Be the name AI gives someone looking for help.
Nobody calls to tell you. A client who asks ChatGPT for a trauma therapist gets a confident answer, and if it names someone else, you never know. We measure what eight engines say about your practice 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.
A real client portal. Confidential details blurred, the format is exactly what you get.
Be on the shortlist
that actually gets contacted
Most prospective clients research quietly, compare a few names, and contact one. When that research happens inside an AI chat, the engine's answer is the shortlist, and being on it is what fills your calendar.
The questions AI answers
about practices like yours
Example question shapes, not client panels. Your panel is built from the way clients in your specialty and your region actually ask, and you see every question.
Measured monthly.
Watched weekly.
Measure
Your client questions go to all eight engines every month. We score who gets named and, separately, who gets recommended: you, or the practice the engine prefers today.
Diagnose
Every wrong claim about your practice gets a root cause and a fix plan aimed at the sources the engine actually cites.
Fix
Corrections and content grounded only in the verified practice facts in your Context Ledger, approved by you in a private portal before anything ships.
Prove
The next measurement confirms what the engines stopped claiming and where you became visible. Behavioral health 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. Do the fixing yourself from our briefs, or have us write and ship it for you. We run your measurement before the demo, so the call opens on your own map.
See one full month, start to finish.
The questions we put to the engines, the answers they gave back word for word, a wrong claim traced to the page that caused it, and the next measurement checking whether it stopped. Real product screens, not a mockup.
Real product screens with confidential details blurred; the receipt scene uses a sample client.
Asked by practices like yours
Do people really ask AI about therapy?
Yes, and often precisely because it is private. Questions people hesitate to ask a friend, a doctor, or even a search engine with an account attached get asked to an AI chat. The engines answer with specific practice names and clinical claims. If the engine recommends someone else, or describes your practice incorrectly, you never know that person existed.
Our name includes our modality. Does that help or hurt?
It cuts both ways, and we measure the difference explicitly. Engines often answer questions about the modality in general, cite everyone in the field, and never name your practice. Our recommendation classifier separates "the engine discussed the therapy" from "the engine recommended you", so your numbers never get inflated by generic modality mentions.
How fast would we hear about a new wrong claim?
Behavioral health clients sit in our weekly accuracy watchdog tier alongside healthcare. Branded control checks run every week, and a new wrong claim raises a same day alert instead of waiting for the monthly cycle.
How many times do you ask each question, and do you show when the answers disagreed?
Every engine gets every question multiple times each month, because AI answers are not stable the way a search result is. The same question an hour later can name a different set of businesses. Your battle map shows the count on any cell where the samples disagreed, so a result won three times out of three is never displayed as though it were the same as one won once. Across everything we measured last month, 8.6 percent of multi-sample cells came back differently from one ask to the next. We would rather show you that number than average it away.
Find out what AI tells your future clients
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.
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