ChatGPT, Claude, Gemini and Perplexity now decide who gets recommended. Scan your store live, see your AI Visibility Score and who's winning your answers — then let Boo fix it.
The shift isn't coming — it's measured. Here's what the AI answer layer is already doing to commerce.
See → Diagnose → Fix → Prove — one automatic loop. Here's the whole thing as a short film.
Boo puts your category's buying questions to every major engine — and reads back who each one recommends, live.
You land at 24/100. The AIs are naming these rivals in your answers instead.
AI-legible copy, structured data, buyer FAQ and an honest comparison page. Applied one by one.
Re-scan on a schedule and watch it move. From ghost to recommended, measured every time.

Ask every major AI the real buyer questions and record who gets recommended.
An honest score plus the exact rivals winning your answers.

Copy, schema, FAQ and comparison pages — paste-ready, +47 points.

Re-scan on a schedule and watch it climb. The movement is the proof.
Measurement is the easy half. The score only moves when someone actually rewrites the pages.
You get a number. Then you're on your own.
Boo closes the loop — the fixes ship themselves.
Every plan runs the full See → Diagnose → Fix → Prove loop.
When a shopper asks ChatGPT, Claude, Gemini or Perplexity what to buy, the answer names only a handful of brands. AI visibility is how likely yours is to be one of them.
Generative engine optimization (GEO) — often called AI SEO — is the work of earning that mention. Traditional SEO competes for a link in a list of ten; GEO gets you named inside the answer itself. The models decide that from how clearly you describe what you sell, how you compare to rivals, and how current your information is.
Say what you sell, who it's for and what makes it different — in language a model can quote without guessing.
FAQ and honest comparison pages that match what people actually ask AI make you the source it cites.
Valid Organization, Product and FAQ schema help engines read your pages as facts rather than prose.
Models favour recently updated pages. Regular refreshes are why AI visibility moves — and why it needs monitoring.
Yes. When you hit Scan we query ChatGPT, Claude, Gemini and Perplexity live with the buyer questions in your category and score how often they name you. The homepage runs a fast one-question scan; paid plans run the deeper multi-question version.
No. SEO ranks you in a list of links. GEO gets you named inside the AI's answer — a different mechanism that weights clear entity descriptions, comparison content, structured data and freshness. That's what Boo fixes.
Paste-ready files: AI-legible copy, buyer FAQ pages, an honest comparison page against the rival beating you, and valid FAQ/Organization structured data.
No honest tool can — the engines are third parties. We guarantee real measurement and best-practice fixes; the score, tracked over time, tells the truth either way.
AI visibility is how often — and how prominently — AI assistants like ChatGPT, Claude, Gemini and Perplexity name your brand when people ask them what to buy. LLMBOO measures it as a score out of 100 so you can track it over time.
Give the model clear, quotable information: plain-language descriptions of what you sell, FAQ and comparison pages that answer real buyer questions, valid structured data, and recent updates. That's generative engine optimization (GEO) — exactly the work Boo does after a scan.
The terms are used interchangeably. Both describe optimizing so AI answer engines recommend you, as opposed to classic SEO, which optimizes for a ranked list of links. The tactics overlap, but GEO weights entity clarity, comparison content and freshness more heavily.