covers everyone else. Pick a human for the most personal stories. 4. Data versus instinct. A ghostwriter brings experience. Imagine AI brings data: a benchmark of 1,000+ B2B companies showing, for example, that multi-image posts earn about twice an account's typical post and text-only posts earn less, and the agent drafts the graphic with every post. Every draft is checked against what works. 5. Posts versus pipeline. Ghostwriting packages report posts delivered, impressions and followers. Imagine AI matches engagers against HubSpot or Salesforce, traces each closed deal back to its first content touch and hands sales a weekly list of engagers matched to your ICP. A content report versus a revenue report. | | a LinkedIn ghostwriter | Imagine AI | | --- | --- | --- | | Core job | Writes posts for one executive from interviews | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | A human writer | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Team setup | One executive per package | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | What the drafts are built from | Your interviews and the writer's notes | A content filesystem with your positioning, brand kit, decks, past posts, campaigns and compliance rules, read before every draft | | Revenue measurement | Posts, impressions and followers | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | About $1,750 to $6,500 a month per person in published packages | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Your time | Regular interviews plus approvals | A few hours a month of review once live | | Best for | One executive who wants a human writer | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### How much does a LinkedIn ghostwriter cost? Published packages we checked on Oct 20, 2026 run about $1,750 to $6,500 a month per person: CareerBuddy $1,750 to $5,950 for 8 to 20 posts, Underdog Ghostwriting $2,500 to $6,500, Inkiro from $2,199. Upwork lists ghostwriters at $20 to $45 an hour. ### Is an AI content agent as good as a ghostwriter? For the most personal stories, a skilled human writer is hard to beat. For keeping the company page and several people posting consistently, aimed at your ICP, with graphics and CRM reporting, an agent like Imagine AI does work a single ghostwriter cannot cover. ### Can we keep our ghostwriter and use Imagine AI? Yes. You can keep a writer for one founder's personal posts while Imagine AI drafts for the company page and the rest of the team and reports the pipeline the content touched. Sources: https://thecareerbuddy.com/talent/linkedin-ghostwriting, https://underdog-ghostwriting.com/pricing, https://www.inkiro.com/pricing, https://www.upwork.com/hire/ghostwriters/cost/ # LinkedIn Agency vs Imagine AI: Retainers, Scope and Results Compared Source: https://useimagine.ai/compare/linkedin-agency-vs-imagine-ai Updated: 2026-10-20 A social media or LinkedIn agency runs your channels on a monthly retainer; one survey puts the average around $2,100 a month for three networks, and LinkedIn-specialist executive programs publish $2,000 to $6,500 a month. Imagine AI is a GTM agent that starts with LinkedIn: it drafts and schedules LinkedIn posts and graphics for your company page, executives and employees and traces closed deals back to the post that started them. Hire an agency for many networks, community management and video; use Imagine AI for LinkedIn tied to revenue. ## Verdict: An agency runs your channels. Imagine AI runs your LinkedIn and proves it. An agency is the better fit when you need several networks, community management and video production handled by people. Imagine AI fits B2B teams whose growth comes from the company page and their people on LinkedIn and who want to see that content in the CRM. Choose a LinkedIn agency if: You need Instagram, Facebook, TikTok or X managed as well as LinkedIn. You want people handling community management and replies. You need video production or brand campaigns. Choose Imagine AI if: LinkedIn is the channel that reaches your buyers. You want drafts built from your own positioning, brand kit, decks and campaigns, so posts need small edits, not rewrites. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. You want to check your market in a public benchmark before you buy. You want the company page, founders, executives and employees on one calendar, with unlimited teammates. ## Differences 1. What agencies cost. HeyOrca's 2024 survey of 100+ agency and freelance social media managers found an average retainer of $2,107 a month for three networks, three posts per network a week and 5 to 10 hours of community management. LinkedIn-specialist executive programs publish $2,000 to $6,500 a month. Imagine AI is priced per LinkedIn profile with unlimited teammates. Retainers for hours versus an agent for the team. 2. Agencies win on breadth and production. Imagine AI covers LinkedIn: posts and graphics for your team and company page, the engager data behind them and competitor benchmarks. It does not run other networks, community management or video production. Pick an agency for many channels. 3. Briefs versus a filesystem. Agencies work from briefs and monthly calls. Imagine AI's agent reads your content filesystem before every draft, with positioning, brand kit, decks, past posts, campaigns and compliance rules, so context lives in one place the agent reads every time. No context lost between meetings. 4. Reports versus revenue. Agency reports usually cover reach, engagement and followers. Imagine AI matches engagers against HubSpot or Salesforce, traces each closed deal back to its first content touch and hands sales a weekly list of engagers matched to your ICP. Activity versus pipeline. 5. Approvals for regulated teams. Approvals can sit with each person or route through one owner, such as legal or compliance, and brand and compliance rules live in the filesystem the agent reads before it drafts. Built for teams with a review chain. | | a LinkedIn agency | Imagine AI | | --- | --- | --- | | Core job | Runs your social channels on a retainer | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | Agency writers and designers | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | Usually several networks | Starts with LinkedIn | | Team setup | Company page and some executives | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | Revenue measurement | Reach, engagement and follower reports | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | Average about $2,100 a month (HeyOrca 2024); LinkedIn exec programs $2,000 to $6,500 | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Your time | Briefs, monthly calls and approvals | A few hours a month of review once live | | Best for | Brands that need many channels and production | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### How much does a LinkedIn or social media agency cost? HeyOrca's 2024 survey of 100+ agency and freelance social media managers found an average retainer of $2,107 a month for a three network scope. LinkedIn-specialist executive programs we checked publish $2,000 to $6,500 a month. ### Is Imagine AI an agency? No. Imagine AI is a GTM agent that starts with LinkedIn: software that drafts and schedules LinkedIn posts and graphics for your company page and team and maps them to your CRM, set up with white-glove onboarding, a shared Slack channel and an optional dedicated growth researcher. ### Can we use an agency and Imagine AI together? Yes. An agency can keep running X, Instagram, video and community while Imagine AI drafts LinkedIn for the company page, founders, executives and anyone else on the team. Sources: https://www.heyorca.com/blog/social-media-agency-pricing, https://underdog-ghostwriting.com/pricing, https://thecareerbuddy.com/talent/linkedin-ghostwriting # ChatGPT vs Imagine AI for LinkedIn Posts: A General Chatbot vs a Content Agent Source: https://useimagine.ai/compare/chatgpt-vs-imagine-ai Updated: 2026-10-20 ChatGPT and Claude can draft a good LinkedIn post for about $20 a month, but you supply the context every time, paste it in yourself and get no data on how it did. Imagine AI is a content agent built for LinkedIn: it has its own computer, browser and sandbox, reads your content filesystem and benchmark data, drafts posts and graphics in each person's voice, schedules them for the whole team and traces closed deals back to the content. Use a chatbot for occasional posts; use Imagine AI to run a team's content. ## Verdict: A chatbot writes a post. Imagine AI runs a content motion. ChatGPT or Claude is the right choice when one person writes now and then and is happy to prompt, edit and post by hand. Imagine AI fits teams that need the company page and several people posting consistently, aimed at their buyers, with pipeline reporting. Choose ChatGPT or Claude if: You post occasionally and only need help with wording. You are comfortable writing prompts and editing the result yourself. You want the lowest cost: ChatGPT Plus and Claude Pro are about $20 a month. Choose Imagine AI if: Several people and the company page need to post every week and nobody wants to prompt for them. You want posts that sound like each person, not like a chatbot. You want a graphic drafted with every post, on brand, from your brand kit. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. Context you paste versus context the agent keeps. A chatbot only knows what is in the conversation or project you set up. Imagine AI's agent reads a content filesystem before every draft, with your positioning, brand kit, decks, past posts and campaigns, shared by the whole team. No re-explaining your company every week. 2. Sounds like each person. Imagine AI learns each person's voice from their past posts and the material in your filesystem, so drafts need small edits, not rewrites. A general chatbot sounds like a chatbot unless you re-teach it every time. Voice is the product, not a prompt. 3. A LinkedIn harness, not a text box. Imagine AI's agent has its own computer, browser and sandbox, a direct connection to LinkedIn and a benchmark of 1,000+ B2B companies, so it can research, design the graphic, tag people and schedule the post on your team calendar. Neither OpenAI's nor Anthropic's pricing pages list native LinkedIn publishing or scheduling. Drafting versus publishing. 