The first marketing hire at an AI startup walks into a blank page. No product, often just a model. No positioning, no website, no use cases, no playbook to inherit. The brief is to figure all of it out, and you cannot market a model the way you market a product because there is no UI, no onboarding, and no obvious user journey.
In an anonymized engagement at a frontier speech-to-speech AI lab, the work was exactly this: build positioning from scratch, design the website and all foundational assets, and invent the use cases through research. The result was 24 ICP discovery interviews, two design partners signed pre-launch, and a successful launch.
How to build GTM from zero for AI
- Interviews before copy - 24 ICP interviews before writing a single line of positioning. Every use case comes from a real conversation, not a brainstorm.
- Invent the use cases - find the gap between what the model can do and what a specific person is already trying and failing to do. One discovered use case was real-time voice translation with AI abuse detection for a gaming community; the abuse-detection angle came from user research, not a brief.
- Build the assets yourself - website, positioning, messaging. A first hire who can build does not wait on anyone.
- Manage the motion to launch - sign design partners, validate, and ship.
Why frontier AI GTM is different
Marketing a model before it becomes a product is a positioning problem, not a channel problem. There is no precedent to copy and no existing demand to capture. The entire job is finding where the technology meets a real, unmet need, and that only comes from talking to people. A 350+ per month abuse-report problem dropping to under 20 after a detection rollout was not in any brief; it surfaced in interviews.
When to make this hire
Make this hire, or bring in a growth operator for a focused engagement, when you have a model but not a product, story, or motion. This is GTM from zero, the hardest and highest-leverage version of growth work.
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