A growing share of buying research now starts inside a chat window, not a search box. Someone deciding between vendors asks ChatGPT "what's the best AI visibility tool for a small business" and gets three names back — with a short opinion attached to each. If your brand isn't one of the three, you don't get a chance to make your case. There's no page two.
Why this is different from SEO
Traditional SEO optimizes for a ranked list of links a human then clicks through and evaluates themselves. Generative engines collapse that evaluation into the answer itself: the model has already decided who's credible, who's a good fit, and in what order to mention them. That decision is shaped by training data, retrieval sources, and the phrasing of the question — not by your meta description.
This is the discipline now commonly called GEO — Generative Engine Optimization. It covers three related jobs:
- Monitoring — knowing whether, where, and how favorably you're mentioned across the prompts your buyers actually type.
- Benchmarking — seeing how you stack up against the two or three competitors who keep showing up instead of you.
- Fixing — publishing the kind of clear, structured, citable content that gives these models a reason to mention you accurately.
What to actually track
A useful AI visibility program doesn't need hundreds of prompts. Twenty to fifty questions that mirror real buying intent in your category — the way Tryaxen's own scoring works — is enough to see a pattern: a pass rate (are you mentioned at all), a position score (are you mentioned early or as an afterthought), and a context score (recommended positively, neutral, or actively steered away from).
Run that weekly across ChatGPT, Gemini and Claude, and you get something SEO dashboards never gave you: a direct read on how the AI-era front door to your category is describing you, today, in your own words.