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Follow up a webinar on LinkedIn the same day

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.

Last updated
Oct 20, 2026
Written by
Sky Yang, Co-founder and CEO
How we wrote this
Written from how the Imagine AI agent runs this play on LinkedIn, with approval.
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When it runs

You just ran a webinar or a live session.

One prompt. The agent runs the play.

The agent has its own computer and browser, so it finds the people and the news itself. It drafts every comment, connection note and message, and you approve what goes out. Use it when:

  • You run webinars, live sessions or podcasts.
  • Recordings go out as one bulk email nobody opens.
  • Sales can't tell which attendees were serious.
Webinar follow-up
Fig. 01: Webinar follow-up, run by the agent. You approve before anything goes out.

The skills behind this play.

The agent has its own computer and browser, so it does the legwork itself. Every skill is on for every play; these are the ones this play leans on.

[01]Used in this play

Writes in each person's voice

Drafts for the company page, founders, executives and employees from each person's best posts. Imagine AI started as the operating system for ghostwriting teams, so sounding like you is the core of the product.

[02]Used in this play

Designs the graphics

Multi-image posts, infographics and visuals from your brand kit, made in its own sandbox, with the right people and companies tagged.

[03]Used in this play

Engages for you

Comments, connection requests and messages on LinkedIn, aimed at the people your posts pull in who match your ICP.

[04]Used in this play

Turns what you have into posts

Events, podcast episodes, videos, decks and call notes become a week of posts across the team.

[05]Used in this play

Finds the buyers in your audience

Matches everyone who engages to your ICP and hands sales a worked list every week.

[06]Used in this play

Maps content to revenue

Connects to HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves.

[07]On

Has its own computer and browser

It does the legwork itself: finds the people, checks job changes, launches and funding news, reads the sources and fact-checks claims before anything ships.

[08]On

Runs one calendar for the team

Plan launches, sequence posts, schedule comments and edit together. Approvals sit with each person or route through one owner.

[09]On

Works from your content filesystem

Positioning, brand kit, decks, campaigns and compliance rules in one place it reads before every draft, remembered across threads.

[10]On

Knows what works

Reads the public benchmark of 1,000+ B2B companies and tracks your competitors, so post types and formats follow your industry's data.

[11]On

Plugs into your stack

Engager data over API and webhooks, and the benchmark over MCP for your own agents.

What the data says

Event beats the author's typical post in 5 of 13 industries, median 0.98x.

  • Healthcare Tech23.5% of posts1.14x
  • Tax & Accounting22.5% of posts1.13x
  • Security & Compliance24.4% of posts1.07x
  • Venture Capital20.9% of posts1.07x
  • Data & Analytics30.2% of posts1.02x
  • Fintech20.7% of posts0.99x
  • Dev Tools & Infrastructure19.9% of posts0.98x
  • Sales & Marketing Tech17.1% of posts0.98x
  • Other B2B SaaS15.8% of posts0.98x
  • HR & Payroll21.5% of posts0.97x
  • Voice & Media AI19.7% of posts0.95x
  • AI Infrastructure19.4% of posts0.93x
  • Customer Support AI19.7% of posts0.92x
Fig. 02: Event by industry, dashed line at 1x. Source: Imagine AI Benchmark (benchmark.useimagine.ai), public aggregates, data through Oct 20, 2026. Lift = a post type's reactions as a multiple of each author's own typical post (geometric mean), so big accounts do not skew it. CC BY 4.0.

Step by step

The playbook lives as a file the agent reads. Edit it once and every run follows it.

What you need
  • The transcript or recording.
  • The attendee list.
  • Your ICP and CRM, to match attendees.
Files/Imagine AISend to agent

webinar-follow-up.md

Save

Step 1 · Recap the session

  • A post with the three best takeaways from the transcript, a clip or slide, and the speakers tagged.

Step 2 · Match attendees

  • Attendees matched to your ICP and CRM, with any question they asked during the session.

Step 3 · Message each one

  • The recording, a pointer to the part most relevant to them, and one question.

Step 4 · Log the replies

  • Replies logged on the contact in your CRM, so the owner can pick up the conversation.

Fig. 02: The playbook as a file in your workspace.

Anatomy of the follow-up note

The outline, what to avoid and how to measure it, in the file the agent drafts from.

Files/Imagine AISend to agent

webinar-note.md

Save

Outline

  • 1Thanks for coming, with their name.
  • 2The recording and the minute that matters to them.
  • 3One question about their situation.

Example from the run above

  • 3 things from today's session with @Sarah Chen: 1. Founders' posts beat the company page by 1.7x. 2. ...
  • Thanks for joining today, Marcus! Recording's here. You asked about attribution, is that something you track now?
  • Hey Priya, here's the recording. The part on posting cadence starts at 14:20, figured that's the part for you.

Avoid

  • One bulk message to every attendee.
  • A recap that summarizes everything instead of three points.
  • Waiting a week to follow up.

Measure

  • Replies from ICP attendees.
  • Engagement on the recap post.
  • Attendees moved to an open deal.

Fig. 03: The outline, part by part.

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