Content engineering: The new B2B category
You spent two years finding product-market fit.
You talked to hundreds of users. You iterated relentlessly. You optimized every feature until people couldn't live without your product.
Then you get on LinkedIn to tell people about it.
And... crickets.
12 likes. Half from your co-founders. Zero pipeline.
So you try again. Same result. You hire a ghostwriter. They sound nothing like you. You use ChatGPT. It's worse—obvious bot garbage that makes you cringe.
Eventually, you just stop posting.
Here's the problem: You're treating content like a checkbox instead of a product.
What If Content Worked Like Product?
Imagine if you built your product the way most founders "do content."
You'd ship a feature. Get no usage. Then ship the exact same feature again next week. No iteration. No measurement. No improvement.
You'd never do that with your product.
So why do it with your content?
Content Market Fit
We call it content market fit.
It's when your content consistently generates qualified sales conversations. Not likes. Not engagement. Pipeline.
One of our clients generated 431 qualified inbounds in a single month from content.
Another closed a $5M deal from a single post.
Another generated $53K in inbound revenue in 1.5 weeks.
That's not luck. That's content market fit.
And it requires the same discipline you used to find product-market fit.
The Gap in the Market
Right now, B2B companies have three options for content:
Option 1: Do it yourself — You don't have time. Your posts are inconsistent. You sound like everyone else.
Option 2: Hire a ghostwriter — They don't understand your product. They can't capture your voice. They're expensive and slow.
Option 3: Use AI tools — Generic output. Obviously robotic. Actually damages your brand.
None of these work.
That's why we built a fourth option: Content Engineering.
How Content Engineering Works
Week 1: Deep Research
We don't start with prompts. We start with research.
Every article you've written. Every podcast. Every sales call transcript. Every investor pitch. Your competitors' content. Your customers' pain points.
We build what we call your memory layer: a reusable model of your experience, opinions, stories, vocabulary, and Brand DNA.
This is the context that makes everything else work.
Week 2+: Forward Deployed Content Engineers
Here's where we're different.
We don't give you a tool and wish you luck. We forward deploy content engineers who work embedded with your team.
Every week:
- Ship 5 pieces of content
- Measure what converts (not likes—pipeline)
- Iterate based on data
- Optimize until you hit content market fit
Same process you used to find PMF.
Who's Using This
We're working with 30+ B2B companies right now:
- 14 YC companies (mostly W24, S25, F25 batches)
- 1 D2C company doing $100M ARR
- Multiple Series A and B startups
- A global franchise • VCs building thought leadership
These are companies that already understand growth. They found product-market fit. Now they're finding content market fit.
Why Now
Every B2B buyer researches founders on LinkedIn before taking a call.
Your content is your first impression. Your credibility. Your moat.
But generic AI content is flooding the internet. Everyone can tell when you're using ChatGPT. And it's hurting your brand.
You need content that sounds exactly like you. Content that demonstrates deep expertise. Content that generates pipeline.
That requires engineering.
The Cost of Waiting
Every week you're not at content market fit, you're paying a tax:
- Deals you should have closed (but the prospect went with the founder who's "everywhere on LinkedIn")
- Inbound leads that went to competitors
- Investor conversations that never happened
- Talent that joined other companies
Your competitors are figuring this out right now. They're showing up in your prospects' feeds every day.
Where to Start
What a content engineering engagement includes:
- A reusable memory layer built from your existing knowledge and Brand DNA
- Content shipped weekly, measured against your own baseline
- Direct access to your dedicated content engineer
- Iteration calls until you hit content market fit
- Access to the Imagine AI platform - CRM integration, engager analytics, and the benchmark
This works if you're B2B, doing sales-led growth, and ready to treat content like a product.
If that's you: book a demo.
The Bottom Line
You don't build a product by posting the same feature every week and hoping it works.
You iterate. You measure. You optimize.
Content should work the same way.
That's content engineering.