That is an awkward collection of filters. It is an easy question to ask an AI assistant:
“Find a quiet restaurant near Dubai Marina for six people, with vegetarian options and a kitchen open after 10 p.m.”
The assistant suggests a few places and explains why they fit. One friend opens Google Maps to check the distance. Another reads recent reviews for mentions of loud music. Someone opens the menu and tries to reserve a table.
Your restaurant could appear at the first step and lose the group at the next. It could also have an excellent Maps profile and never enter their initial shortlist.
AI search for local businesses spans several services: ChatGPT Search, Google Search’s AI features, Google Maps, Gemini, Perplexity, and Claude with web search. To understand your visibility, check both whether these services recommend the right location and whether customers can confirm the recommendation and take the next step.
This guide explains the different experiences, the customer needs to test, and the information a business owner should inspect. We will follow an illustrative dinner scenario through the guide.
You may see work on visibility in AI search described as GEO (generative engine optimization) or AEO (answer engine optimization). These are overlapping industry terms. In this guide, AI visibility means whether the right location appears for a customer need, with accurate information that helps the customer choose it.
AI can create the shortlist before a customer opens the map
Local discovery involves several decisions: which places might fit, which one seems dependable, whether it is practical to visit, and how to book or contact it.
An AI conversation can handle the first decision by combining requirements that a customer would otherwise research separately. A map makes distance and access easier to assess. Reviews help someone judge the experience. A website or booking platform supplies the current offer and the route to purchase.
The order varies. A customer can start in Maps, ask an assistant to compare two places, then return to a booking page.
That handoff also affects attribution. A customer who first heard about you from ChatGPT can reach your site through Google or book directly in another app. Website referral data records the visit it can observe; it cannot reconstruct every earlier step. Alongside tracking bookings and enquiries, ask customers where they first heard about the business.
For owners, this creates two connected jobs:
- Enter the shortlist: appear for customer needs your location genuinely serves.
- Support the decision: make it easy to confirm the service, location, hours, price, and booking details.
A wrong phone number affects the second job. An absent service description can leave a customer without a reason to consider you in the first place. Both deserve attention, and they require different fixes.
The main AI services to check for local discovery
The product and search mode matter. “Google” can mean a Maps listing, an AI Overview in Search, an AI Mode conversation, or the Gemini app. Record the experience you actually checked.
| Service or experience | Customer task to test | What to inspect for your location |
|---|---|---|
| ChatGPT Search | Ask for a shortlist that satisfies several requirements, then refine it | Correct branch, stated reasons, cited sources, practical details |
| Google Search: AI Mode | Ask a detailed local question and compare options through follow-up questions | Recommended places, business cards, facts, links and next actions |
| Google Search: AI Overviews | Search a relevant question and inspect an AI summary when one appears | Whether a summary appears, whether it names your business, supporting links |
| Google Maps: Ask Maps | Describe the kind of place wanted within the Maps experience | Place identity, map location, attributes, review context and visit or booking route |
| Gemini app | Ask for places that fit a plan or set of preferences | Recommended locations, supporting information and destination links |
| Perplexity | Research and compare places while inspecting sources | Business mentions, cited pages, current details and any booking options |
| Claude with web search | Describe a detailed need and ask for a researched comparison | Whether search ran, which businesses appeared and what the sources support |
Feature availability and integrations differ by country, language, account, and device. Choose the experiences customers in your market can use and record those conditions with your results.
Treat each answer as a starting point. Verify current hours, service details, and booking availability with the business before relying on a recommendation.
ChatGPT Search: check the shortlist and the reasons behind it
ChatGPT gives customers a conversational way to describe what they need. They can ask for a restaurant, salon, gym, or other local business, then add conditions without starting the search over.
For our dinner example, a useful follow-up might be:
“Which of these places serves full meals after 10 p.m., rather than just keeping the bar open?”
That distinction can decide whether the recommendation is useful. A business closing at midnight does not necessarily have a kitchen serving until midnight.
When checking ChatGPT, use Search for a current, web-sourced audit and save the answer with its citations. Inspect whether it recommends your specific branch, describes the relevant service correctly, and gives the customer a working next step.
