More than half of medical practices have no plan to appear in AI-generated answers when patients search for care online, even as one-third of adults now turn to AI chatbots for health information. The shift from traditional search to AI answer engines like ChatGPT, Perplexity, and Google AI Overview is reshaping how patients find providers, but most practices are still operating as if Google search rankings are enough.

What Happens When Patients Ask AI Where to Find Care?

When a patient opens ChatGPT or Perplexity and asks "Who treats heavy menstrual bleeding in my city?" or "Where can I get a colonoscopy near me?", the AI engine searches the web and returns a synthesized answer with citations pointing to specific sources. Your practice might rank perfectly on Google for those same searches and still not appear in the AI answer at all.

A recent analysis of 200 independent practices tested against roughly 4,950 patient-realistic ChatGPT prompts found that none of them were both named and cited in the results. The sources AI tools pull from are broader than many practices expect: hospital rosters, specialty-association credentialing pages, state medical boards, regional "Top Doctors" lists, and practice-owned pages all feed into what the AI sees, but national medical directories account for less of the citation surface than practices typically assume.

According to a June 2026 poll by the Medical Group Management Association (MGMA), 55% of practices do not have a strategy for AI search visibility, while 35% do and another 11% were unsure. Among those with a strategy, many responses pointed to broader AI adoption rather than search-specific work, suggesting that practice leaders are still sorting out the difference between a general AI strategy and one built specifically to appear in answer engines.

Why Are Practices Struggling to Get Visibility?

The barriers are mostly practical. Respondents cited time, money, staffing, IT support, and unclear ownership as the main obstacles. Several practice leaders said they need more knowledge, clearer leadership, a task force, or a better understanding of the benefits and risks of AI search before prioritizing it. Among those unsure about the issue, the feedback was consistent: they want a clearer definition of what AI search visibility means, examples of what similar organizations are doing, and evidence of return on investment.

The challenge is that answer engine optimization (AEO) is not just a marketing problem. It requires coordination across multiple teams: credentialing staff need to ensure specialty-board and professional-society listings are current, medical staff coordinators need to verify hospital affiliations, and website teams need to structure content in ways that both patients and machines can understand. This operational complexity explains why many practices have not yet moved on it.

How to Start Building AI Search Visibility

• Run a 30-minute visibility audit: Build 15 to 20 patient-style prompts around your highest-value services and access points. Run them in ChatGPT, Google Search with AI Overviews, Perplexity, and Gemini. Record whether your practice is named, what sources are cited, what competitors appear, and whether any information is wrong. Repeat monthly to track changes over time.
• Fix provider and location facts across all platforms: Each provider profile should have the same name, credentials, specialty, subspecialty, board certification, languages, locations, hospital affiliations, accepted insurance, new-patient status, and scheduling path wherever it appears. This includes your website, Google Business Profile, health system rosters, payer directories, state medical board profiles, specialty society directories, and major review sites.
• Create substantive pages for major services: A single "services" page listing 20 procedures gives both patients and machines little to work with. Prioritize one detailed page for each major service, procedure, or condition that drives appointments. Each page should explain who the service is for, which providers perform it, where it is offered, what patients should expect, when referral or prior authorization is needed, and how to schedule.
• Ensure technical hygiene: Confirm that important pages can be crawled and indexed, that provider bios and service pages are not hidden behind scripts or PDFs, and that your website includes appropriate structured data. Schema.org includes physician and medical organization types, and search engines use structured data to better understand page content.
• Monitor off-site sources: For many specialties, the citation path runs through pages the practice does not own. Credentialing staff can help confirm that specialty-board and professional-society listings are current and accurate.

The demand for this work is already there. KFF's 2026 Health Information and Trust polling found that about one-third of adults have turned to AI tools or chatbots for physical or mental health information or advice, including patients trying to understand symptoms, treatment options, and whether to seek care.

What Makes This Different From Traditional SEO?

Answer engine optimization overlaps with traditional search engine optimization, but it is more operational than many marketing plans assume. AI systems do not just rank pages; they extract information from multiple sources and synthesize it into a single answer. That means your practice needs to be findable, trustworthy, and consistent across every place your information appears online.

The stakes are high. Patients are arriving at practices having done more research from more sources before they call. They are using AI summaries, online reviews, and provider profiles together as they decide where to book. A practice that is invisible in AI answers is losing visibility at the moment when patients are most actively searching for care.

The category of AI brand visibility tools is barely two years old, and the toolset is still settling. No single dashboard tracks every AI surface, and no shared definition of "good" exists yet. But the practices that move first on this will have a structural advantage: they will be the ones patients find when they ask AI where to go.