How Patients Use AI Assistants to Choose a Doctor

The shift already happened

Here's a number worth sitting with: 70% of patients are now open to using AI tools to research and compare doctors. Not someday. Right now. That's from rater8's 2025 survey of more than 1,000 U.S. adults.

And it's not just curiosity. 26% of patients said AI recommendations directly influenced which doctor they chose. That puts AI on par with primary care referrals (28%) and healthcare review sites (29%) as a top-three influence on provider selection.

Read that again. A quarter of patients are letting ChatGPT, Perplexity, or Google's AI Overviews shape which doctor they call. Not which restaurant. Which doctor.

What patients actually do with AI

They're not asking AI to diagnose them (well, some are, but that's a different post). When it comes to choosing a provider, patients use AI assistants the way they used to use a friend's recommendation -- except faster and with more detail.

They type things like "best endometriosis specialist near me" or "what's the difference between IVF and NaProTechnology" or "is Dr. [name] any good." The AI assembles an answer from whatever it can find online. If your practice has clear, specific, recently updated content, you're in the mix. If it doesn't, you're not.

Rock Health's 2025 survey of 8,000 consumers confirms this isn't a fringe behavior. AI chatbot use for health information doubled in a single year -- from 16% to 32%. Of those users, 74% are using general-purpose tools like ChatGPT, not specialized health apps. And 40% of them followed up by consulting an actual provider.

That last stat matters. These aren't people replacing you. They're people researching you before they call.

Trust is growing -- and it's complicated

You might assume patients don't trust AI for something as serious as choosing a doctor. The data says otherwise. More than half (52%) of patients say they trust AI-generated results as much as or more than traditional search.

But here's the nuance: what they trust most inside those AI answers is verified patient reviews. When rater8 asked patients what they valued most in AI-generated summaries, reviews from real patients topped the list -- above credentials, above convenience, above everything else.

So it's not blind trust. Patients are using AI as a filter. They ask it to sift through the noise, then they look for social proof to confirm the recommendation. If your practice has strong reviews on Google, Healthgrades, and other directories, the AI has something credible to point to. If you've got three reviews from 2021, the AI doesn't have much to work with.

What this means for NaPro and RRM practices

This trend hits the RRM world in a specific way. When a patient asks an AI assistant about NaProTechnology or restorative reproductive medicine, the quality of that answer depends entirely on what's available online. And the RRM ecosystem's digital footprint is thinner than it should be -- not because the medicine is weak, but because the content strategy hasn't kept pace with how patients now search.

A FertilityCare practitioner with a beautifully designed website that says "we take a holistic approach to women's health" isn't giving the AI anything to cite. A page that says "we treat endometriosis, PCOS, recurrent miscarriage, and unexplained infertility using NaProTechnology's surgical and medical protocols" gives the AI a clear, specific answer to pull from.

The difference isn't design. It's specificity.

Three things you can do this month

Answer the questions patients actually ask. Check your website for direct answers to queries like "Is NaProTechnology covered by insurance?" or "How does NaPro differ from FABM?" If those answers aren't on your site in plain language, AI can't find them. And if AI can't find them, neither can the patient sitting on her couch at 10 PM wondering whether to book an appointment.

Claim and update your directory profiles. AI systems cross-reference sources. Your website, Healthgrades profile, Doximity listing, and Google Business Profile should all tell the same story -- same name, same credentials, same conditions treated. Consistency builds the kind of trust signals that AI algorithms weight heavily.

Ask for reviews. Since verified reviews are the number-one thing patients look for in AI-generated summaries, this is the single highest-leverage action most practices can take. You don't need hundreds. You need recent ones that mention specific experiences.

The patient's journey starts before your phone rings

None of this requires an overhaul. You don't need a new website platform or a marketing agency on retainer. You need your existing content to be specific, current, and structured so that when a patient asks an AI assistant about your specialty, the answer reflects the quality of care you actually provide.

The 70% number isn't going down. If anything, it'll look conservative a year from now. The practices that show up in AI-generated answers today are the ones patients will call tomorrow. That's not a threat. It's an opportunity to make sure the AI knows what you already know -- that the work you do changes lives.