Guide · Tools
AI Search Visibility Tools for Clinics — What to Look For
How AEO/GEO measurement tools for medical practices differ, which questions decide whether a tool is trustworthy, and what a usable clinic visibility report actually contains.
Three kinds of tool get called the same thing
Prompt checkers run a handful of questions once and screenshot the answer — useful as a demo, not as a trend. Brand monitors watch mentions of your name across engines, which measures recognition rather than recommendation. Visibility measurement asks patient-style questions on a fixed cadence and reports whether you were named, where, and against whom. Only the third answers “are we getting the patient?”
The question set is the product
Everything downstream depends on which questions get asked. A set built from clinic names measures the wrong thing. A set that changes between runs cannot produce a trend. Ask any vendor to show you the exact questions and whether they stay frozen — if the set moves, the number is not comparable across rounds.
Per-engine, or the number lies
We regularly see clinics sitting near 90% in one engine and 0% in another. Averaged into one figure, that reads as a healthy middling score and the zero disappears. A report worth paying for splits ChatGPT, Claude, Gemini and Perplexity into separate columns.
Competitors belong in the same run
Exposure numbers only mean something relative to the clinics you are competing with in that answer. When the whole neighbourhood moves at once — as happens when an engine changes how it grounds — competitor data is the only way to tell a market shift from your own.
FAQ
What is an AEO measurement tool for clinics?
A tool that asks generative engines the questions patients actually ask — neighbourhood plus specialty or symptom — and records whether a given clinic is named in the answer, in what position, and alongside which competitors. It measures presence inside answers, not link rankings.
How is it different from a rank tracker?
A rank tracker reports your position in a list of links. An AI visibility tool reports whether you are one of the few clinics an engine names inside a synthesized answer. The two can disagree completely: a clinic can rank well in search and never be named by an engine.
How many engines should a tool cover?
At least ChatGPT, Claude, Gemini and Perplexity. They ground on different indexes, so a clinic can be at 90% in one and 0% in another. A tool reporting a single blended number hides the engine that most needs work.
What makes a measurement trustworthy?
A frozen question set (changing questions resets the baseline), a fixed cadence, web grounding left on so answers resemble what a patient sees, competitor names recorded in the same run, and the raw responses kept so the number can be audited.
Should a tool promise improvement?
Be careful with tools that promise a ranking or guaranteed exposure. For medical topics in particular there is no established method that reliably forces an engine to recommend a specific clinic. A tool's job is to tell you the truth about where you stand and whether your work moved it.
Boily measures Korean clinics across four engines on a fixed, frozen question set every two weeks, with competitor comparison and the raw responses retained. We publish our own visibility numbers as well. No ranking or exposure is guaranteed.