The Behavioral Health AI Visibility Audit
When a frightened parent asks ChatGPT, Gemini or Google's AI which treatment center to call, one name gets written down. We tell you whether it is yours, who it is if it isn't, and exactly where the AI got that answer, so you can change it.
Request your AI Visibility Audit
A premium, board-level engagement. Tell us about your center and we will scope the right tier on a short discovery call.
Being cited is not being recommended
Most "AI visibility" tools tell you how often a model touched your page. That score can glow green while the same answer recommends a competitor, sometimes one named inside your own content. Citation tells you the machine read you. Recommendation is the name the family writes down. We measure the one that fills beds.
The model has no opinion of its own
When an AI recommends a competitor, it is not expressing a preference. It cannot. It has never toured your facility or met your clinical director. It is echoing what its sources say.
That is the good news. The lever is not some inscrutable machine preference, it is the web's picture of you, and the web's picture is fixable. Every gap this audit finds is traced back to the specific source behind it, so the report is not a thermometer. It is a to-do list.
Built on the book
This audit operationalizes the framework Manuel Muñoz wrote for the field: the four pillars of AI visibility, the cited-versus-recommended ladder, and the trust, directory and access layers that decide who the machine names.
Fifteen modules. One coherent story.
We diagnose where you stand across every AI system, then trace each gap to the exact source, trust signal or page that is causing it.
Where you stand across the AI systems
We run your real patient questions against every assistant and measure two things the buyer actually feels: how often your name appears at all (share of voice), and how often you are the recommended answer (recommendation share).
ChatGPT visibility
Are you mentioned and recommended in ChatGPT answers to the questions your patients actually ask?
Google AI Overviews & AI Mode
Whether you surface in Google's AI answers and AI Mode for your highest-intent money queries.
Gemini visibility
Your mention and recommendation across Gemini and Google's conversational search.
Claude visibility
Your mention and recommendation in Anthropic’s Claude, increasingly used for careful, high-stakes decisions like choosing treatment.
Perplexity visibility
Your standing in Perplexity, and which sources it cites on the way to its answer.
Copilot visibility
Your mention and recommendation in Microsoft Copilot, grounded in Bing.
Citation vs recommendation
Of the answers that cite you, how many actually recommend you, and how many point the family to a rival.
Competitor recommendation share
Who is winning the recommendation across your market, and the exact source page each win comes from.
The sources that feed the answers
The models do not invent recommendations. They quote directories and editorial roundups. We prove which ones they actually trust for your queries, and where you stand inside them.
Directory & source analysis
The real directories and roundups the AI systems quote for your category, whether you are present, and who is recommended inside each one.
Can the machine reach and read you
None of the content work matters if the crawler cannot get in, or cannot resolve you as a trustworthy entity. We check both.
Crawler & access review
Whether AI retrieval crawlers can actually fetch your pages: robots.txt, hidden CDN and firewall blocks, server-rendering and llms.txt.
Schema & entity review
Whether your structured-data and sameAs entity stack is complete and corroborated, so the model can resolve and trust who you are.
The precondition the model is grading you on
A cautious machine recommends the safe choice. We audit the trust signals it cross-checks: your local entity record, your clinicians, and the compliance risks that quietly undermine both.
GBP & local trust review
Whether your Google Business Profile is a clean, corroborated entity record that agrees with your site and the wider local trust graph.
Clinician entity review
Whether your named clinicians are established, verifiable entities the model can trust, with credentials corroborated beyond your own site.
Compliance & trust-risk scan
Claims, privacy and LegitScript-adjacent exposure that erode trust and can get pages or ads pulled. The guardrail that comes before tactics.
Does the click actually convert
A won citation that lands on a page that does not convert is a lead handed back. We review the exact pages the AI sends people to.
Conversion review of cited pages
For every page the AI actually cites, whether the real conversion action, usually insurance verification or a call, is clear, fast and trusted.
One AI Visibility Score, decomposed
A single board-credible number on the cover, weighted toward recommendation, not toward easy-to-win citations, with every section traced to its cause.
Evidence, not assertions
Choose the depth your decision needs
The same rigorous methodology at three depths. Pricing is scoped to your locations, competitors and markets, and shared on a discovery call.
AI Visibility Snapshot
The wake-up call. A focused read across the two highest-traffic AI systems.
- ChatGPT and Google AI Overviews
- 15 to 20 of your real patient prompts
- Top 3 competitor comparison
- Crawler, source and compliance flags
- 8 to 12 page report + screenshot pack
BH AI Visibility Audit
The complete diagnosis. All 15 modules, all six AI systems, full depth.
- All six AI systems
- 40 to 60 prompts, built and signed off with you
- All 15 modules at full depth
- Top 5 to 7 competitor recommendation share
- Prioritized fix roadmap + 60-minute readout
- 90-day re-audit option
AI Visibility Intelligence Report
Investor and board-grade. For multi-location groups and enterprise portfolios.
- Everything in Full, plus:
- 100+ prompts, multi-location and multi-market
- Repeat runs for statistical stability
- Full competitive deep-dive + market landscape
- Board presentation + per-location appendices
- Quarterly tracking program option
Every figure in your report comes from a real AI run, a fetched file or a verified data source. We never estimate a number. Where a source is unavailable, we say so on the page.
The audit only a specialist can run
- Built on the book
This is the published AI-visibility framework for behavioral health, executed. The methodology is not improvised, it is written down.
- Behavioral-health-native
LegitScript, HIPAA-adjacent claims, clinician entities, insurance-verification conversion and trigger-aware framing are built in, not bolted on from a horizontal tool.
- We measure the rung that fills beds
Recommendation share and the competitor-source leaderboard, the things a generic AI score will never produce.
Manuel Muñoz
Founder of Addiction Marketing Agency and author of the field's AI Visibility Playbook. He leads every Full and Board-level engagement personally.
Request your audit →Frequently asked questions
What is the Behavioral Health AI Visibility Audit?
It is a premium diagnostic of how your treatment center appears across the six AI systems patients and families now use to choose a provider: ChatGPT, Google AI Overviews and AI Mode, Gemini, Claude, Perplexity and Copilot. We measure whether you are recommended, not merely cited, identify which competitor is winning the recommendation and from which source, and hand you a prioritized roadmap to fix it.
How is this different from a generic AI readiness score?
Generic tools report the bottom rung of the ladder, whether a model touched your page. That number can glow green while you lose every patient to a competitor named inside your own content. This audit measures recommendation share, the rung the buyer actually feels, and traces every gap back to the specific fixable source behind it.
How much does it cost?
Pricing is scoped to your number of locations, competitors and markets, and is shared on a short discovery call. The audit is a premium, board-level engagement across three tiers, from a focused snapshot to an enterprise intelligence report.
Which AI systems do you check?
ChatGPT, Google AI Overviews and AI Mode, Gemini, Claude, Perplexity and Microsoft Copilot. Every answer is run against your real patient questions and archived with a dated screenshot, because these outputs are not reproducible.
Do we have to hire you to do the work afterward?
No. The roadmap is yours to keep and can be executed by your in-house team. Many centers do choose to engage us to implement it, and the audit roadmap becomes the scope of that work, but there is no obligation.
How long does the audit take?
A Lite snapshot is about one week. The Full flagship audit is two to three weeks. A Board-level intelligence report is three to four weeks, depending on the number of locations and markets.
Find out who AI recommends when families search
Request your Behavioral Health AI Visibility Audit and see exactly where you stand, and what to do about it.
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