Archive Note
Are You Even in the Model?
This note asked a blunt question for companies entering an AI-mediated market: when an assistant makes a recommendation, are you part of the answer?
The Invisible Funnel
The note began from a practical observation: buyers increasingly ask AI systems for recommendations before they search the web in the old way. That makes model visibility a real distribution question.
If a company is absent from the public material models learn from or retrieve, it may not be considered even when it is relevant. The market can narrow before the buyer ever reaches a website.
The original example was intentionally concrete: asking ChatGPT what tool to use, receiving a recommendation, and acting on it without doing a traditional search. The recommendation felt like a product decision, but the funnel had happened inside the assistant.
The note then asked why some tools appeared and others did not. The answer was not simply feature quality. It was public presence: examples, tutorials, integrations, workflows, and repeated association in the places models could learn from.
The Test
The suggested exercise was simple: ask major AI systems which tools they recommend for a category, persona, or workflow. If the company does not appear, the issue may be prompt surface area, public documentation, ecosystem association, or semantic clarity.
The concept was early, but it pointed toward a larger question: how does a company become legible to machine-mediated discovery?
The note treated absence from model answers as a diagnostic signal. A company might have a prompt surface problem: not enough public material, not enough category clarity, or not enough association with the workflows buyers ask about.
That made visibility less like old search ranking and more like semantic availability. The company had to be present in the model's frame of reference before it could be recommended.