Local AI Visibility by Branch: How Clinics, Hotels and Chains Show Up in ChatGPT, Gemini and AI Overviews
How clinics, hotels and multi-location brands show up in ChatGPT, Gemini and Google AI Overviews, and how to track and fix AI visibility branch by branch.
Prefer Maya AI in Google
Highlight our stories in Search, AI Mode & AI Overviews.
For Google AI Overviews and Gemini, Google documents where local details come from: each location's Business Profile, the business's pages and Google Maps data. ChatGPT has its own business profile, Business Hub. This guide is written for businesses globally. For a clinic group, hotel group or chain, each branch is a separate place in these sources, so one well-known branch does not carry the others. Maya shows a business the answers to questions tailored to it and who is recommended instead. However, distance stays outside your control.
The guide below follows one path. Find the branch that is missing, see which source the answer leaned on, change that source for that branch, and then check the same questions again.
Start from the branch, not the brand
Someone who asks for a good dentist nearby or a quiet hotel near the old town is not asking about your brand. They are asking about a place close to them. Google says its local results are mainly based on relevance, distance and prominence (Google Business Profile Help). Google's description covers its own local results, not every AI answer. The three factors still explain why the same brand can appear for one district and be absent in the next.
Google's guide for site owners says the usual SEO basics apply to AI Overviews and AI Mode. One of the practices it lists is checking that your Business Profile information is up to date (Google Search Central). The same guide describes "query fan-out": the engine may run several related searches across subtopics and data sources before it writes the answer. A question about a clinic can turn into separate searches about the treatment, the neighbourhood and patient reviews, and each one can land on a different source.
So the unit of work is the branch. A brand-level score that averages ten locations can look healthy while three of them never appear.
Know where each engine reads local details
Google and OpenAI document different places where local details come from. Google names the Business Profile in its AI features guide and treats your own pages as possible supporting links, as long as they are indexed and eligible for a snippet. Google's developer documentation for the Gemini API describes a tool called Grounding with Google Maps, which queries Google Maps for places, reviews, photos and addresses (Google AI for Developers). The Maps tool is a documented capability of Google's models, not a statement that every Gemini answer uses Maps.
On the ChatGPT side, OpenAI now lets a business claim its ChatGPT profile through Business Hub. The ChatGPT Business Hub guide covers what the profile includes and how the claim works, so the steps are not repeated here.
ChatGPT's local answers have also changed recently. Maya's research on ChatGPT answers in eight sectors, July to October 2026, found that from September 29–30 directory, booking and review platforms were cited in far fewer local answers. When ChatGPT recommended a business, it usually pointed to the business's own website, and from October 9 the place cards it shows open in Google Maps (Maya). For a chain, that puts more weight on each branch's own location page and Business Profile than on its listings elsewhere.
| Source | Who edits it | One per | What the engine side documents | Keep identical across listings |
|---|---|---|---|---|
| Google Business Profile | The verified owner of each profile | Real-world location, with separate rules for departments and practitioners | Named in Google's AI features guide; Gemini API Maps grounding reads Maps place data | Chain name and primary category |
| Location page on your own website | Your website team | URL for each branch | A page must be indexed and eligible for a snippet to be a supporting link in AI Overviews or AI Mode | Name, address, phone, hours and services as on the profile |
| Review and booking platforms | Customers write reviews, you reply and update the listing | Usually one listing for each property | Google: reviews and ratings can help local ranking. Other platforms: not published | Property name, amenities and services |
| ChatGPT Business Hub profile | The verified business, with OpenAI reviewing each change | Not published for multi-location businesses | OpenAI's own business profile for ChatGPT | Description, category and policies as on the website |
Three of the four sources are yours to edit. Reviews are the exception, and there the work is replying and keeping your own listing details current.
Build a multi-location AI visibility report branch by branch
The general method for measuring AI visibility is in the guide to the seven AI visibility metrics, and building the question list is covered in how to build a prompt set. For a business with several locations, the difference is the second axis. Every question is asked for a specific branch.
