AI Search · Measurement
LLM visibility, measured.
You cannot improve what you cannot see. LLM visibility is how often, and how prominently, AI engines like ChatGPT, Gemini, Claude, and Google AI Overviews mention and cite your clinic. Here is what to track and how to read it.
01 · Presence
Are you in the answer at all?
The first metric is simple: when a patient asks an assistant about your treatments or your area, does it name your clinic? We check presence across each engine for the questions that actually drive bookings.
Structured data for treatments, providers, location, and reviews.
Entity markup that ties your clinic to the concerns you treat.
Fast, semantic markup that models can parse without friction.
02 · Prominence
Share of the answer, not just a mention.
Beyond presence, it matters how prominently and accurately you are cited, and against which competitors. A passing mention and a lead recommendation are very different outcomes.
Direct, quotable responses to the questions patients ask.
Enough surrounding detail for a model to cite you with confidence.
The treatments and concerns AI tools are actually asked about.
03 · Baseline
A number you can act on.
A citation baseline tells you where generative engine optimization is paying off and where to push next, so the work is measured against real movement rather than guesswork.
Pages organised around the problems patients search for.
Each concern leads to the right treatment and a clear next step.
Discovery content that ends in a booking, not a dead end.
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The rest of the AI-search picture
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