AI visibility for healthcare practices
The short version. For most healthcare queries the answer slot is held by the booking and rating directories rather than by any practice's own site, so the lever that moves you is presence on that layer, not another page about your services.
The answer slot in this category usually belongs to the directory layer
- zocdoc.com
- healthgrades.com
- yelp.com
Where that layer holds the slot, the lever is presence on the directory layer. These are the platforms our classifier already carries for this category, so a pool held by one of them is recognised as such rather than counted as a rival brand.
Ask an engine for a dermatologist in a city and read what it cites. In this category the sources under the answer are usually booking and rating platforms, not the practices themselves. That is a structural fact about how the answer gets assembled, and it decides which work is worth doing.
It matters because the obvious response, writing more service pages, is aimed at a slot your own site does not currently hold. Where an aggregator owns the pool, another page competes for a citation that is not being handed out. The work that moves the number is being present, complete and consistent on the layer the engine is already reading.
Healthcare is also the category where being wrong is most expensive. Engines state opening hours, insurers accepted and whether a practice takes new patients, and they state them with the same confidence whether or not they are current. The product extracts those statements as verbatim sentences for a correct or incorrect verdict, because a confidently wrong sentence about a practice is a lost patient in a way a missing citation is not.
What the product actually does here
01Per-location measurement, not one blended number
Each location is measured against its own market, and a location is only called invisible when its whole confidence interval sits under the floor. A group can be strong in one metro and absent in the next, and one averaged number hides exactly that.
02The directory layer, weighted per engine
The engines do not read the same platforms. The directory view weights each source by how much that specific engine leans on it, so the work is ordered by what your engines actually read rather than by a generic list.
03Claims extracted for a verdict
What engines assert about the practice comes back as verbatim sentences you mark correct or incorrect. Verified claims become the only facts our drafts may use; incorrect ones become correction targets.
What we will not claim here
- We do not touch patient data, and nothing about a patient enters measurement. The unit of measurement is a public answer to a public question.
- We do not write medical claims. Drafts carry your verified facts, and a quality gate blocks anything that reads as an assertion you did not make.
One thing to hold on to: none of the above is assumed about you. Your report classifies each of your money queries from your own measured answers, and if it disagrees with this page, the report is right. This page describes what categories like yours have tended to look like, which is a useful prior and a bad conclusion.
The measurement rules behind that are on the methodology page, and the enforcement page names the test behind each one.
Measure your own domain