Operator / AI Startups
When your category does not exist yet, content is not a blog calendar. It is how you teach the market the problem you solve, claim the language before a competitor does, and get cited by the AI models buyers now ask instead of Google. I build content that defines the category and compounds in both search and AI search.
AI startups usually sell something buyers cannot yet name. Nobody searches for your solution because they do not know it exists, so demand-capture content has nothing to capture. The instinct is to publish feature posts and product updates, which speak to people already in your funnel and reach nobody outside it. The market stays uneducated and a better-funded competitor names the category first.
The fix is content that does the teaching: framing the problem, naming the category, and building the reference material that buyers, analysts, and now AI models reach for when they try to understand the space. This is education-led content with a search and AI-search moat baked in, not a content mill.
Define the problem, name the category, and build the language everyone in the space ends up borrowing. Tied to positioning.
The reference pages and explainers buyers cite when they describe the problem to their own teams and boards.
Content structured to get quoted by ChatGPT, Claude, and Perplexity, where AI-first buyers now research. See GEO.
Early SEO architecture so the category terms you create are owned by you the moment search volume arrives. See SEO for SaaS.
Your buyers increasingly start research by asking ChatGPT, Claude, or Perplexity rather than typing into Google. Those models answer by synthesizing and citing sources, which means the new game is being the source the model quotes when someone asks about your category. That requires content built for extraction: clear definitions, structured claims, and authority signals the model can lift cleanly. I build exactly that, and I run the same play on my own site. See LLM citation strategy and GEO vs SEO.
I led growth at cnvrg.io, an MLOps platform, ahead of its acquisition by Intel announced in November 2020 (TechCrunch). MLOps was a category that barely had a name when I was doing growth there, so educating a market about an unfamiliar AI problem is work I have done in production. I led acquisition at Elementor from roughly $200K to over $20M ARR as it passed five million users, and I built a Claude Code skill for SEO and GEO that I run on live sites. Content and AI search are not theory for me.
| Good fit | Not a fit |
|---|---|
| AI startup creating or redefining a category | Established category with clear search demand |
| Buyers research via ChatGPT and Perplexity | Want a freelance writer to fill a calendar |
| Founder willing to take a position | Prefer safe, generic content nobody cites |
| Long sales cycle that rewards education | Pure transactional ecommerce |
Content strategy runs as a focused retainer or inside a broader operator role.
2-4 week audit of your growth stack plus a 90-day roadmap. Fixed scope, converts to a retainer.
Hands on content plus the full growth picture. See fractional CMO for AI startups.
A writer fills a calendar. I build the category narrative, the search and AI-search architecture, and the reference content that defines the space. The writing is the last step, not the strategy.
GEO is optimizing to be cited by AI models like ChatGPT and Perplexity. Since AI-first buyers research through those models, being the cited source for your category is a direct demand channel. See GEO.
With education-led content that frames the problem and names the category, so you own the language and the search terms the moment volume appears.
I build the strategy and architecture and can produce or direct the content depending on engagement scope. On an operator engagement I run the full content motion.
A fixed-scope diagnostic sprint runs $6,000 to $8,000. Infrastructure builds start at $5,000 per month. A full embedded operator engagement runs $8,000 to $18,000 per month.
Closely. Content is how positioning reaches the market. See positioning for AI startups.
Category and AI-search content is a compounding asset, not a quick win. The narrative and citability foundation pay back over quarters, which is why starting early before a competitor names the category matters.
Yes. The same education-led approach applies to B2B SaaS content. See content strategy for B2B SaaS.
Book a 15-min call. I will sketch the category narrative and the content moves that get you cited where your buyers now research.