4. Chatbots win on price and flexibility. ChatGPT Plus is $20 a month and Claude Pro is $20 a month ($17 billed yearly), and both do far more than LinkedIn. For one person posting now and then, that is hard to beat. Pick a chatbot for occasional posts. 5. No measurement versus revenue. A chatbot stops at the draft. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch. You learn what worked. | | ChatGPT or Claude | Imagine AI | | --- | --- | --- | | Core job | General assistant that can draft a post | A GTM agent that starts with LinkedIn: posts and graphics for your company page and team, comments, connection requests and messages, all mapped to pipeline | | Who writes | You prompt; it drafts; you edit | An agent with its own computer, browser and sandbox researches and drafts each post and graphic in each person's voice; people review, approve or edit | | Networks | None natively; you paste into LinkedIn | Starts with LinkedIn | | Team setup | Business and Team plans share a workspace | One calendar for the company page and every founder, exec and employee; unlimited teammates; approvals per person or through one owner | | What the drafts are built from | What you paste in, plus general training data | A content filesystem with your positioning, brand kit, decks, past posts, campaigns and compliance rules, read before every draft | | Revenue measurement | None | Engagers matched against HubSpot or Salesforce, closed deals traced to their first content touch, a weekly ICP engager list for sales, data over API | | Pricing | About $20 a month per person (Plus, Pro); $20 to $25 per seat on business plans | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Your time | Prompting, editing and posting each post | A few hours a month of review once live | | Best for | Occasional posts by one person | High-growth and mid-market B2B companies that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### Can ChatGPT write LinkedIn posts? Yes, it can draft them if you give it context. You still have to supply your positioning and audience each time, edit the result, make the graphic and post it to LinkedIn yourself, and it does not see how your posts perform. ### How much do ChatGPT and Claude cost? Checked Oct 20, 2026: ChatGPT Plus is $20 a month and ChatGPT Business is $25 per user monthly or $20 billed yearly. Claude Pro is $20 a month or $17 billed yearly, and Claude Team standard seats are $25 per member monthly or $20 yearly. ### What does Imagine AI do that ChatGPT does not? It keeps your strategy and brand in a content filesystem, drafts posts and graphics in each person's voice with its own browser and sandbox, checks them against a benchmark of 1,000+ B2B companies, schedules approved posts for the whole team and maps engagers to HubSpot or Salesforce. Sources: https://openai.com/chatgpt/pricing, https://help.openai.com/en/articles/8542115-chatgpt-team-faq, https://claude.com/pricing, https://support.claude.com/en/articles/9266767-what-is-the-team-plan # MagicPost vs Imagine AI: Self-serve LinkedIn AI Writer vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/magicpost-vs-imagine-ai Updated: 2026-10-20 MagicPost is built only for LinkedIn, with AI post generation, AI visuals, multi-image posts, scheduling, engagement and lead detection. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick MagicPost if you want a self-serve LinkedIn AI writer; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: MagicPost is a self-serve LinkedIn AI writer. Imagine AI is a GTM agent for your whole team. MagicPost fits one person or a small team that wants AI drafting and visuals for LinkedIn only. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose MagicPost if: You want to write your own posts with AI help from $49 a month, with a free trial and no card. You want an idea generator and AI visuals you run yourself. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. A writer you operate versus an agent that runs the work. MagicPost gives one person or a team the tools to generate posts, visuals and multi-image posts and schedule them. Imagine AI's agent researches and drafts posts and graphics for the company page and every person you connect, and also comments, connects and messages, so the team only reviews and approves. You run MagicPost. Imagine AI runs the drafting and the engagement. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | MagicPost | Imagine AI | | --- | --- | --- | | What it is | A self-serve LinkedIn AI writer | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn | Starts with LinkedIn | | Category | Solo creator, AI; team and agency seats | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | $49 or $69 a month; $59 per seat | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | One person or a small team that wants AI drafting and visuals for LinkedIn only. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between MagicPost and Imagine AI? MagicPost is a self-serve LinkedIn AI writer. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does MagicPost cost compared with Imagine AI? MagicPost: $49 or $69 a month; $59 per seat, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can MagicPost and Imagine AI work together? Yes. A team can keep MagicPost for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://magicpost.in # ContentIn vs Imagine AI: Low-cost AI Ghostwriter vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/contentin-vs-imagine-ai Updated: 2026-10-20 ContentIn reads your LinkedIn profile and past posts, runs a 10 minute interview to fill its knowledge base, and drafts the coming week from your own material every Sunday. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick ContentIn if you want a low-cost AI ghostwriter; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: ContentIn is a low-cost AI ghostwriter. Imagine AI is a GTM agent for your whole team. ContentIn fits one person who wants a weekly batch of drafts from their own material at a low price. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose ContentIn if: You want a weekly batch of drafts from your own material for $31 to $48 a month. You want a Telegram bot for drafting on the go. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. One person's drafts versus a team's content motion. ContentIn interviews you once and drafts the coming week from your own material. Imagine AI's agent reads a content filesystem shared by the whole team and drafts posts and graphics for the company page and every person, coordinated on one calendar. Weekly drafts for you versus one motion for the company. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | ContentIn | Imagine AI | | --- | --- | --- | | What it is | A low-cost AI ghostwriter | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn | Starts with LinkedIn | | Category | Solo creator, AI ghostwriter | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | $31 or $48 a month | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | One person who wants a weekly batch of drafts from their own material at a low price. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between ContentIn and Imagine AI? ContentIn is a low-cost AI ghostwriter. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does ContentIn cost compared with Imagine AI? ContentIn: $31 or $48 a month, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can ContentIn and Imagine AI work together? Yes. A team can keep ContentIn for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://contentin.io # Scripe vs Imagine AI: AI LinkedIn Writer for European B2B Teams vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/scripe-vs-imagine-ai Updated: 2026-10-20 Scripe is an AI LinkedIn writing tool sold only to businesses, priced in euros, with a personal knowledge base, ideas drawn from about 15 million posts, scheduling and analytics. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick Scripe if you want an AI LinkedIn writer for European B2B teams; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: Scripe is an AI LinkedIn writer for European B2B teams. Imagine AI is a GTM agent for your whole team. Scripe fits a European B2B team that wants AI drafting with approvals and a shared calendar. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose Scripe if: You want euro pricing from €55 a month and a self-serve setup. You want ideas drawn from a library of about 15 million posts. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. Writing workspace versus GTM agent. Scripe gives a team a knowledge base, an idea library, a shared calendar and approvals, and on Advanced it can automate first likes and comments across your profiles. Imagine AI's agent drafts posts and graphics from your positioning and campaigns, comments, connects and messages aimed at your ICP, and maps engagers to your CRM. A workspace your team writes in versus an agent that does the work. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | Scripe | Imagine AI | | --- | --- | --- | | What it is | An AI LinkedIn writer for European B2B teams | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn | Starts with LinkedIn | | Category | Solo and team, AI, B2B only | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | €55, €79 or €119 a month yearly | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | A European B2B team that wants AI drafting with approvals and a shared calendar. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Scripe and Imagine AI? Scripe is an AI LinkedIn writer for European B2B teams. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does Scripe cost compared with Imagine AI? Scripe: €55, €79 or €119 a month yearly, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can Scripe and Imagine AI work together? Yes. A team can keep Scripe for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://scripe.io # Postiv vs Imagine AI: LinkedIn Editor with a Planning Agent vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/postiv-vs-imagine-ai Updated: 2026-10-20 Postiv pairs an editor for posts, multi-image posts, infographics and images with "Bob", a planning agent that drafts next week's plan. