Operator / AI Startups
Every AI startup claims to be AI-powered, agentic, and intelligent, which means none of those words position anything. If a buyer cannot tell in ten seconds why you and not the five other tools that pitched them the same week, you do not have a positioning problem you can fix with ads. I find the wedge that makes the choice obvious.
The AI label is now table stakes, so it carries zero differentiation. Worse, the technology moves fast enough that positioning anchored on a model or a feature is obsolete in a quarter. And in many cases the category itself is new, so buyers have no existing mental shelf to put you on. Generic buzzword positioning is the default failure mode, and it leaves growth marketing with nothing distinct to amplify.
Durable AI positioning is anchored on the buyer problem and the unique wedge you solve it with, not on the technology. It names a category buyers can hold in their head and explains, in plain language, why you are the obvious choice for a specific situation. That clarity is what makes every downstream marketing dollar work harder.
The specific buyer, problem, and moment where you are unmistakably the right choice, not a marginally better option.
Language buyers, analysts, and AI models adopt to describe the space, with you as the reference point.
One coherent story from homepage to sales deck to ad, so every surface reinforces the same wedge.
Position against the real alternatives, including doing nothing, so the choice is obvious to a buyer comparing five tools.
I talk to your best customers and lost deals to find the situation where you win and why. Positioning starts with evidence, not a workshop whiteboard.
I define the wedge and the category language, then test it against the real alternatives a buyer weighs, including the status quo.
I write the core narrative and propagate it across site, deck, and content, then feed it into the content and demand engine. See content strategy.
I led growth at cnvrg.io, an MLOps platform, ahead of its acquisition by Intel announced in November 2020 (TechCrunch). MLOps was an emerging category that needed defining, so positioning an AI product in a market that barely had a vocabulary is exactly the problem I have solved before. I also led acquisition at Elementor from roughly $200K to over $20M ARR as it passed five million users, where sharp positioning was the difference between a feature and a movement. Positioning is not a deck I outsource; it is the lever I pull first.
| Good fit | Not a fit |
|---|---|
| AI startup blending into a sea of AI claims | Already have crisp, validated positioning |
| Growth stalls because the message is generic | Want a tagline, not a strategy |
| Founder ready to take a sharp position | Committee that waters every claim down |
| New or shifting category | Commodity product with no real wedge |
Positioning runs as a focused advisory sprint 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.
Positioning plus the full growth motion. See fractional CMO for AI startups.
The AI label is now table stakes, the technology shifts fast, and the category is often new. Positioning has to anchor on the buyer problem and your wedge, not on the technology, or it is obsolete in a quarter.
I talk to your best customers and lost deals to find the situation where you clearly win and why, then build positioning on that evidence rather than a workshop guess.
No. A tagline is the visible tip. The work is the wedge, the category language, and the messaging spine that runs through every surface from homepage to sales deck.
Positioning is the input to everything downstream. Once it is sharp, content and demand have something distinct to amplify. See content strategy.
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.
The core wedge and narrative usually come together within a few weeks of customer and competitor research. Rollout across surfaces follows from there.
Yes. I led growth at cnvrg.io in the emerging MLOps category ahead of its Intel acquisition, which is positioning an AI product in a market that barely had a vocabulary.
Yes, on an operator engagement. See how to market an AI startup.
Book a 15-min call. I will tell you whether your positioning is the real growth bottleneck and where the wedge likely sits.