People research therapy privately. Now they ask AI. What is it saying about you?

A prospective client who asks ChatGPT for a trauma therapist gets a confident, specific answer, and if that answer names someone else or describes your practice incorrectly, no one calls to tell you. We measure what eight AI engines say about your practice every month, and we 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.

client overview
The private portal overview: share of voice, wrong claims, and what shipped this month. Confidential details blurred.

A real client portal. Confidential details blurred, the format is exactly what you get.

Why behavioral health is different

The client you never hear about
is the one AI redirected

Choosing a therapist is high trust and high friction. Most prospective clients research quietly, compare a few names, and contact one. When the research happens inside an AI chat, the engine's answer is the shortlist. A wrong description does not generate a complaint. It generates silence.

Modality confusion
“They primarily offer [a therapy the practice does not provide].”

Wrong specialty, wrong client fit. Engines blur therapy modalities together, sending you inquiries you cannot serve and sending your actual fit elsewhere.

The generic answer trap
“[Modality] is an evidence based treatment for trauma…”

The engine praises your field and never names you. We measure being recommended separately from the topic being discussed, because only one of them fills your calendar.

Invented logistics
“They have a six month waitlist and do not take insurance.”

Neither claim is true. Prospective clients pre-qualify themselves out based on logistics the engine made up.

Competitor by default
“For that, I would recommend [the practice the engine prefers].”

Someone holds the answer today. The battle map shows exactly who, on which question, on which engine, with the engine's own words as receipts.

Still water and mountains at Milford Sound, New Zealand

Photographed by our founder, Drew Thomas Hendricks.

What prospective clients ask

The questions AI answers
about practices like yours

trauma therapist near me who takes my insuranceEMDR therapy for PTSD in [city]therapist for teen anxiety in [city]couples counseling that is not a waitlistdoes [modality] actually work

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.

The loop, for behavioral health

Measured monthly.
Watched weekly.

1

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.

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. 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.

Behavioral health questions

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.

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.

Request Your AI Visibility Audit