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick Postiv if you want a LinkedIn editor with a planning agent; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: Postiv is a LinkedIn editor with a planning agent. Imagine AI is a GTM agent for your whole team. Postiv fits a creator or small team that wants a planning agent plus a visual editor. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose Postiv if: You want a visual editor for infographics and images at $49.50 a month billed yearly. You also post to X from the same tool. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. A planning agent versus a GTM agent. Postiv's Bob drafts next week's plan and you build posts in its editor. Imagine AI's agent has its own computer, browser and sandbox: it researches, writes, designs the graphic and schedules the post, then engages with comments, connection requests and messages. Plans and an editor versus finished posts and outreach. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | Postiv | Imagine AI | | --- | --- | --- | | What it is | A LinkedIn editor with a planning agent | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn, X | Starts with LinkedIn | | Category | Solo creator, AI, planning agent; team | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | $49.50 a month yearly; Team $159 | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | A creator or small team that wants a planning agent plus a visual editor. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Postiv and Imagine AI? Postiv is a LinkedIn editor with a planning agent. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does Postiv cost compared with Imagine AI? Postiv: $49.50 a month yearly; Team $159, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can Postiv and Imagine AI work together? Yes. A team can keep Postiv for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://postiv.ai # Stanley vs Imagine AI: Chat-first Content Agent vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/stanley-vs-imagine-ai Updated: 2026-10-20 Stanley is an agent that drafts, schedules and reports back over iMessage, Telegram, WhatsApp or the web, learning your voice from your posts and voice notes. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick Stanley if you want a chat-first content agent; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: Stanley is a chat-first content agent. Imagine AI is a GTM agent for your whole team. Stanley fits a founder who wants a chat-first assistant across a few networks. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose Stanley if: You want to text your agent over iMessage, Telegram or WhatsApp. You post to Instagram and X as well as LinkedIn. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. Chat assistant versus team agent with CRM data. Stanley drafts, schedules and reports back over messaging apps for one person. Imagine AI's agent works for the company page and every person you connect from one calendar, and matches the people engaging against HubSpot or Salesforce. Your assistant versus your company's GTM agent. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | Stanley | Imagine AI | | --- | --- | --- | | What it is | A chat-first content agent | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn, Instagram, X | Starts with LinkedIn | | Category | Agent over iMessage and Telegram | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | On request | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | A founder who wants a chat-first assistant across a few networks. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Stanley and Imagine AI? Stanley is a chat-first content agent. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does Stanley cost compared with Imagine AI? Stanley: on request, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can Stanley and Imagine AI work together? Yes. A team can keep Stanley for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://getstanley.ai # Buffer vs Imagine AI: Multi-network Scheduler vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/buffer-vs-imagine-ai Updated: 2026-10-20 Buffer is a social scheduler priced per channel, where a channel is one social account, covering LinkedIn pages and profiles alongside Instagram, X, TikTok, Threads, Bluesky and more. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick Buffer if you want a multi-network scheduler; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: Buffer is a multi-network scheduler. Imagine AI is a GTM agent for your whole team. Buffer fits anyone posting the same calendar to many networks on a small budget. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose Buffer if: You post the same calendar to many networks, from free or $5 a channel. You mostly need scheduling, not drafting. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. A scheduler versus an agent that writes and engages. Buffer queues posts you write across LinkedIn, Instagram, X, TikTok, Threads and more. Imagine AI starts with LinkedIn: the agent researches and drafts the post and graphic, schedules it, and comments, connects and messages for you. Buffer publishes your posts. Imagine AI creates them and works the engagement. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | Buffer | Imagine AI | | --- | --- | --- | | What it is | A multi-network scheduler | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn, Instagram, X, TikTok, Threads, Bluesky | Starts with LinkedIn | | Category | Multi-network scheduler | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | Free; $5 or $10 per channel yearly | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | Anyone posting the same calendar to many networks on a small budget. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Buffer and Imagine AI? Buffer is a multi-network scheduler. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does Buffer cost compared with Imagine AI? Buffer: free; $5 or $10 per channel yearly, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can Buffer and Imagine AI work together? Yes. A team can keep Buffer for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://buffer.com/pricing # Hypefury vs Imagine AI: Multi-network Scheduler for Creators vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/hypefury-vs-imagine-ai Updated: 2026-10-20 Hypefury is a scheduler for Bluesky, Threads, LinkedIn, Instagram and TikTok (it no longer supports X), with multi-image posts, an engagement builder and analytics. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick Hypefury if you want a multi-network scheduler for creators; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: Hypefury is a multi-network scheduler for creators. Imagine AI is a GTM agent for your whole team. Hypefury fits a creator repurposing short posts across networks. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose Hypefury if: You repurpose short posts across Bluesky, Threads, Instagram and TikTok. You want a tool from $6 a month. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. Repurposing versus a LinkedIn GTM agent. Hypefury helps a creator repurpose and schedule content across networks. Imagine AI is built for B2B teams on LinkedIn: posts and graphics for the company page and every person, engagement aimed at your ICP, and engagers mapped to your CRM. Creator scheduling versus B2B pipeline. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | Hypefury | Imagine AI | | --- | --- | --- | | What it is | A multi-network scheduler for creators | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn, Bluesky, Threads, Instagram, TikTok | Starts with LinkedIn | | Category | Multi-network scheduler | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | From $6 a month for one channel | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | A creator repurposing short posts across networks. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Hypefury and Imagine AI? Hypefury is a multi-network scheduler for creators. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does Hypefury cost compared with Imagine AI? Hypefury: from $6 a month for one channel, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can Hypefury and Imagine AI work together? Yes. A team can keep Hypefury for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://hypefury.com # Hootsuite vs Imagine AI: Social Media Management Suite vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/hootsuite-vs-imagine-ai Updated: 2026-10-20 Hootsuite is a social media management suite priced per user, with publishing, inbox, listening, competitor benchmarking and reporting. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick Hootsuite if you want a social media management suite; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: Hootsuite is a social media management suite. Imagine AI is a GTM agent for your whole team. Hootsuite fits a social media team running many brand channels with an inbox and listening. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose Hootsuite if: Social media is a department that manages many brand channels, an inbox and listening. You need one suite for LinkedIn, Instagram, Facebook, X, TikTok and YouTube. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. A suite your social team runs versus an agent that does the work. Hootsuite gives a social team publishing, an inbox, listening and reporting across many networks, priced per user. Imagine AI's agent does the LinkedIn work itself: drafts posts and graphics for the company page and every person, engages with comments, connection requests and messages, and traces deals to content. Tools for a social team versus a GTM agent that does the work. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | Hootsuite | Imagine AI | | --- | --- | --- | | What it is | A social media management suite | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn, Instagram, Facebook, X, TikTok, YouTube | Starts with LinkedIn | | Category | Social media suite | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | From $99 per user a month, annual | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | A social media team running many brand channels with an inbox and listening. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Hootsuite and Imagine AI? Hootsuite is a social media management suite. