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The Read

Does ChatGPT recommend dermatologists? What decides who gets named

Patients now ask AI who to see about their skin, and the answer names only a few practices. What decides who gets named is more ordinary, and more claimable, than you would guess.

By Kenny Gimpert, founder3 min read

Kenny Gimpert, Founder of Web Everything, on whether ChatGPT recommends dermatologists and AI visibility for dermatology practices

A patient in your metro has a mole she doesn't like, an acne flare that won't quit, or a cosmetic result she wants. Five years ago she'd have searched Google. Now she tells an AI the whole story and asks who to see.

The AI always answers. It names a clinic or two, and she makes an appointment. About 47% of patients have now used AI to find a new provider1, and tens of millions of people ask ChatGPT health questions every day2. Skin questions are among the most common.

For most dermatology practices, that answer doesn't include them yet. Their medicine and reviews are fine. The channel is new, and almost nobody has set up for it.

Being named matters more than ranking

Search is a list of links, and your years of work on it still count. An AI answer is shorter. Where a search page shows ten results and three ads, an AI names a few practices in a sentence.

Third on a list of links still gets clicks. Missing from a three-name answer means nobody sees you. Being one of the three, while almost none of your peers show up, is a position practices used to spend years building.

What the AI engines read

There is no secret handshake, so be wary of anyone selling one. An AI reads the same public signals a careful patient would.

It reads your Google Business Profile, the listing shown in Google search and Maps, and checks that it's complete, current and consistent. It reads whether reviews arrive steadily and what they say, not only the star average. It favors website pages that answer patient questions in plain language. And it reads schema, code that labels facts like your hours, specialty and locations so a machine doesn't guess.

You don't need a big MarTech stack, the tools marketers buy to run campaigns. You need ordinary housekeeping, most of which you already half-do, kept consistent enough for a machine to verify.

Why most practices aren't named yet, and why that helps

Ask an AI for a dermatologist near you, and it will usually skip most of the good practices in your area. That looks like bad news. It's closer to the opposite.

The current answers are a first draft, pulled from whatever signals happened to be machine-readable. Practices that make their signals easy to verify in the next year or two will be first.

That's rare. The last time a channel this large was this open was early Google, and the practices that took it seriously then are still collecting the returns.

What being early is worth

Treat it like any investment: cost, return and timing. The cost is small. The signals AI reads are cheap to fix: a consistent profile, plain answers on your site, a steady habit of asking happy patients for reviews. It's weekend-project work.

Timing drives the return. Being named wins the patients who ask AI first, and backs you up with patients who heard your name from a friend or referring doctor and checked before making an appointment.

A Monday-morning way to start

Start with one question: what does AI say about your practice today? You can check whether AI names your practice for free, in about two minutes, and we built a page for dermatology practices that walks through the whole picture.

Then do the plain work in order. Make your Google Business Profile complete and identical everywhere it appears. Answer the ten questions patients actually ask, on your own site, in your words. Ask for reviews steadily, not in bursts.

The field is open now, and a place in it is yours to claim.

Sources

  1. TechTarget, 2026. Share of patients who have used AI to find a new provider (47%).
  2. OpenAI, January 2026. Daily ChatGPT health-question usage (40M+), from the “AI as a Healthcare Ally” report.

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