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.

Cited?
Presence first
Share
of the answer
Trend
month over month
Concern-based discovery built for AI search by Health Hue Digital

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.

A Hue's Med Spa treatment page beside its built-in JSON-LD schema for the procedure, location, and reviews. The same page showing entity links that connect the clinic to the treatments and concerns it offers. The page with its clean, fast, parseable markup checks highlighted for search engines and AI models.

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.

An AI search answer with a direct, quotable response that names Hue's Med Spa as the recommended clinic. The same AI answer with the grounded facts, treatment, provider, and price, highlighted. The AI answer with its source list highlighted, citing two Hue's Med Spa pages.

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.

A Hue's Med Spa concern page for melasma, organised around the problem patients actually search for. The same concern page with its routed treatment options highlighted, leading with the best match. The concern page with its booking card highlighted, turning discovery into a booked consultation.

Keep learning

See where AI cites you today.

Book a 30-minute call and we’ll run a current read on how often the major AI engines mention your clinic, and where the gaps are.

FAQ

Questions about llm visibility.

What is LLM visibility?
LLM visibility is a measure of how often, and how prominently, large language model engines like ChatGPT, Gemini, Claude, and Google AI Overviews mention and cite your clinic when patients ask them questions.
How do you track it?
We query the major engines with the questions your patients actually ask, then record whether your clinic appears, how it is described, and which sources are cited, and watch how that changes over time.
Which engines do you monitor?
The ones patients use most: ChatGPT, Google AI Overviews, Gemini, and Claude, with others added as they gain traction in your market.
Is LLM visibility the same as rank tracking?
No. Classic rank tracking measures position in a list of links. LLM visibility measures whether and how you are cited inside AI-generated answers, a different surface entirely.
How often should it be measured?
Regularly, because AI answers shift as engines update and your content changes. A monthly read is usually enough to see whether the trend is moving the right way.