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does Hootsuite cost compared with Imagine AI? Hootsuite: from $99 per user a month, annual, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can Hootsuite and Imagine AI work together? Yes. A team can keep Hootsuite for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://www.hootsuite.com/plans # Sprout Social vs Imagine AI: Social Media Management Suite vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/sprout-social-vs-imagine-ai Updated: 2026-10-20 Sprout Social is a social media management suite priced per seat, with publishing, engagement, listening, reporting and an employee advocacy add-on. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick Sprout Social if you want a social media management suite; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: Sprout Social is a social media management suite. Imagine AI is a GTM agent for your whole team. Sprout Social fits a brand or social team that needs one suite for every channel and an advocacy add-on. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose Sprout Social if: You need publishing, engagement and listening across every major network in one suite. You want an employee advocacy add-on inside that suite. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. A suite with an advocacy add-on versus an agent that writes for everyone. Sprout Social's employee advocacy add-on lets staff share approved posts. Imagine AI's agent writes original posts in each person's voice, with graphics, for the company page and everyone you connect, and engages for them. Sharing approved posts versus each person's own content. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | Sprout Social | Imagine AI | | --- | --- | --- | | What it is | A social media management suite | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn, Instagram, Facebook, X, TikTok, YouTube | Starts with LinkedIn | | Category | Social media suite | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | From $79 per seat a month, annual | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | A brand or social team that needs one suite for every channel and an advocacy add-on. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Sprout Social and Imagine AI? Sprout Social is a social media management suite. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does Sprout Social cost compared with Imagine AI? Sprout Social: from $79 per seat a month, annual, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can Sprout Social and Imagine AI work together? Yes. A team can keep Sprout Social for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://sproutsocial.com/pricing/ # Oktopost vs Imagine AI: B2B Social Platform with CRM Attribution vs a GTM Agent That Starts With LinkedIn Source: https://useimagine.ai/compare/oktopost-vs-imagine-ai Updated: 2026-10-20 Oktopost is a B2B social media platform that connects posts, employee shares and clicks to contacts in Salesforce, HubSpot or Marketo, with employee advocacy built in. Imagine AI is a GTM agent that starts with LinkedIn: it creates posts and graphics for your company page and team from your own strategy files, comments, sends connection requests and messages aimed at your ICP, and traces closed deals back to the content. Pick Oktopost if you want a B2B social platform with CRM attribution; pick Imagine AI when the company should be posting and you need to see pipeline. ## Verdict: Oktopost is a B2B social platform with CRM attribution. Imagine AI is a GTM agent for your whole team. Oktopost fits a B2B marketing ops team that wants social activity attributed inside Marketo or Salesforce. Imagine AI fits high-growth and mid-market B2B companies that want the company page, leaders and team posting and engaging on LinkedIn, tied to pipeline. Choose Oktopost if: You want social activity attributed inside Marketo alongside Salesforce or HubSpot. You run social across several networks with employee advocacy. Choose Imagine AI if: You want the company page, founders, executives and employees on one calendar, with unlimited teammates. You want drafts and graphics built from your own positioning, brand kit and campaigns. You want comments, connection requests and messages from the same agent, aimed at your ICP. You want engagers matched against HubSpot or Salesforce and closed deals traced to their first content touch. ## Differences 1. Attribution software versus an agent that also creates and engages. Oktopost connects posts, employee shares and clicks to contacts in Salesforce, HubSpot or Marketo, and your team still writes. Imagine AI's agent creates the LinkedIn posts and graphics, comments, connects and messages, and matches engagers against HubSpot or Salesforce. Measuring social versus doing it and measuring it. 2. Built from your strategy, with graphics. Imagine AI's agent reads a content filesystem before it drafts: positioning, brand kit, decks, past posts and campaigns. It can draft the graphic with each post from your brand kit, or use a photo you add. Drafts that need small edits, not rewrites. 3. Content and engagement from one agent. The same agent comments, sends connection requests and messages on LinkedIn, aimed at the engagers who match your ICP, and every week it hands sales a list of those engagers. One agent for content and outreach. 4. Pipeline, not just analytics. Imagine AI matches engagers against HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves. The data is available over an API. Measured in deals. 5. Set up with you. Every customer starts with white-glove onboarding from our San Francisco team, a shared Slack channel and the public benchmark of 1,000+ B2B companies inside the agent. A program built with you. | | Oktopost | Imagine AI | | --- | --- | --- | | What it is | A B2B social platform with CRM attribution | A GTM agent that starts with LinkedIn: content, engagement and pipeline | | Networks | LinkedIn, X, Facebook, Instagram | Starts with LinkedIn | | Category | B2B social suite, CRM attribution | GTM agent that starts with LinkedIn: content, engagement and pipeline | | Pricing | On request | Per LinkedIn profile, unlimited teammates; quoted on a demo call | | Best for | A B2B marketing ops team that wants social activity attributed inside Marketo or Salesforce. | High-growth and mid-market B2B teams that want the company page, leaders and team posting, tied to pipeline | ## FAQ ### What is the difference between Oktopost and Imagine AI? Oktopost is a B2B social platform with CRM attribution. Imagine AI is one GTM agent that creates LinkedIn posts and graphics for your company page and team, comments, sends connection requests and messages, and maps engagers to HubSpot or Salesforce. ### How much does Oktopost cost compared with Imagine AI? Oktopost: on request, checked Oct 19, 2026. Imagine AI is priced per LinkedIn profile with unlimited teammates and quoted on a demo call. ### Can Oktopost and Imagine AI work together? Yes. A team can keep Oktopost for what it does best while Imagine AI's agent handles LinkedIn content and engagement for the company page and team and reports the pipeline it touched. Sources: https://www.oktopost.com # Taplio alternatives Source: https://useimagine.ai/compare/taplio-alternatives Updated: 2026-10-29 The right Taplio alternative depends on what you need LinkedIn to do for you. If you want a cheaper way to write and schedule your own posts, I'd look at ContentIn, AuthoredUp or Buffer. If you're running employee advocacy with approvals and a shared calendar, Supergrow, Scripe and Ordinal are built for that. If you're a B2B team that wants posts for your leaders and company page, engagers matched to your ICP and deals pulled from HubSpot or Salesforce, that's why we built Imagine AI, and Taplio is still a good fit for one person or an agency that wants low-cost self-serve drafting, scheduling and engagement automation. ## What Taplio is good at Taplio is a self-serve LinkedIn growth tool from lempire. It covers scheduling, analytics, a library of 5M+ viral posts, AI drafting, engagement tools and lead outreach. Plans are Starter at $39 a month, Growth at $69 and Pro at $199, with about 25% off yearly and a 7 day trial of Pro features. ## AI writing tools for solo creators These tools cover the same ground as Taplio's AI drafting for one person, and each takes its own approach to voice, visuals or price. - Supergrow (https://www.supergrow.ai): Supergrow starts at the same $39 a month as Taplio's Starter but leans into employee advocacy: it learns each person's voice with Content DNA, turns short AI voice interviews into posts with PostCast, publishes through LinkedIn's official API, and offers Teams at $199 for 5 accounts. Price: $39 a month; Teams $199 for 5 accounts. Checked 2026-10-20. - Kleo (https://kleo.so): Kleo costs $99 a month or $999 a year and adds live group coaching and a community on top of strategy, writing in your voice, graphics and scheduling, which suits consultants, coaches and founders who want people coaching them where Taplio's coaching comes from its Ask Taplio AI. Price: $99 a month or $999 a year. Checked 2026-10-20. - MagicPost (https://magicpost.in): MagicPost is built only for LinkedIn and costs $49 or $69 a month or $59 per seat, with AI posts, AI visuals, multi-image posts, scheduling, engagement and lead detection, so it covers much of what one person or a small team would use on Taplio's Growth plan. Price: $49 or $69 a month; $59 per seat. Checked 2026-10-19. - ContentIn (https://contentin.io): ContentIn costs $31 or $48 a month and reads your profile and past posts, runs a 10 minute interview, then drafts your coming week every Sunday, which fits you if you'd rather draft from your own material than search Taplio's viral post library. Price: $31 or $48 a month. Checked 2026-10-19. - Scripe (https://scripe.io): Scripe is sold only to businesses and priced in euros at €55, €79 or €119 a month yearly, with a personal knowledge base, ideas drawn from about 15 million posts, scheduling and analytics for European B2B teams that want approvals and a shared calendar. Price: €55, €79 or €119 a month yearly. Checked 2026-10-19. - Postiv (https://postiv.ai): Postiv starts at $49.50 a month yearly, with Team at $159, and