An AI-search visibility operating system
Poor AI visibilityBad tracking
- Issue detected
Nobody could say, with numbers, how AI assistants describe the brand — or whether a content change moved anything.
- Verification
AI engines sampled through official APIs; every rate reported with its sample size and a Wilson interval; brand-truth facts checked against what the AI actually claims.
- Root cause
AI visibility was judged by anecdote — one prompt, one day — with no sample, no baseline and no attribution back to traffic.
- Fix
A closed loop — discover, measure, diagnose, prioritise, fix, validate, learn, attribute — with opportunities turned into briefs and experiments, GA4 AI referrals attributed, weekly runs on a durable scheduler and the client report archived.
- Measured Delivered
13 MCP tools · 2 approved opportunities executed on the pilot