Where Does ChatGPT Get Its Information About Your Practice?

This stopped being a curiosity and became a real channel faster than almost anyone expected. In rater8's 2026 Patient Choice Report, 47 percent of patients said they had used AI tools like ChatGPT, Claude, Perplexity or Google AI Overviews to research a healthcare provider, up from 31 percent just nine months earlier. Among people who actively searched for a new doctor in the past year, AI was an influence for 36 percent, which actually edged out plain Google search at 34 percent and personal recommendations at 32 percent.

And here is the part that surprises most practice owners: it is not the twenty somethings driving it. In the same report, 64 percent of adults aged 45 to 60 said they used AI to find providers, more than any other age group, compared with just 28 percent of people 18 to 29. The patients with the insurance, the chronic conditions and the money to spend are the ones asking a chatbot who to see.

So it is worth knowing exactly where these tools get their facts, because once you see the plumbing, you realize you have far more say over the answer than it feels like.

The five places AI learns about your practice

When ChatGPT, Google AI Overviews or Perplexity describe your practice, they are pulling from some combination of these sources. None of them is a secret. All of them are things you can influence.

1. A live web search, right when the patient asks

Modern ChatGPT does not answer local questions from memory alone. When someone asks about doctors in a city, it runs a live search and reads the pages that come back, then writes a summary. That means your website, the directories you appear on, and the review pages about you are being read in real time and compressed into a few sentences. If your site is slow, thin, or buried, the AI leans on whatever else it can find, which is often a competitor or a directory listing you do not control.

2. Your Google Business Profile

For anything local, your Google Business Profile is the single most important source. Google's AI Overviews and map based answers treat it as the source of truth for your name, hours, address, phone, services and reviews. A complete, active profile makes you look like a real, open, trustworthy business to both Google and the AI reading it. A half empty one with no hours and three photos from 2016 can get you quietly skipped, so you only show up when someone searches your exact name, never for "doctor near me."

3. Your reviews, everywhere they live

When a patient asks an AI which practice is good, the model has to decide what good means, and it reaches for the clearest signal available: your reviews. Volume, star rating, how recent they are, and even what the words say. A practice with 200 recent reviews and specific praise gives the AI something concrete to repeat. A practice with 11 old ones gives it nothing to work with, so it moves on to someone it can describe with confidence.

4. Directories and citations across the web

Healthcare directories, insurance finder tools, chamber listings and data aggregators all feed the picture. The problem is that these go stale without anyone noticing. An old suite number here, a disconnected phone number there, a location you closed two years ago still listed as open. Every mismatch is a conflicting signal, and conflicting signals are exactly how an AI ends up telling patients the wrong thing about your practice.

5. Training data, which is often out of date

Part of what a model knows is baked in from older training data, a snapshot of the web from months or years ago. This is why ChatGPT sometimes states something about your practice with total confidence that stopped being true a while ago. You cannot edit a model's memory. What you can do is make the live, current web so clear and consistent that the fresh information wins over the stale.

The uncomfortable truth: you cannot talk to the AI directly

There is no portal where you log in and tell ChatGPT the correct facts about your office. People find this frustrating, and it is also the most important thing to understand about this whole shift. You do not manage the AI. You manage the sources the AI reads.

That reframes the job entirely. Instead of chasing each chatbot, you make the open web agree on a single, accurate, flattering version of your practice. Do that, and every AI that looks you up finds the same clean story and repeats it. This is the same work that has always made practices easy to find in search, which is why we think the smartest move is to treat AI visibility as an extension of healthcare SEO, not some exotic new discipline. Some people call the AI focused flavor generative engine optimization, and it is real, but for a local practice it rests on the same foundation.

How to make sure AI gets your practice right

Nothing here is magic. It is the unglamorous work of making your online presence clear, current and consistent. Here is where the leverage actually is.

• Finish your Google Business Profile and keep it alive. Full hours, correct address and phone, every service listed in the words patients use, real photos, and regular posts. This is the highest return hour you can spend for AI and map visibility both.
• Make your name, address and phone identical everywhere. Pick one exact format and match it on your website, Google, every directory and every insurance listing. Hunt down and fix old addresses and dead phone numbers. Consistency is what turns mixed signals into one confident answer.
• Give your website plain, factual pages. AI reads text, not vibes. Clear service pages, a real location page, a straightforward about page and an honest FAQ give the model clean facts to lift. A website built to rank and convert does double duty here, since the same clarity that helps a patient helps the machine summarizing it.
• Build reviews as a habit, not a scramble. A steady trickle of recent, specific reviews is the strongest "this practice is good and still open" signal there is, for patients and for AI.
• Answer real questions in your own words. The questions patients type into a chatbot are the questions your site should already answer. Blog posts and FAQ sections that respond to real patient questions get quoted back by these tools surprisingly often.

If you want to go a layer deeper on the technical side, it is also worth understanding whether your practice needs an llms.txt file and how AI crawlers read your site. And if you are wondering how far this goes, patients can increasingly start the booking process inside these tools too, which we covered in can patients book your practice through ChatGPT.

How EtherealMinds sees it

Our honest take, after working only with healthcare practices: most owners are still optimizing for a 2020 version of search while their patients have already moved on. The practice down the street that shows up in the AI answer did not pay ChatGPT. It just built a clean, consistent, well reviewed presence that every tool, Google, Maps and the chatbots, reads the same way and trusts.

That is the whole game now. You are not trying to trick a model. You are trying to be the obvious, well documented, clearly open answer to a patient's question, wherever they ask it. Our healthcare SEO and local search work is built around exactly that: one accurate story about your practice, repeated everywhere a patient or an AI might look, so the answer comes back in your favor whether it is typed into Google or spoken to a chatbot on the couch at 10pm.