pairs a visual editor for posts, multi-image posts, infographics and images with Bob, a planning agent that drafts next week's plan, which gives you more room for visuals than Taplio's Ask Taplio weekly plans. Price: $49.50 a month yearly; Team $159. Checked 2026-10-19. ## Writing and analytics with no automation If Taplio's auto-replies, automated DMs and connection requests are more than you want, this option leaves the writing and the account in your hands. - AuthoredUp (https://authoredup.com): AuthoredUp costs $19.95 a month or $14.95 per profile and is a Chrome extension plus web app for writing, formatting, previewing, scheduling and analysing posts, and it promises "100% secure. No automation. No cookies." for people who write every post themselves. Price: $19.95 a month; $14.95 per profile. Checked 2026-10-20. ## Team planning and approvals Taplio offers a team workspace and multi-seat discounts, and these tools are built around approvals, shared calendars and posts for several people. - Ordinal (https://www.tryordinal.com): Ordinal costs $95, $265 or $695 a month and plans and schedules several people's posts across LinkedIn, X, Instagram, Threads, Facebook, TikTok and YouTube Shorts with approvals, a shared calendar and team engagements, while Taplio centers on LinkedIn. Price: $95, $265 or $695 a month. Checked 2026-10-20. ## Chat-first content agents Instead of Taplio's web app and Chrome extension, these agents work over chat, so you send an idea from your phone and get a draft back. - Typa (https://www.typa.ai): Typa has a free plan, Pro at $17 a month and Growth at $50 per brand, and lets you drop a voice note or link in over iMessage, Slack, a voice call or the web so it researches and drafts in a cloned brand voice across several networks. Price: Free; Pro $17 a month; Growth $50 per brand. Checked 2026-10-20. - Stanley (https://getstanley.ai): Stanley is priced on request and drafts, schedules and reports back over iMessage, Telegram, WhatsApp or the web, learning your voice from your posts and voice notes, so a founder can run their posting from chat apps they already use. Price: On request. Checked 2026-10-19. ## Multi-network schedulers and social suites Taplio covers LinkedIn, plus X through Tweet Hunter, and these tools schedule and manage many more networks from one place. - Buffer (https://buffer.com): Buffer has a free plan and charges $5 or $10 per channel yearly, covering LinkedIn pages and profiles alongside Instagram, X, TikTok, Threads, Bluesky and more, which suits a small-budget calendar across many networks more than Taplio's LinkedIn growth features do. Price: Free; $5 or $10 per channel yearly. Checked 2026-10-19. - Hypefury (https://hypefury.com): Hypefury starts at $6 a month for one channel and schedules to Bluesky, Threads, LinkedIn, Instagram and TikTok with multi-image posts, an engagement builder and analytics, though it no longer supports X, which Taplio covers through Tweet Hunter. Price: From $6 a month for one channel. Checked 2026-10-19. - Hootsuite (https://www.hootsuite.com): Hootsuite starts at $99 per user a month on annual billing and gives social teams publishing, an inbox, listening, competitor benchmarking and reporting across many brand channels, which is a different job from Taplio's personal LinkedIn growth. Price: From $99 per user a month, annual. Checked 2026-10-19. - Sprout Social (https://sproutsocial.com): Sprout Social starts at $79 per seat a month on annual billing with publishing, engagement, listening, reporting and an employee advocacy add-on, for a brand or social team that wants one suite for every channel. Price: From $79 per seat a month, annual. Checked 2026-10-19. - Oktopost (https://www.oktopost.com): Oktopost is priced on request and connects posts, employee shares and clicks to contacts in Salesforce, HubSpot or Marketo, with employee advocacy built in, for B2B marketing ops teams that want social activity attributed inside those systems. Price: On request. Checked 2026-10-19. ## Content agents and done-for-you programs for B2B teams These suit B2B teams that want LinkedIn handled across several people and tied to pipeline, where Taplio is built for someone running the tool themselves. - Virio (https://www.virio.ai): Virio is priced on request and generates a month of executive-led content tailored to your ICP, for B2B SaaS companies that want their LinkedIn program run largely for them, where Taplio expects you to run it yourself. Price: On request. Checked 2026-10-20. - Blazel (https://blazel.com): Blazel costs $500 per seat a month and aims to turn one marketing lead into a company-wide LinkedIn program, with executives, sales and marketing posting in their own voice, drafts in Slack or Teams, and a data layer that turns posts into pipeline. Price: $500 per seat a month. Checked 2026-10-20. - Imagine AI (https://useimagine.ai): Taplio is a tool you run yourself, and Imagine AI is a GTM agent with its own computer and browser that you talk to in our app or in Slack. It writes posts and on-brand graphics for your whole team and your company page in each person's voice, shows which engagers fit your ICP and what deal they're on in HubSpot or Salesforce, and gives sales a weekly warm list, and nothing posts or sends without a person's OK. Price: Per LinkedIn profile, unlimited teammates; quoted on a demo call. Checked 2026-10-20. ## How to pick - You want AI drafting for one LinkedIn profile at a lower price: ContentIn, MagicPost - You write every post yourself and want no automation on your account: AuthoredUp - You run employee advocacy with approvals and a shared calendar: Supergrow, Scripe, Ordinal - You want to text or talk ideas into posts from your phone: Typa, Stanley - You post one calendar across many networks: Buffer, Hypefury, Hootsuite, Sprout Social - You're a B2B team that wants your leaders on LinkedIn and tied to pipeline: Imagine AI, Blazel, Virio ## FAQ ### What's the best Taplio alternative for LinkedIn performance tracking? It depends on what you want to track. If you're one person watching your own impressions, engagement and followers, Taplio is a solid self-serve tool. If you're a B2B team and want each post judged against that person's own typical post, with every engager checked for ICP fit and matched to deals in HubSpot or Salesforce, that's what Imagine AI does. It also traces closed deals back to the post that first touched them and sends sales a weekly warm list. ### What is the best Taplio alternative for B2B teams? It depends on how much of the work you want off your plate. If you want posts for your leaders and company page in each person's voice, engagers matched to your ICP, deals pulled from HubSpot or Salesforce and a weekly warm list for sales, that's what we built Imagine AI for, and it comes with white glove setup and a shared Slack channel with our San Francisco team. If you'd rather run a self-serve platform, look at Blazel or Ordinal. Virio fits if you want the program run largely for you, and Oktopost fits if you want social activity attributed inside Marketo or Salesforce. ### Is there a cheaper alternative to Taplio? Taplio's Starter plan is $39 a month, or about 25% less if you pay yearly. AuthoredUp starts at $19.95 a month, ContentIn at $31, and Typa has a free plan and a Pro plan at $17. For scheduling only, Buffer has a free plan and paid channels at $5 or $10 yearly, and Hypefury starts at $6 a month for one channel. Supergrow starts at the same $39, so compare what you'd actually use on each plan before you switch. ### Which Taplio alternatives avoid automation on my LinkedIn account? AuthoredUp is the clearest pick here, since its pitch is "No automation. No cookies." and you write every post yourself. Supergrow publishes through LinkedIn's official API. With Imagine AI, the agent can send connection requests, comments and messages, but nothing posts or sends until a person on your team says OK. To be fair to Taplio, its MCP V2 also queues the comments and replies it drafts and holds them until you confirm. ### How should I measure LinkedIn growth when comparing Taplio alternatives? Compare each post with your own account's usual numbers. Comparing yourself with other people's viral posts mixes up what the post did with who posted it. For outside context, Taplio runs its own LinkedIn benchmark of 60k+ posts a month, and we publish a free public benchmark of 1,000+ B2B companies with a free MCP server you can plug into Claude or ChatGPT. If you're in B2B, also check whether the people engaging fit your ICP, because that's where LinkedIn growth turns into pipeline. ### Which Taplio alternative works for growing several LinkedIn profiles at once? Taplio has a team workspace and up to 30% off for multi-seat teams and agencies, so it can work if each person runs their own account. Supergrow Teams covers 5 accounts for $199 a month, Ordinal adds approvals and team engagements across networks, and Blazel is $500 per seat a month. Imagine AI writes for your whole team and your company page in each person's voice, and it's priced per LinkedIn profile with unlimited teammates, so we quote it on a demo call. # Imagine AI alternatives Source: https://useimagine.ai/compare/imagine-ai-alternatives Updated: 2026-10-29 The best Imagine AI alternative depends on the job you want done. If you want to write and schedule your own LinkedIn posts, self-serve tools like Taplio, Supergrow, AuthoredUp or Postiv are a good fit, and if you publish across many networks, Buffer, Hootsuite or Sprout Social cover that. Imagine AI today is a GTM agent that starts with LinkedIn: it makes posts and on-brand graphics for your whole team and company page in each person's voice, shows who engaged and what deal they're on in your CRM, and nothing posts or sends without your OK. ## What Imagine AI is good at Imagine AI today is a GTM agent that starts with LinkedIn: it makes posts and on-brand graphics for your whole team and company page in each person's voice, shows who engaged and what deal they're on in your CRM, and nothing posts or sends without your OK. ## Solo creator tools with AI writing For one person who wants help drafting. All of them are LinkedIn first. - Taplio (https://taplio.com): Solo creator, AI, engagement automation. Price: $39, $69 or $199 a month. Checked 2026-10-20. - Supergrow (https://www.supergrow.ai): Solo creator, AI; team plan. Price: $39 a month; Teams $199 for 5 accounts. Checked 2026-10-20. - Kleo (https://kleo.so): Solo creator, AI, coaching. Price: $99 a month or $999 a year. Checked 2026-10-20. - MagicPost (https://magicpost.in): Solo creator, AI; team and agency seats. Price: $49 or $69 a month; $59 per seat. Checked 2026-10-19. - ContentIn (https://contentin.io): Solo creator, AI ghostwriter. Price: $31 or $48 a month. Checked 2026-10-19. - Scripe (https://scripe.io): Solo and team, AI, B2B only. Price: €55, €79 or €119 a month yearly. Checked 2026-10-19. - Postiv (https://postiv.ai): Solo creator, AI, planning agent; team. Price: $49.50 a month yearly; Team $159. Checked 2026-10-19. ## Writing and analytics, no automation For people who write every post themselves and want better tools. - AuthoredUp (https://authoredup.com): Writing and analytics, no automation. Price: $19.95 a month; $14.95 per profile. Checked 2026-10-20. ## Team planning, approvals and scheduling For a marketing team that coordinates several people's accounts. - Ordinal (https://www.tryordinal.com): Team planning, approvals, team engagements. Price: $95, $265 or $695 a month. Checked 2026-10-20. ## Agents you talk to Assistants you text or call with ideas, which draft and schedule for you. - Typa (https://www.typa.ai): Agent over iMessage and Slack. Price: Free; Pro $17 a month; Growth $50 per brand. Checked 2026-10-20. - Stanley (https://getstanley.ai): Agent over iMessage and Telegram. Price: On request. Checked 2026-10-19. ## Multi-network schedulers and social suites If LinkedIn is one of several channels, or social media is a department. - Buffer (https://buffer.com): Multi-network scheduler. Price: Free; $5 or $10 per channel yearly. Checked 2026-10-19. - Hypefury (https://hypefury.com): Multi-network scheduler. Price: From $6 a month for one channel. Checked 2026-10-19. - Hootsuite (https://www.hootsuite.com): Social media suite. Price: From $99 per user a month, annual. Checked 2026-10-19. - Sprout Social (https://sproutsocial.com): Social media suite. Price: From $79 per seat a month, annual. Checked 2026-10-19. - Oktopost (https://www.oktopost.com): B2B social suite, CRM attribution. Price: On request. Checked 2026-10-19. ## Content agents and done-for-you programs for B2B teams The executives do not write; a system or a team drafts for them, and the output is judged on pipeline. - Virio (https://www.virio.ai): Content engine for B2B SaaS, executive-led. Price: On request. Checked 2026-10-20. - Blazel (https://blazel.com): Content + GTM platform for company-wide LinkedIn. Price: $500 per seat a month. Checked 2026-10-20. ## How to pick - Your founders, team and company page should all post, and you want engagers matched to your CRM: Imagine AI - You're one person writing and scheduling your own LinkedIn posts: Taplio, Supergrow, Kleo, MagicPost, ContentIn, AuthoredUp - You want a self-serve editor with a planning agent, multi-image posts and images for LinkedIn and X: Postiv - You'd like to talk through ideas and get drafts back from interviews or voice notes: Scripe, Blazel - You want posts drafted in your voice with less to operate yourself: Typa, Stanley, Virio - You publish to many social networks from one calendar: Buffer, Hootsuite, Sprout Social - Your marketing team approves company content for employees to share: Oktopost, Ordinal ## FAQ ### Does Imagine AI make graphics and multi-image posts? Yes. The agent makes on-brand graphics for your posts, including single images and multi-image posts, and it builds them from the brand kit in your file system, so they match your company's look across the whole team and the company page. ### Does Imagine AI have an MCP? Yes. Our free public benchmark of 1,000+ B2B companies has a free MCP server at useimagine.ai/mcp, so you can pull LinkedIn data on other companies into your own AI tools. The agent also takes any MCP you use as a skill, and your audience data is available over our API. ### How is Imagine AI priced? Imagine AI is priced per LinkedIn profile with unlimited teammates, and we quote it on a demo call. The pricing page has three ways to work with us (Founder-led, Team calendar and Multi-team programs), and every team starts on a demo call so we can set it up around your goals. ### Does Imagine AI comment, connect and message, and who approves it? Yes, the agent can send connection requests, comments and messages for you. A person on your team gives the OK on each one first, and the same goes for posts, so nothing goes out on LinkedIn until someone approves it. ### Is Imagine AI software or a service? Imagine AI is software, an agent with its own computer and browser that you talk to in our app or in Slack like a teammate. We set you up by hand (positioning, brand kit and file system), every customer gets a shared Slack channel with our San Francisco team, and you can add a dedicated growth researcher if you want one. ### What's the best alternative if I want to run it myself? If you're one person who wants to write and schedule your own posts, Taplio, Supergrow, Kleo and AuthoredUp are all built for that. If you'd like a self-serve editor with a planning agent that also makes multi-image posts and images for LinkedIn and X, Postiv is a good pick and has a 7 day trial. # The ICP List Post Loop: Connect, Feature, Comment and Message on LinkedIn Source: https://useimagine.ai/playbooks/icp-list-post-loop Updated: 2026-10-20 When it runs: You want conversations with 5 to 10 specific accounts. Pick 5 to 10 people in your ICP, connect with them, publish a positive list post that features each one with a number, comment on their posts that week, then message them with something useful about their own data and a short call ask. The Imagine AI agent runs every step on LinkedIn with your approval and matches everyone who engages to your CRM. Prompt: "Find 8 fintech founders in our ICP, connect, feature them in a list post, comment on their posts this week, then draft a note to each" ## Steps 1. Pick the list: 5 to 10 people your buyers already follow. The agent finds them and pulls company, role and one number for each, and can use your own tools, like Clay, through their API. 2. Connect first: Connection requests go out a few days before the post, with a one-line note about them, not you. 3. Post the list: A positive list post that features each person with one number and tags them. Only positive or neutral facts; never compare anyone down. 4. Comment where they are: That week, a specific comment on each person's latest post, so your name is familiar before you ask for anything. 5. Message with value: Once the post is live, a note with their own number, one question and a short call ask. No pitch. Everyone who engaged is matched to your CRM. ## Anatomy of the list post - Hook: the most surprising line in the list. - One line per person: name, tag, one number. - What the people on the list have in common. - Where the numbers come from, in the first comment. ## Mistakes to avoid - Naming people to call them out. - A pitch in the first message. - Messaging before the post is live. ## FAQ ### What is a LinkedIn list post? A post that features several named people or companies, each with one specific fact or number, and tags them. Done positively, the people on the list tend to engage and reshare, which puts you in front of their audience too. ### Is this cold outreach? It is warmer: you connect first, feature them positively, engage with their posts, and only then message with something useful about their own data. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # Turn LinkedIn Post Engagers Into Pipeline: Match, Reply, Connect, Message Source: https://useimagine.ai/playbooks/post-engagers-to-pipeline Updated: 2026-10-20 When it runs: Your post just got likes and comments from people you don't know. The day after a post, match everyone who reacted or commented to your ICP and your CRM. Reply to every comment, send a connection request to the buyers you are not connected to, and message the ones already in your network with a reference to what they engaged with. The Imagine AI agent does the matching and drafts every reply, request and message for you to approve. Prompt: "Match yesterday's post engagers to our ICP and HubSpot, reply to the comments, then draft connects and notes for the buyers" ## Steps 1. Match the engagers: Everyone who reacted or commented, matched against your ICP and your CRM. Open deals and existing customers are flagged with their owner. 2. Reply to every comment: A short, specific reply to each comment within the day, in your voice. Replies keep the post alive and are the easiest first touch. 3. Connect with buyers you don't know: A connection request with a note that mentions what they engaged with. No pitch in the note. 4. Message the ones in your network: For people you are already connected to, one question about how they handle the thing your post was about. 5. Hand off the warm ones: Anyone who replies is logged against their CRM record, and deals with an owner go to that rep instead of a new thread. ## Anatomy of the first message - Their name and what they engaged with. - One question about how they do it today. - Nothing else. The call ask waits for a reply. ## Mistakes to avoid - Messaging every liker, including your own team and other vendors. - Opening with a calendar link. - Stepping on a deal another rep owns. ## FAQ ### Can Imagine AI see who liked my LinkedIn post? Yes. The agent reads the reactions and comments on your posts, matches the people to your ICP and to HubSpot or Salesforce, and drafts the follow-up for you to approve. ### Should I message everyone who likes my post? No. Most likers are peers, vendors and your own network. Message the few who fit your ICP, reference what they engaged with, and ask one question. