You can find out in a few minutes whether AI assistants name your practice when a patient asks for a full-arch implant dentist in your city. You do not need any tools. You need a phone or a laptop, a notepad, and the questions a patient would type. This post gives you those questions and a simple way to record what you see.
Start with the questions patients type
Patients do not ask the way marketers write. They ask the way they talk. Here are the question shapes that come up again and again for full-arch cases. Replace the city with yours.
- “Who is the best All-on-4 dentist in {city}?”
- “Best full mouth dental implants near {city}”
- “Full-arch implant dentist {city} reviews”
- “Where can I get teeth in a day in {city}?”
- “Affordable All-on-4 {city} financing”
Pick three of these. Use the words your patients actually use when they call. If your front desk hears “full mouth implants” more than “All-on-4”, lead with that. Write the three questions down before you start so you ask each assistant the same thing.
How to ask Google
Open Google in a normal browser window. Sign out, or use a private window, so your own history does not shape the result. Type the first question. Look at the very top of the page.
If an AI Overview appears, read it carefully. It may name practices directly, or it may describe what to look for and link to sources. Note every practice name it mentions and every site it links to. If no AI Overview appears, write that down too. It does not appear for every query, and that is useful to know.
Then scroll to the map. Note the three pins and the order. Search again with “All-on-4 dental implants {city}” and note the map again. This is a different question from the AI one, and it is worth knowing both.
How to ask ChatGPT
Open ChatGPT. Make sure web search is on. Without it, the model answers from older memory and the result is not what a patient sees today. Type your first question exactly as written.
Read the full reply. Write down each practice named, in order, and the reason given for each. The reason matters. It tells you what the model found and trusted. “Known for same-day full-arch cases” points to a service page. “Patients mention the implant team by name” points to reviews.
Then ask a follow-up a real patient would ask: “Which of these has the best reviews for implants?” or “Which one offers financing?” See whether the list changes. Do this for all three questions. Start a new chat for each so earlier answers do not color later ones.
How to ask Gemini
Open Gemini and repeat the same steps. Gemini often leans on Google’s own data, so its answers can look like the map and the AI Overview. Sometimes they differ. Note who it names, in what order, and why.
By now you have three assistants, three questions each, and a page of names. That page is your answer.
What to write down
Keep it simple. A table with these columns is enough:
- The question, word for word
- The assistant (Google AI Overview, ChatGPT, Gemini)
- The practices named, in order
- Whether your practice is among them
- The reason given, if any
- The date
The date matters because you will want to check again. Results shift. Doing this once a month, with the same questions, shows you the direction of travel. Doing it once tells you where you stand today.
Why results vary
Do not be alarmed if two runs of the same question give different names. There are reasons.
City wording is the first. “Tulsa” and “Tulsa, OK” and “near Tulsa” can pull different sources. A patient in a suburb may type the suburb, and a practice that is strong for the metro may not appear for it. Try the variants your patients would use.
Day to day variation is the second. Assistants that search the web read whatever is there that day. New reviews, an updated page, a competitor’s new listing, all change the reading material. A model also chooses which searches to run, and that choice is not identical every time.
Device and account are the third. Signed-in results, location settings, and app versus browser can all nudge what you see. A private window on a desktop is the cleanest baseline. Checking once more from a phone, signed in, shows you the other common case.
Because of all this, treat a single check as a sample. What you want to know is whether you appear regularly, across the natural phrasings, not whether you appeared once.
Reading what you found
If your practice is named by all three assistants for all three questions, you are in good shape. Keep doing what you are doing and check monthly.
If you are named by some and not others, look at the reasons given for the practices that appear where you do not. They point at what the model found about them that it did not find about you. A clearer page. Reviews that name the treatment. A listing that matches the site.
If you are not named at all, the fundamentals are the place to start. Does your site have a page that says “full-arch” or “All-on-4” and names your city? Do your recent reviews mention implants? Is your practice name identical on your site and your Google listing? These are the things the model reads.
A practical next step
Block fifteen minutes this week. Write your three questions, open a private window, and work through Google, ChatGPT and Gemini in that order. Fill in the table and save it with the date. If you would rather have the same checks done for you in about a minute, including the map position, review mentions and page speed, you can run the free Market Check and compare it with your notes. Either way, by the end of the week you will know whether the patients asking AI in your city are hearing your name.