When a Patient Asks ChatGPT for a Doctor Near Them, Does Your Practice Come Up?

Local search has quietly split into two systems. Most practices are only optimized for one of them.

Ten years ago, a patient looking for a new dermatologist in a specific town did one thing: they typed “dermatologist near me” into Google, scanned the first page of results, and called whichever listing looked most credible. That was the game. Practices that ranked for local searches won. Practices that didn’t, lost.

That game still exists. But there is now a second one running alongside it — and most practice owners have not yet realized they are playing it.

Patients are increasingly asking AI tools like ChatGPT, Perplexity, and Google’s own AI Overviews to recommend a doctor. They type a natural-language question — “Can you recommend a board-certified dermatologist in [town] who takes BlueCross and does skin cancer screenings?” — and the AI returns a short list of specific practices. Not a page of blue links. A recommendation.

If your practice is not on that short list, you are invisible to a growing, increasingly important category of patient search — and no traffic report will tell you about it, because there is no click to measure.

Two different visibility systems, same patient

Traditional local search visibility depends on a familiar set of factors: a complete and current Google Business Profile, consistent name-address-phone (NAP) information across the web, review recency and volume, website content that signals your specialty and location, and technical health of the site itself.

AI-powered search visibility depends on those same fundamentals, plus some that are newer. AI tools read structured data on your website, look for clear plain-language descriptions of your services, give more weight to third-party corroboration (directories, health review sites, practice listings), and heavily favor practices with recent, specific reviews. They also have a bias that traditional search does not: they prefer practices with clean, crawlable websites over visually impressive ones that hide information inside images or custom scripts.

The uncomfortable implication is that a practice can be perfectly fine in traditional Google search and still be almost invisible to AI search — because AI prioritizes slightly different signals.

Why this shift is accelerating faster than practices expect

Patient behavior around AI search is moving faster than most industries internalize. Patients who already use ChatGPT for other questions are carrying that habit into healthcare. A 34-year-old parent researching a pediatrician is now as likely to ask Perplexity for a recommendation as to scroll through Google’s local pack. A newly retired patient relocating to a new town might ask ChatGPT what to look for in a primary care practice — and ChatGPT will cite specific practices by name.

For a practice, the asymmetry is steep. The cost of being included in AI recommendations is modest — it usually means tightening the same fundamentals that help traditional search. The cost of being excluded is a slow, invisible leak of a growing segment of new-patient search volume.

The five signals that drive local + AI visibility for medical practices

1. Google Business Profile completeness and recency

The single highest-impact asset most practices underuse. A Google Business Profile that has accurate hours, a current service list, recent photos, responses to reviews, and regular updates is the foundation of both traditional local search and AI recommendations. A profile that is 60% filled in and has not been touched in a year is the fastest thing most practices can improve.

2. Review recency and response

Both Google and AI search models weigh recent reviews much more heavily than older ones. A practice with 80 five-star reviews, none in the past 12 months, looks inactive. A practice with 25 reviews, five of them in the past month, looks like a thriving going concern. Review volume matters less than it used to; review recency matters more.

3. Listing consistency across the web

Your practice name, address, phone number, hours, and specialty need to match across Google, Healthgrades, Vitals, Zocdoc, your state medical board listing, and any insurance directories. Inconsistency — an old address on one site, a closed phone line on another — is a signal to search algorithms that your data is unreliable, and it suppresses visibility in both traditional and AI search.

4. On-site content that describes what you actually do

Practices that publish clear, plain-language descriptions of their conditions, procedures, and differentiators consistently outperform practices with generic “we offer compassionate care” copy — both in Google and in AI recommendations. AI tools, in particular, prefer practices whose websites make it easy to answer specific patient questions.

5. Technical health of your website

Mobile performance, page speed, structured data, and readable source code all matter. A beautiful site that hides information inside images or poorly written code is less visible in AI search than a simple site with clean, crawlable content.

What most practice owners have never been told

The main reason AI search visibility is quietly underperforming at most practices is not that their websites are bad. It is that the bar moved and nobody told them. A site that was built in 2022 was built for Google’s traditional local pack. The behaviors and signals that drive AI recommendations did not exist at scale yet. The site may still work for its original purpose — and still be invisible to the fastest-growing segment of new-patient search.

This is not a technical problem. It is a bar-has-moved problem. And the fix is almost always a set of targeted updates to the same fundamentals that also improve traditional local search — meaning the work pays back in both systems at once.

A five-minute self-check

• • Open an incognito browser and search for your specialty plus your town. Are you in the top three local results?
• • Open ChatGPT or Perplexity. Ask it to recommend a [your specialty] in your town. Is your practice in the response?
• • Check your Google Business Profile — is every field filled in and current?
• • Look at your latest review — was it left in the last 30 days?
• • Search your practice name. Does the information match across Google, Healthgrades, and your insurance directory?

If any of those answers are no — or if you are not sure — you are not alone. Most practices we audit have at least two of these gaps, and most are unaware of them until someone looks.