A patient asks an AI tool to find a nearby specialist who treats their condition. The answer comes back in seconds, complete with a provider name, location, and phone number, but there’s only one problem: the physician no longer practices at that location.
As more patients turn to AI to make their healthcare decisions, scenarios like this carry more weight. ChatGPT and other AI tools aren’t simply answering questions about symptoms or medications anymore. They’re helping patients decide where to go, who to see, and what to do next. And the quality of those answers depends heavily on the information these AI tools can find.
AI Is Becoming Part of Healthcare’s Front Door
For years, a patient looking for care typically had a handful of options: ask their primary care physician for a referral, search online, or ask a friend or family member. Now, AI has become another place patients look for answers.
In rater8’s 2026 Patient Choice Report, 47% of patients said they’ve used AI to research healthcare providers. Among patients who searched for a new doctor in the past year, 36% said AI tools influenced their decision, ahead of Google search results and physician referrals.
Notably, Healthcare IT Today recently reported that many healthcare-related ChatGPT queries are occurring after traditional office hours, when patients may be unable to reach a physician directly. AI can give them an immediate place to ask questions, research their options, and figure out what to do next.
The searches themselves are changing, too. Patients aren’t just typing “cardiologist near me.” They’re getting more specific with questions like, “Who’s the best cardiologist near me for AFib?” or “Find an ENT nearby who does biopsies and takes Aetna.” Those are much more complex questions to answer.
AI tools have to understand more than where a physician is located. They may need to piece together specialty, services, insurance, location, reviews, and other information before they can provide the prospective patient with a useful answer.
That distinction is becoming more visible inside Google, too, where AI Overviews and AI Mode can now include their own local provider recommendations for more specific searches.
The Data Behind AI Search Isn’t Always Reliable
AI is only as useful as the information it has to work with. The problem is, the underlying provider data these tools are working with is far from perfect.
According to a 2025 LexisNexis Risk Solutions study of more than 3,000 U.S. adults, 33% of people who use healthcare provider directories have encountered outdated or incorrect information, while 21% have found it difficult to use a directory to find a provider.
When that same outdated or inconsistent information is found and recommended by AI, it can quickly become an answer a patient takes at face value. In rater8’s 2026 Patient Choice Report, among patients who used AI to research healthcare providers, 66% said they had encountered incorrect provider information, and 60% said they had trusted AI-provided information without verifying it.
AI tools don’t all search the web in the same way, and not every answer comes from a live search. But when a tool retrieves online information, it often draws from multiple sources rather than one complete, authoritative directory. For instance, a question about a cardiologist who treats a specific condition and accepts a patient’s insurance may trigger the AI to investigate the organization’s website, an insurance directory, a Google Business Profile, and a healthcare directory to put together a cohesive answer.
The problem? Those sources may not agree. A provider’s website might show a current location while a directory lists an old one. A Google Business Profile might have a different phone number, specialty, or insurance information compared to the directory. When an AI tool combines details from across the web, an outdated listing can become part of an answer a patient sees as clear and current.
The Wrong Answer Can End the Patient Journey
Consider what happens when an AI tool gets the basics wrong for Presbyterian Hospital in Albuquerque. A prospective patient may call a disconnected number, show up at the wrong location, assume a physician doesn’t treat their condition, or choose another organization because its information is easier to verify.
None of those outcomes reflects the quality of care that Presbyterian Hospital provides. That’s what makes accurate provider data increasingly important. Healthcare organizations can deliver exceptional care and still lose a patient before the first appointment if the information connecting that patient to care is incomplete or inaccurate.
And as AI does more of the searching and synthesizing on the patient’s behalf, there may be fewer opportunities for that patient to uncover the correct answer themselves.
The impact can go beyond one missed appointment. When patients can’t find the right provider or accurate information about how to reach them, they may keep searching, even when appointments are available.
What Healthcare Organizations Can Control
No healthcare organization can control exactly what ChatGPT, Gemini, Claude, or Google’s AI experiences say every time someone asks about its providers. But organizations can make the underlying information easier to find, understand, and verify.
The goal isn’t to optimize for one particular AI platform, as they will continue to change.
Instead, start by asking a few basic questions:
- Are provider names, specialties, locations, and contact information accurate on your website?
- Does that information match your Google Business Profiles and major healthcare directories?
- Have providers who left the organization been removed from outdated profiles and listings?
- Are new physicians and locations consistently represented across the web?
- Is someone routinely checking for inaccuracies rather than waiting for patients to report them?
The goal is to establish a reliable online presence that gives search engines, directories, AI systems, and, most importantly, current and prospective patients the same answer.
AI Visibility Starts With Accurate Provider Information
The conversation around AI in healthcare often gravitates toward what the technology will eventually be able to do. But patients aren’t waiting for “eventually.” They’re already using AI to research care now. That makes one of the most important AI strategies surprisingly unglamorous: get the provider information right.
As AI becomes a bigger part of how patients search for care, keeping provider information accurate across the web gives patients and the tools they rely on a better chance of finding the right answer and the best possible care.
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