Choose the questions each branch must answer
Write the questions the way a customer would, with the service and the area in them. For a dental group, one branch might get "Which clinic near the central station does same-week implants?" and "Is there a children's dentist open on Saturdays in the north district?" These are representative examples that show the format. Keep the same service questions for every branch so the branches stay comparable.
Keep questions that include your brand name in a separate group. They check whether the details an engine repeats about a known branch are correct. Questions without the brand name show whether a customer who has never heard of you would find the branch.
Report each location, then compare
Read the results for each branch first, and only then put the branches side by side. Ask the same questions on the same engines in the same week, or the comparison mixes timing with real differences. Start with the cities that carry most of your bookings. For each missing answer, note which business was recommended instead and which source the answer showed.
Knowing which branch loses which question tells you where the next month of work should go. With Maya's local business service, you add a business from its website or its Google Maps listing and see what AI answers to five questions tailored to it, and which businesses are recommended instead (Maya). Maya's Prompt Management keeps a repeatable set of prompts organized around products, categories and markets. How to split that set by branch is a setup question for the Maya team.
Local clinics in AI recommendations: keep practitioners and branches apart
A clinic chain has two kinds of names that patients ask about: the branch and the doctor. Google's Business Profile guidelines treat them differently (Google Business Profile guidelines). Doctors and dentists are "individual practitioners" who may have their own profile. When several practitioners work at one location, the organization creates its own profile for that location, and the practitioner's profile carries only the practitioner's name. All locations of a chain should use the same name and the same category.
When a branch profile carries the lead doctor's name, or two branches use different versions of the clinic name, an answer to a question such as "aesthetic clinic in the old town" may point to a person instead of the branch. Treat that as a hypothesis. Open the answer and check which profile or page it actually shows before you rename anything.
Maya's local business page shows a published customer screenshot in which Moodist Hospital appears in the map card and the highlighted options for a Turkish question asking for the best psychiatric hospital (Maya). The answer presents the hospital as a place on a map, not only as a link, so the place listing is part of what patients see.
Hotels in AI travel recommendations: one set of facts in every listing
Travellers rarely ask for "a hotel". They ask for a hotel with conditions: free parking, a sea view, family rooms, a short walk to the station. Facts like these live in several places at once, including the hotel's Business Profile, its own room and location pages, and travel booking and review sites. When those places disagree, an answer can repeat the wrong version.
Google asks site owners to make important content available as text (Google Search Central). A parking policy that exists only in an image or a downloadable brochure is harder for any engine to quote.
Illustrative example: one hotel branch missing from a travel question
Illustrative example: the hotel group, question and listings are invented, not Maya data. A group with three boutique hotels tracks the question "Which boutique hotels near the old town have parking?" in Maya. Two of its hotels appear in the answers. The third, the one closest to the old town, does not.
In Maya's Source Analysis, the team opens the cited URLs and answer snippets for that question. The answers lean on a travel booking listing and the hotels' own pages. The third hotel's booking listing leaves parking blank, and its own website mentions parking only inside a downloadable brochure.
- Observation: the answers quote parking details, and the third hotel's parking details are not available as text in the sources the answers use.
- Possible cause (hypothesis): when the engine searches for hotels with parking near the old town, it finds no passage about the third hotel to quote.
- Test: add a short parking section as text on the hotel's location page, add parking to its Business Profile and fill the field on the booking listing.
- Verification: once the page is indexed, ask the same question on different days and check whether the third hotel appears or is cited. If it still does not, compare its profile with the two hotels that do appear.
Fix the source behind a missing branch
The report tells you which branch is missing. The source the answer showed tells you where to make the change. Fix one thing on one branch at a time, so you can tell afterwards which change came before which result.
