Does ChatGPT recommend dermatologists? What decides who gets named

Somewhere in a metro like yours, a patient is looking at a mole she does not like, or an acne flare that will not quit, or a cosmetic result she wants. Five years ago her next move was a Google search. Today, more and more often, she types the whole story into an AI and asks a simpler question: who should I see?

The AI answers. It always answers. It names a clinic or two, says something reassuring, and she is on to booking. 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 asked of all.

Here is the part worth sitting with: for most independent dermatology practices, the answer does not include them yet. Not because anything is wrong with their medicine, their reviews, or their reputation. The channel is simply new, and almost nobody has set up for it. The answers are being written right now, and almost nobody has claimed their seat.

The question is not whether you rank. It is whether you are named.

Search, as you have known it, is a list of links. You worked on that list for years, and that work still matters. The AI answer is different in one important way: it is short. Where a search page shows ten results and three ads, an AI response names a few practices in a sentence, with confidence.

That compression is the whole story. Being third on a list of links is a fine place to live. Being absent from a three-name answer is invisible. And being one of the three names, in a channel where almost none of your peers show up yet, is the kind of position practices used to spend years building.

What the engines actually read

There is no secret handshake, and it is worth being suspicious of anyone selling one. When an AI decides which dermatology practices to name, it reads the same public trust signals a careful patient would.

It reads your Google Business Profile, the listing that appears when someone searches your practice on Google or Maps, and checks whether it is complete, current, and consistent. It reads your reviews, and it looks past the star average at whether real reviews arrive steadily and what they say. It reads your website, and it especially rewards pages that answer patient questions in plain language, because plain answers are exactly what an AI needs to build its own. And it reads schema, which is simply code on your pages that labels the facts, your hours, your specialty, your locations, so a machine can read them without guessing.

None of this requires a big MarTech stack, the software platforms marketers buy to run campaigns. It requires an ordinary set of housekeeping habits that most practices already half-do for patients, done consistently enough that a machine can verify them.

Why most independents are not named yet, and why that is good news

If you run the experiment, ask an AI for a dermatologist near you, the answer will usually skip most of the good independent practices in your area. That reads like bad news the first time. It is closer to the opposite.

It means the current answers are not a settled verdict. They are a first draft, assembled from whichever signals happened to be machine-readable. Nobody has lost anything yet, because the race has barely started. The practices that make their signals easy to verify in the next year or two are not catching up to anyone. They are first.

That is a genuinely rare situation in practice marketing. The last time a channel this large was this open, it was early Google, and the practices that took it seriously then are still collecting the compounding returns.

What being early is actually worth

Think about it the way you think about any investment: cost in, return out, and timing. The cost side here is unusually small. The signals AI reads are cheap to fix: a profile made consistent, questions answered plainly on your site, a steady habit of asking happy patients for reviews. This is weekend-project territory, not a marketing department.

The return side is where timing matters. A named position in an AI answer does not just win the patients who ask AI first. It corroborates you for the patients who heard your name from a friend or a referring doctor and checked before booking. It is presence at the exact moment of choosing, in a channel your peers have not entered.

A Monday-morning way to start

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

Then do the unglamorous work in order. Make your Google Business Profile complete and identical everywhere your practice appears. Answer the ten questions patients actually ask, on your own site, in your own words. Ask for reviews steadily instead of in bursts. None of it is dramatic. All of it is legible to the machines that are writing the answers your next patient will read.

The field is open. It will not stay open forever, but it is open now, and it is yours to claim.