Your next patient asked AI, not their doctor. Was the answer even true?

AI is now a referral source for healthcare. Patients ask ChatGPT and Perplexity before they ask their PCP, and the engines answer with confidence whether they are right or not. We measure what they say about your practice, every month, and fix what they get wrong.

API responses approximate but do not exactly match consumer app answers; we report these numbers as trend and share of voice comparisons, never as absolute truth.

accuracy diagnosis
The diagnosis view: every lost patient question classified by severity, with the sources engines cited and a fix plan. Confidential details blurred.

A real diagnosis view. Confidential details blurred, the format is exactly what you get.

Why healthcare is different

Wrong answers about health
cost more than clicks

Search engines call health content YMYL: Your Money or Your Life. AI engines answer these questions anyway, with high confidence and no appointment book. When an engine describes a hospice provider incorrectly, invents a surgeon, or tells a patient a practice offers a service it does not, that is not a marketing inefficiency. It is a trust problem with a patient you never got to meet.

Wrong location
“The practice is located in Colorado.”

It is in California. Engines conflate similarly named practices across the country, and a patient given the wrong state simply books elsewhere.

Invented practitioners
“Led by Dr. [a person who does not exist].”

Nobody by that name works there. Fabricated names and credentials attached to your practice damage credibility in the most personal way possible.

Confused specialties
“They offer [a treatment the practice has never performed].”

Services promised on your behalf generate calls you must turn away and patients who leave feeling misled.

Outdated coverage
“They accept [an insurance panel from years ago].”

Patients pre-qualify themselves out of your practice based on network information that stopped being true years ago.

One engine moved a real surgical practice to the wrong state and staffed it with surgeons who do not exist. A patient checking that answer against the practice website would reasonably conclude somebody is lying.

Calm water and palms in Fiji

Photographed by our founder, Drew Thomas Hendricks.

What patients ask

The questions AI answers
about practices like yours

best physical therapist near meoral surgeon in [city] who takes my insurancehospice care options in [region]home health services for my parent in [city]what conditions does [practice type] treat

Example question shapes, not client panels. Your panel is built from the way patients in your specialty and your region actually ask, and you see every question.

The loop, for healthcare

Measured monthly.
Watched weekly.

1

Measure

Your patient questions go to all eight engines every month, including Google AI Overviews and AI Mode. We score who gets named: you, or the practice the engine prefers today.

2

Diagnose

Every wrong claim about your practice gets a root cause and a fix plan aimed at the sources the engine actually cites.

3

Fix

Corrections and content grounded only in verified practice facts, approved by you in a private portal before anything ships.

4

Prove

The next measurement confirms what the engines stopped claiming and where you became visible. Healthcare clients also get the weekly watchdog with same day alerts.

The full mechanism, including the battle map, receipts, and methodology, lives on the AI Visibility Engine page.

Healthcare questions

Asked by practices like yours

Do patients really ask AI before choosing a provider?

Increasingly, yes. Health questions carry a privacy weight that makes AI chat attractive: patients ask an engine what they might hesitate to ask a friend or even a doctor. The engines answer with specific practice names, locations, and service descriptions. Whether those answers are accurate is exactly what we measure.

What kinds of wrong claims do engines make about healthcare practices?

In our first measurement month we saw wrong locations, invented practitioners, confused specialties, and outdated service descriptions. One engine moved a California surgical practice to Colorado and named surgeons who do not exist. For healthcare these are not marketing problems. They erode patient trust before the first appointment.

How fast would we hear about a new wrong claim?

Healthcare clients sit in our weekly accuracy watchdog tier. Branded control checks run every week, not every month, and a new wrong claim raises a same day alert instead of waiting for the next monthly cycle.

Find out what AI tells your patients

The audit shows where your practice is invisible, who the engines recommend instead, and what they get factually wrong. Reviewed by a person before it reaches you.

Request Your AI Visibility Audit