AI is recommending healthcare providers every day. When a patient asks ChatGPT where to go for a procedure or asks Perplexity to compare clinics, a few providers get named and the rest stay invisible. Known & Cited measures where AI sends patients, why some providers appear, and how to make sure yours is cited accurately and for the right care.
Patients describe a need, not a clinic name. "Where can I get a private knee consultation near Leeds?" "Which clinics offer this treatment and how do I choose?" "Is this provider reputable for fertility care?" The engine answers in careful prose, sometimes names providers, and shapes the patient's shortlist before they pick up the phone.
Healthcare answers are built from regulated-body listings, clinical accreditations, your own service pages, recognised health information sources, professional directories and press. Because the topic is sensitive, the engines lean hard on authoritative, verifiable sources and are cautious about anything that looks like a marketing claim. That makes Source Quality unusually decisive in this sector.
It also makes accuracy a safety issue, not just a marketing one. If the AI describes a service you no longer offer, or attaches the wrong specialism to your practice, that misinformation reaches patients directly. Measuring what the engines actually say about you is the first line of defence. See why AI visibility matters for the wider context.
Three dimensions decide whether your provider is named and described correctly, and Known & Cited scores all three.
Knowing which dimension is weakest is especially valuable here, because the fix for an accuracy problem is very different from the fix for an absence-of-mentions problem.
We test your provider across ChatGPT, Google AI Overviews and Perplexity, the three engines patients now use for early research. We build a healthcare-specific prompt set covering your treatments, conditions, locations and the comparison and reputation questions patients ask, while staying within the careful framing these engines use for medical topics.
Each answer is scored 0 to 100 and placed in one of five bands: Ghost (0 to 10), Whisper (11 to 30), Emerging (31 to 50), Cited (51 to 75) and Known and Cited (76 to 100). You see how you band per engine and per service line, and crucially whether what the engine says about you is accurate, so any harmful misinformation is flagged early.
The score is built on our 12-pillar framework, weighted across AI Visibility (40%), Source Quality (30%) and Narrative Fit (30%). The full method, including how we build prompt sets and verify each citation, is on our methodology page, with the banding explained on AI Visibility Score.
You start with a free Exec Brief. We run a focused healthcare prompt set across the three engines, score where your provider stands today, and flag both the gaps where patients are being sent elsewhere and any inaccurate claims the engine is making about your services. It is free and there is no obligation. Request one at start.
A full AI Visibility Strategy then runs on an Annual, Bi-Annual or Quarterly cadence. Providers with fast-changing services, or those who have spotted an accuracy issue, often choose a tighter cadence so they can confirm corrections have reached the engines. Pricing is bespoke and scaled to the service lines, locations and competitors you want tracked.
You receive the scored report, the exact prompts and citations behind it, an accuracy review of what the engines say about you, a competitor view, and a prioritised list of what to change to climb the bands and put right any misinformation. Then we re-measure on your cadence. Be Known. Be Cited.
Book an AVS Exec Brief: a real, one-off measurement of how ChatGPT, Google AI Overviews and Perplexity talk about your business right now. Same methodology as the full AI Visibility Strategy, delivered manually, free of charge. Annual, Bi-Annual and Quarterly cadences are bespoke priced.
Book your AVS Exec Brief →