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # Comment Early on LinkedIn Posts Taking Off in Your Market Source: https://useimagine.ai/playbooks/viral-post-pile-in Updated: 2026-10-20 When it runs: Someone your buyers follow has a post taking off. Keep a list of the people your buyers follow. A few times a week, ask the agent which of their posts are picking up comments fast, and leave a specific comment from you and one or two teammates in the first hours, when comments get the most views. The Imagine AI agent finds the posts and drafts each comment in each person's voice for approval. Prompt: "Which posts from my list are taking off today? Draft a comment from me and the team on the best two" ## Steps 1. Build the list: 20 to 50 people your buyers follow: analysts, operators, founders in your space. The agent can suggest names from who your ICP engages with. 2. Check what's taking off: A few times a week, ask the agent which posts from the list are picking up comments fast. It reads the post and the top comments. 3. Draft one useful comment each: One specific comment per person, adding a number or an example. Different angles from each teammate, never the same line twice. 4. Approve and post early: Comments posted in the first hours sit near the top. You approve each one, then it goes out from the right profile. ## Anatomy of a comment that gets read - Agree or disagree in the first five words. - One number or example the post doesn't have. - No links and no mention of your product. ## Mistakes to avoid - "Great post!" and other comments that could go anywhere. - Three teammates making the same point. - Dropping a link to your own content. ## FAQ ### Can Imagine AI comment on LinkedIn for my team? Yes. The agent drafts comments in each teammate's voice and posts them from their profile once approved. ### Why comment early? Comments left in the first hours of a post that is taking off tend to sit near the top of the thread, where most readers see them. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # Congratulate New Hires in Your Buyer Titles on LinkedIn Source: https://useimagine.ai/playbooks/new-role-congrats Updated: 2026-10-20 When it runs: A buyer in a title you sell to starts a new job. Every week, ask the agent for people in your buyer titles who just started at accounts in your ICP. Send a short congratulations with a connection request, and a few weeks later a message with something useful for their first 90 days. New leaders change tools early, and they remember who reached out with something other than a pitch. Prompt: "Find VPs of Marketing who started at ICP accounts in the last 2 weeks and draft a congrats note to each" ## Steps 1. Find new starters: Once a week, people in your buyer titles who started at ICP accounts in the last two weeks, with what they have posted since. 2. Congratulate, briefly: A connection request with a one-line congratulations that mentions something specific about them or the move. 3. Wait a few weeks: The first weeks of a new job are noise. The follow-up goes out after about a month. 4. Follow up with something useful: A message with a benchmark for their company or a short list of what peers did first, and one question. The call ask comes after a reply. ## Anatomy of the congrats note - Congratulations, with their name. - One specific line about the move or a post of theirs. - No ask. It is a connection note. ## Mistakes to avoid - Pitching in week one. - The same note to everyone with the company name swapped. - Following up before they have settled in. ## FAQ ### Why reach out when someone starts a new job? New leaders review tools and agencies early. A short congratulations, then something useful a few weeks later, is remembered more than a pitch on day one. ### Can the agent find job changes on LinkedIn? Yes. The agent has its own computer and browser, so it checks your ICP accounts for people in your buyer titles who started recently and returns them with what they have posted since. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # When a Target Account Launches: Comment and Message on LinkedIn Source: https://useimagine.ai/playbooks/target-account-launch Updated: 2026-10-20 When it runs: A company on your target list ships a product or feature. A few times a week, ask the agent which of your target accounts posted a launch. Comment on the launch post with something specific about what shipped, then message the founder or product lead with one thought on how to get more out of it. Launch week is when they are most active on LinkedIn and most open to people who paid attention. Prompt: "Which of our target accounts launched something this week? Comment on each launch and draft a note to the founder" ## Steps 1. Find the launches: A few times a week, the agent checks posts from your target accounts and their founders for launches and big feature news. 2. Comment on the launch: A specific comment about what shipped, on the company or founder post, the same day. 3. Message the right person: A short note to the founder or product lead with one thought on getting more out of the launch, and a question. 4. Log it: The touch is logged on the account in your CRM so the owner sees it before their next call. ## Anatomy of the launch note - Congrats, naming what shipped. - One useful thought about the launch. - One question, easy to answer. ## Mistakes to avoid - A generic "congrats on the launch" with no detail. - Pitching your product as the missing piece. - Waiting a week, when the moment has passed. ## FAQ ### How do I reach out when a prospect launches? Comment on the launch post the same day with something specific, then send a short note with one useful thought and a question. Leave your pitch out of the first message. ### Can Imagine AI find launches at my target accounts? Yes. With its own computer and browser, the agent checks your target accounts' LinkedIn posts and sites for launches and returns each one with a comment and a note drafted. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # When a Target Account Raises: Comment, Connect and Follow Up on LinkedIn Source: https://useimagine.ai/playbooks/funding-round-congrats Updated: 2026-10-20 When it runs: A target account announces a round. When a target account announces a round, comment on the announcement with something specific, send the founders a connection request, and follow up about three weeks later with one useful thing for their next stage, like what peers at that size post or hire first. Right after a raise their inbox is full; a few weeks later they are planning. Prompt: "Which target accounts announced a round this month? Comment on each and draft connects to the founders" ## Steps 1. Find the rounds: Ask the agent each week which target accounts announced funding, with the announcement post and who posted it. 2. Comment on the announcement: A specific comment about what they built to get here, not just congratulations. 3. Connect with the founders: A connection request with a short, specific note. 4. Follow up in three weeks: A message with one useful thing for their next stage and one question, once the congratulations have died down. ## Anatomy of the three-week follow-up - A callback to the round, one line. - What peers at their new size did first. - One question about their plan. ## Mistakes to avoid - Pitching the day of the announcement. - Congratulating without having read the post. - Never following up after the connection is accepted. ## FAQ ### Should I message a founder after they raise? Comment and connect on the day, then wait. A useful message about three weeks later, when they are planning, gets more replies than one buried in launch-day congratulations. ### Can the agent track funding news at my accounts? Yes. The agent browses LinkedIn and the news on its own computer, finds funding announcements at your target accounts and returns each one with a comment and connection notes drafted. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # LinkedIn Conference Playbook: Connect Before, Meet During, Follow Up After Source: https://useimagine.ai/playbooks/conference-before-and-after Updated: 2026-10-20 When it runs: You're going to a conference your buyers attend. Two weeks out, find the people in your ICP posting about the event and connect with a short note. A week out, post that you're going and what you want to talk about, and ask the best fits for coffee. After the event, post a recap that tags the people you met and send each a follow-up the same week. The Imagine AI agent finds the people and drafts every post, note and message for approval. Prompt: "Find ICP people posting about SaaStr, connect before the event and draft a coffee ask for the best fits" ## Steps 1. Find who's going: Two weeks out, people in your ICP who posted about the event, with speakers and sponsors flagged. 2. Connect before: A connection request that mentions the event and their talk or post. 3. Post that you're going: A short post a week out: you'll be there, the one thing you want to talk about, and a question to the room. 4. Ask for coffee: A message to the best fits with a specific time slot. Specific times get more yeses than "let's meet". 5. Recap and follow up: After the event, a recap post that tags the people you met, then a follow-up to each within the week, logged in your CRM. ## Anatomy of the coffee ask - Both of you are at the event. - One specific time and place. - One reason you want to talk to them in particular. ## Mistakes to avoid - Messaging after the event starts, when calendars are full. - A recap post that only thanks your own team. - Following up two weeks later. ## FAQ ### How do I use LinkedIn before a conference? Find the people in your ICP posting about the event, connect two weeks out, post that you're going a week out, and send coffee asks with specific times. ### What should a conference recap post say? Two or three things you learned, tagging the people you learned them from. Posts that credit others get their engagement and reach their networks. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # Webinar Follow-Up on LinkedIn: Recap Post and Messages to Attendees Source: https://useimagine.ai/playbooks/webinar-follow-up Updated: 2026-10-20 When it runs: You just ran a webinar or a live session. The day of the webinar, post the three best takeaways with a clip or a slide, and tag the speakers. Then message each attendee in your ICP with the recording and one question about how the topic applies to them. The Imagine AI agent drafts the post from the transcript, matches attendees to your ICP and CRM, and drafts each message for approval. Prompt: "Turn today's webinar transcript into a recap post and draft a note with the recording to each ICP attendee" ## Steps 1. Recap the session: A post with the three best takeaways from the transcript, a clip or slide, and the speakers tagged. 