# The Behavioral Health AI Visibility Audit | AMA > See how your treatment center appears across ChatGPT, Google AI Overviews, Gemini, Claude and Perplexity. We measure recommendation, not vanity citations. # 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. ChatGPT Google AI Overviews & AI Mode Gemini Claude Perplexity Copilot By appointment ### 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. The number everyone reports is the wrong one ## 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. **Cited**A source the model read on its way to an answer. Often just a footnote. **Mentioned**Your name is said inside the answer. Now you exist in the family's mind. **Recommended**You are the named answer. The one the frightened mother in the kitchen calls. 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. The AI Visibility Playbook for Behavioral Health #### 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. A · The Visibility Baseline ### 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). Module 01 #### ChatGPT visibility Are you mentioned and recommended in ChatGPT answers to the questions your patients actually ask? Module 02 #### Google AI Overviews & AI Mode Whether you surface in Google's AI answers and AI Mode for your highest-intent money queries. Module 03 #### Gemini visibility Your mention and recommendation across Gemini and Google's conversational search. Module 04 #### Claude visibility Your mention and recommendation in Anthropic’s Claude, increasingly used for careful, high-stakes decisions like choosing treatment. Module 05 #### Perplexity visibility Your standing in Perplexity, and which sources it cites on the way to its answer. Module 06 #### Copilot visibility Your mention and recommendation in Microsoft Copilot, grounded in Bing. Module 07 #### Citation vs recommendation Of the answers that cite you, how many actually recommend you, and how many point the family to a rival. Module 08 #### Competitor recommendation share Who is winning the recommendation across your market, and the exact source page each win comes from. B · Get Found ### 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. Module 06 #### 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. C · Get Understood ### 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. Module 11 #### Crawler & access review Whether AI retrieval crawlers can actually fetch your pages: robots.txt, hidden CDN and firewall blocks, server-rendering and llms.txt. Module 12 #### 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. D · Trust ### 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. Module 09 #### 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. Module 10 #### Clinician entity review Whether your named clinicians are established, verifiable entities the model can trust, with credentials corroborated beyond your own site. Module 13 #### 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. E · Get Transacted ### 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. Module 14 #### 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. Critical0 to 39 · barely visible to AI At Risk40 to 59 · visible, not yet optimized Competitive60 to 79 · AI-optimized Category Leader80 to 100 · the recommended name ## Evidence, not assertions **The report**A board-credible diagnosis across all 15 modules, with your score and its causes. **The evidence archive**Every AI answer screenshotted and dated, because these outputs cannot be reproduced. **The roadmap**Every fix ranked by impact and effort. The to-do list that becomes your scope of work. **The live readout**We present the findings to your leadership, not just email a PDF over the wall. ## 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. Lite ### AI Visibility Snapshot The wake-up call. A focused read across the two highest-traffic AI systems. **Request pricing**Indicative band on the call - 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 [Request this tier](/contact/) The flagship Full ### BH AI Visibility Audit The complete diagnosis. All 15 modules, all six AI systems, full depth. **Request pricing**Indicative band on the call - 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 [Request this tier](/contact/) Board-Level ### AI Visibility Intelligence Report Investor and board-grade. For multi-location groups and enterprise portfolios. **Request pricing**Indicative band on the call - 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 [Request this tier](/contact/) 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. Your guide ### 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 →](/contact/) ## 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. --- Source: https://addictionmarketingagency.com/bh-ai-visibility-audit/ Agency: Addiction Marketing Agency — https://addictionmarketingagency.com/