A patient in your city opens ChatGPT, or sees an AI Overview at the top of Google, and types a question. “Who is the best full-arch implant dentist in Tulsa?” The answer comes back in a few seconds. It names three practices, maybe four. It gives one or two reasons for each. Then it stops.
That short list is the new first page. If your practice is on it, the patient reads your name before they read anyone else’s. If it is not, that patient may never know you exist. This post explains how those answers are built and what decides which names appear.
The answer is short on purpose
An AI assistant is not a directory. It is built to answer, not to list. When a patient asks for a recommendation, the model writes a reply that reads like advice from a well-informed friend. A friend does not hand you twenty names. They hand you a few, with a sentence about each.
That format sets a hard limit. Three or four names fit in a readable answer. Ten do not. So the model picks, and everything that follows is about how it picks.
The same is true for Google AI Overviews. The box at the top of the results page summarizes what Google found. It links to a handful of sources. There is no page two.
Where the names come from
When an assistant has web search turned on, it does not answer from memory alone. It runs searches behind the scenes, reads the pages that come back, and writes a reply from what it read. For a local dental query, those searches look a lot like what a patient would type: the service, the city, words like “best” or “reviews”.
The pages it reads are the same pages you can see. Your website. Your Google Business Profile. Review sites. Local directories. Articles that mention practices in your area. The model skims them quickly and pulls out names that match the request.
This is the key point. The model is not guessing. It is reading. If the reading material about your practice is thin, vague, or hard to connect to full-arch implants, the model has little to go on. If it is clear and consistent, you are easy to include.
What makes a practice easy to recommend
Think about what the model needs in order to recommend you. It needs your name, your city, and a reason you fit the question. The reason has to come from somewhere. Here is what tends to supply it.
- A clear service page. A page on your site about full-arch implants, in plain words, with the city named. If the model has to infer from a general “implants” page that you also handle full-arch cases, it may not make the leap.
- A consistent name and address. Your practice name should be spelled the same way on your site, your Google Business Profile, and review sites. Small differences make the model unsure whether it is looking at one practice or two.
- Review text that mentions the service. Star ratings alone do not tell the model what you are known for. A review that says “I had full-arch implants here” does. The model quotes and paraphrases review text when it explains its picks.
- Signs of being real and active. Recent reviews, a working phone number, hours, photos. These are the things a careful person would check, and the model checks them too.
None of these are tricks. They are the things a patient would want anyway. The model is trying to behave like a thorough patient who did an afternoon of research in a few seconds.
Why the list changes
Run the same question twice and you may get different names. That is normal, and it has a few causes.
The model picks which searches to run, and those vary a little each time. The pages it reads can change from day to day as reviews are added and sites are updated. The wording of the question matters too. “All-on-4 in Tulsa” and “full mouth implants near Tulsa” may pull in different pages. And the city itself matters. A practice that is listed under a suburb may show up for the suburb and not for the metro area.
This is why a single check is a snapshot, not a verdict. What you want is to be on the list often, across the common ways a patient might phrase the question. That comes from the fundamentals above, not from any one page.
What this means for how you compete
In the old search model, you competed for a spot on a page of ten blue links and a map with three pins. A patient could scroll, open several tabs, and compare. Being seventh was not great, but it was something.
In the AI model, there is no seventh. There are the names in the answer and everyone else. The patient is likely to call one of those names, because the assistant just told them it was a good choice and gave a reason.
Say your practice is Harbor Dental and you have handled full-arch cases for years. If your site calls it “implant dentistry”, your reviews say “great staff” without naming the treatment, and your Google listing says “Harbor Dental Group” while your site says “Harbor Dental”, you are hard to recommend. Not because you are not good. Because the model cannot tell.
Fix those three things and you become the kind of practice an assistant can describe in a sentence. That sentence is what gets you on the list.
A practical next step
Pick the three ways a patient in your area would naturally ask for a full-arch dentist, with your city in each. Ask Google, ChatGPT and Gemini those questions and write down who appears. Then open your own site and Google Business Profile as if you were the model, looking for your name, your city, the words “full-arch” or “All-on-4”, and a review that describes the treatment. Whatever is missing is your to-do list. If you would rather see all of that in one place, you can run the free Market Check and start from the results.