| Situation | What to change | Why it may help |
|---|---|---|
| A hotel is missing from AI travel recommendations for its own area | Make the profile, the location page and the booking listings state the same amenities, and put key facts in text | Travel questions combine conditions, and an answer can only repeat a condition it finds |
| An aesthetic clinic branch is missing from local AI recommendations, while one of its doctors appears | Give the branch its own profile, separate from the practitioners, and name the branch on its location page | Google's guidelines separate practitioner profiles from the profile of the location |
| Google AI Overviews name other local businesses for one branch's district | Check that the branch has one verified Business Profile with the chain's name and category, and that its location page is indexed | Google names Business Profile information in its AI features guide |
| The multi-location report shows one branch strong and the others absent | Compare the strong branch's page and profile with the others, and add what they lack: services as text, opening hours, photos | The difference between your own branches is the cheapest hypothesis to test first |
| The local page's structured data says something the visible page does not | Make the markup match the visible text and use the most specific LocalBusiness type | Google asks for structured data that matches the visible text |
| A branch has no page of its own on your website | Publish one URL for each location, linked from your location list | A page has to exist and be indexed before it can be a supporting link |
Each row is a test, not a promised result. Start with the row that matches the source you saw in the answer.
Reviews belong in the same check, briefly. Reply to reviews on each branch's own profile. Google says replies show customers that you value their feedback, and that more reviews and positive ratings can help local ranking (Google Business Profile Help).
Check whether the change held
Write down the date and the exact change for each branch. Then ask the same branch questions again on different days, on the same engines. Compare the branch you changed with a branch you did not change. If both move, the cause may be something other than your edit, such as a change in the engine.
One appearance is not a lasting gain. Treat a change as working only when the branch keeps appearing for the same questions over several checks.
The limits of branch-level tracking
The guide does not rank tools, and it does not promise a place in any answer. Distance to the person asking is outside your control. Google's statements describe Google Search and Google's own models, and how ChatGPT chooses local businesses beyond its Business Hub is not covered here. The general effect of review sites and other third-party sources on AI citations is a separate topic. Nothing here is medical, legal or advertising advice for clinics.
Frequently asked questions
Can Maya AI track multi-location brands by location?
Maya's published pages describe two pieces. Prompt Management organizes a repeatable prompt set around products, categories and markets, and the local business service can start from a Google Maps listing. A per-branch report or a direct Google Business Profile integration is not described on those pages, so ask the Maya team how to set up several locations.
Local aesthetic clinics in AI search: GEO or local SEO?
Both, and they overlap. Local SEO work on profiles and location pages stays the base, and Google says the usual SEO practices remain relevant for its AI features. GEO adds reading the answers themselves: which clinic is named, which source is cited and what the answer says about your treatments.
Local businesses in Google AI Overviews: which structured data is official?
Google says no special schema.org markup is needed to appear in AI Overviews or AI Mode. Its LocalBusiness structured data documentation covers Search and Maps features, such as the knowledge panel, rather than AI answers.
Can a hotel or clinic claim its business in ChatGPT?
Possibly, through ChatGPT Business Hub. Early walkthroughs cited in Maya's Business Hub guide report that only US businesses with a physical address can claim a profile at the moment. Check with your own account before you plan around it.
Conclusion: each branch earns its own place in the answer
A brand does not appear in local AI answers as one block. Each clinic, hotel or store is found through its own profile, its own page and what customers write about it, and the fix for a missing branch sits in one of those places.
If you want to see which questions your business appears in and which businesses are recommended instead, start with Maya's local business check. For a chain, ask the Maya team how Prompt Management can hold each branch's questions as a repeatable set you compare over time.
Sources
- Google Search Central, AI features and your website: https://developers.google.com/search/docs/appearance/ai-features
- Google Business Profile Help, Tips to improve your local ranking on Google: https://support.google.com/business/answer/7091
- Google Business Profile Help, Guidelines for representing your business on Google: https://support.google.com/business/answer/3038177
- Google Search Central, Local business (LocalBusiness) structured data: https://developers.google.com/search/docs/appearance/structured-data/local-business
- Google AI for Developers, Grounding with Google Maps: https://ai.google.dev/gemini-api/docs/maps-grounding
- Maya, ChatGPT Business Hub: What It Is and How to Claim Your Business: https://withmaya.ai/blog/chatgpt-business-hub-guide
- Maya, AI visibility for local businesses: https://withmaya.ai/local-business
- Maya product pages: Prompt Management, Source Analysis

Founder of Maya. Writes about where brand discovery is heading as AI assistants replace the search box.