2. Match attendees: Attendees matched to your ICP and CRM, with any question they asked during the session. 3. Message each one: The recording, a pointer to the part most relevant to them, and one question. 4. Log the replies: Replies logged on the contact in your CRM, so the owner can pick up the conversation. ## Anatomy of the follow-up note - Thanks for coming, with their name. - The recording and the minute that matters to them. - One question about their situation. ## Mistakes to avoid - One bulk message to every attendee. - A recap that summarizes everything instead of three points. - Waiting a week to follow up. ## FAQ ### How should I follow up after a webinar on LinkedIn? Post the three best takeaways the same day, then message attendees in your ICP with the recording, the part most relevant to them and one question. ### Can Imagine AI write a post from a webinar transcript? Yes. Upload the transcript or recording and the agent drafts the recap post in your voice, with a graphic, for review. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # Reach Lookalikes of Your Best Customers With a Customer Story on LinkedIn Source: https://useimagine.ai/playbooks/customer-lookalikes Updated: 2026-10-20 When it runs: A customer just got a result worth talking about. Post the customer's result with them, tagged and approved. Then find 20 companies that look like that customer, in size, industry and stage, connect with the buyer at each and, once connected, message them the story with one question about their own situation. Proof from a company like theirs does more than any pitch. The Imagine AI agent finds the lookalikes and drafts the post, notes and messages for approval. Prompt: "Find 20 companies like our best customer, connect with the head of growth at each, and draft a note with the case study" ## Steps 1. Post the story: The result in the customer's words, with them tagged and their approval. Their team usually engages, which widens the reach. 2. Find lookalikes: 20 companies that match the customer on size, stage and industry, and the right buyer at each. 3. Connect: A short connection note that mentions their segment, no pitch. 4. Message with the story: Once connected, the story and one question about how they do it today. ## Anatomy of the lookalike message - Thanks for connecting. - One result from a company like theirs, in numbers. - One question about how they do it today. ## Mistakes to avoid - Posting the story without the customer's sign-off. - Lookalikes that only match on industry. - Leading with the product instead of the result. ## FAQ ### How do I use a customer win on LinkedIn? Post the result with the customer tagged and approved, then share it directly with buyers at similar companies, with one question about their situation. ### Can Imagine AI find lookalike companies? Yes. Describe your best customer or name them, and the agent researches with its own browser to find companies that match on size, stage and industry, plus the right buyer at each. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # The Alumni Angle: Connect With Alumni at Your ICP Accounts on LinkedIn Source: https://useimagine.ai/playbooks/alumni-angle Updated: 2026-10-20 When it runs: People from your school or old company work at your ICP accounts. Find the people at your ICP accounts who went to your school or worked at your former company, and connect with a note about what you share. Once connected, ask one question about their work. A shared school or old team gets far more acceptances than a cold note. The Imagine AI agent finds the alumni and drafts each note for approval. Prompt: "Find UCSD alumni in marketing roles at our ICP accounts and draft a connection note to each" ## Steps 1. Find the alumni: People at your ICP accounts who share your school or a former employer, in the titles you want. 2. Connect on what you share: A note about the school or team you share, and something specific about their path. 3. Ask about their work: Once connected, one question about how their team does the thing you help with. 4. Offer something back: Alumni networks work both ways: an intro, a benchmark or a referral. ## Anatomy of the alumni note - What you share, in the first line. - One detail about their path. - No ask in the connection note. ## Mistakes to avoid - Using the school as a hook for an immediate pitch. - Notes that could go to anyone from the school. - Only taking, never offering. ## FAQ ### Does an alumni connection help on LinkedIn? A shared school or former employer gives you an honest reason to connect, and acceptance rates are usually much higher than for cold notes. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # Coffee in Your City: Meet ICP Buyers Nearby Through LinkedIn Source: https://useimagine.ai/playbooks/coffee-in-your-city Updated: 2026-10-20 When it runs: Buyers in your ICP live where you do. Find the people in your ICP who live in your city, connect with a short local note, and once connected ask for coffee with a specific time and a place near their office. In-person meetings with local buyers are rare enough that people say yes. The Imagine AI agent finds them and drafts each note and ask for approval. Prompt: "Find heads of marketing at ICP companies in San Francisco and draft a coffee ask near each one's office" ## Steps 1. Find local buyers: People in your ICP based in your city, with who you're already connected to flagged. 2. Connect locally: For people you don't know yet, a note that mentions being in the same city. 3. Ask with a time and place: A coffee ask with a specific time and a spot near their office. 4. Follow up after: A thank-you with whatever you promised, logged in your CRM. ## Anatomy of the coffee ask - You're nearby. - A specific time and place. - What's in it for them: a number, an intro, an idea. ## Mistakes to avoid - "Let me know if you ever want to grab coffee." - Asking 50 people the same week. - Turning the coffee into a demo. ## FAQ ### How do I ask a prospect for coffee on LinkedIn? Mention you're nearby, offer a specific time and a place near their office, and say what's in it for them. Specific asks get more yeses than open-ended ones. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # Sort Your LinkedIn Connection Requests: Find the Buyers, Start the Conversation Source: https://useimagine.ai/playbooks/inbound-invites-triage Updated: 2026-10-20 When it runs: Connection requests are piling up in your inbox. Once a week, have the agent sort your pending connection requests against your ICP and your CRM. Accept the buyers and send each a short hello that asks what made them reach out, and leave the recruiters and vendors for later. People who ask to connect with you are the warmest list you have. The Imagine AI agent sorts the invites and drafts each message for approval. Prompt: "Sort my pending connection requests against our ICP and HubSpot and draft a hello to the buyers" ## Steps 1. Sort the invites: Pending requests matched against your ICP and CRM: buyers, open deals, customers, and everyone else. 2. Accept the buyers: You accept the ones worth a conversation from the sorted list. 3. Say hello with a question: A short first message asking what made them reach out, or offering something specific to them. 4. Route the deals: Anyone on an open deal goes to the owner instead of getting a new thread from you. ## Anatomy of the hello - Thanks for connecting. - One line that shows you looked at who they are. - One question: what made them reach out? ## Mistakes to avoid - Auto-pitching everyone who connects. - Leaving buyers in pending for weeks. - Missing that the person is already on a deal. ## FAQ ### Should I message everyone who sends me a connection request? No. Sort them first. Message the few who fit your ICP with a question about why they reached out, and leave recruiters and vendors out of it. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set. # LinkedIn Launch Week Playbook: Team Posts, Then Message the Engagers Source: https://useimagine.ai/playbooks/launch-week-engagers Updated: 2026-10-20 When it runs: You're about to launch. Plan a post from each person on the team for launch week, each from their own angle: the founder's why, the engineer's how, the customer's result. After the posts are live, match the engagers across all of them to your ICP and CRM, and message the buyers with a question about their situation. The Imagine AI agent drafts every post in each person's voice, with the graphic, and the follow-ups for approval. Prompt: "Plan launch week posts for me, Marcus and Priya, then draft notes to ICP engagers once they're live" ## Steps 1. Pick an angle per person: The founder's why, the builder's how, the customer's result. Different angles reach different networks. 2. Draft every post: Each post in that person's voice with its graphic, spread across the week so they don't compete. 3. Approve and publish: Each person approves their own post before it goes out. 4. Message the engagers: After the posts are live, ICP engagers across every post matched to your CRM and messaged with a question. ## Anatomy of a launch post - The problem, from this person's seat. - What shipped, in one line. - One image or a short multi-image post that shows it. - A question for the reader, not a link in the post. ## Mistakes to avoid - Everyone resharing the company post with "so proud". - All posts on the same day. - No follow-up with the people who engaged. ## FAQ ### Who should post during a LinkedIn launch? Everyone with their own angle: the founder on why, the builder on how, a customer on the result. Team posts reach networks the company page doesn't. ### Can Imagine AI write posts for my whole team? Yes. The agent drafts posts in each person's own voice, with graphics, and each person approves their own. ### Does anything go out without me? No. The agent drafts every comment, connection note and message and shows them to you first. You approve, edit or skip each one, and it stays under the daily LinkedIn limits you set.