Read the sources behind a claim. If an answer states your kitchen closes early, find the page that supplies that time before deciding what to change.
Make the area explicit in your test. “Near me” depends on location context; “near Dubai Marina” gives you a clearer starting point for repeated checks.
What to check for your business: the correct location, its fit for the request, the stated reasons to choose it, and the pages supporting those reasons. Our guide to why ChatGPT recommends competitors explains how to investigate a missing recommendation.
Google Search: distinguish AI Mode from AI Overviews
Google Search has more than one AI experience, and each belongs in its own measurement record.
AI Mode supports detailed questions and follow-ups. Google describes local place cards with information such as ratings, reviews, and opening hours, plus actions that help someone explore a business or get directions. Google’s description of local results in AI Mode
In supported markets, AI Mode can also check dining reservation availability. Check Google’s current availability guidance before adding that booking step to your audit; availability of AI Mode itself does not establish availability of every feature.
For the restaurant, check both the recommendation and the information attached to the place. Does the card identify the correct branch? Does its destination link help the group check the menu and book?
AI Overviews are summaries that can appear within Google Search results. Record whether one appears for the query before counting whether it includes your business. “No AI Overview appeared” is a separate outcome from “an Overview appeared and recommended other places.”
A strong map position also does not establish what happened in either AI experience. Your existing local SEO report and your saved AI answers answer different questions. Our local SEO vs. GEO guide shows how to use both.
What to check for your business: Search visibility, AI Mode recommendations, and AI Overview appearances as separate observations. Within each, inspect the correct branch, facts, and destination links.
Google Maps and Ask Maps: the search can happen inside the map
Maps remains a practical place to check where a business is, when it is open, what it looks like, and how to get there. It can be the starting point for discovery or the place a customer visits after receiving an AI recommendation.
Ask Maps adds conversational discovery within Google Maps. Google describes requests such as finding a restaurant with a good atmosphere that is quiet enough for conversation, alongside capabilities for taking further actions in supported markets. Google’s Ask Maps update
This is a useful reminder that “AI search” can happen inside an app a customer already uses to navigate.
Inspect the actual location profile. Useful photos, an accessible menu, accurate hours, and a booking link for that branch help a diner make the decision.
Read the review text as customer feedback, too. If recent guests repeatedly describe loud music, that matters to a person looking for conversation. Check whether your quieter seating area exists, when it is available, and whether your public information explains it accurately.
What to check for your business: the map pin, current profile, customer feedback, and practical visit details. Record ordinary Maps results separately from Ask Maps answers.
Gemini: keep the app’s answers separate from other Google experiences
Gemini is also a customer-facing assistant. Someone can ask it to find a restaurant, compare nearby gyms, or suggest places for an afternoon out. Google’s guide to finding places in Gemini explains how it uses public Maps information and links to place details.
For a business owner, the important distinction is where the answer appeared. A Gemini app response, an AI Mode result, and an Ask Maps answer are different observations, even though they belong to Google’s broader AI ecosystem.
Try a question that reflects the decision your customer needs to make:
“Suggest three restaurants near Dubai Marina for a late dinner with vegetarian friends. Explain which is most suitable for a quiet conversation.”
Inspect the options and their descriptions. Does the answer name the right branch? Does it explain the vegetarian offering accurately? If it supplies a map or website link, does that link lead to the place being described?
Keep the language and geographic context in your record, including different customer languages where relevant to the branch.
What to check for your business: the Gemini app answer itself, its supporting information, and the correct branch. A result on another Google product does not substitute for this check.
Perplexity: inspect the sources and the route to booking
Perplexity presents answers with sources, giving a customer a route to inspect the information behind a recommendation. For a local business audit, those pages provide concrete material to review.
Ask for an option and the evidence a customer would need:
“Which restaurants near Dubai Marina serve vegetarian main courses after 10 p.m.? Show the sources for kitchen hours and menus.”
Open the links. Does a source describe the current menu? Does it cover the correct branch? Is the late closing time for the kitchen or the venue?
For restaurants, discovery can also connect to reservations. OpenTable describes an integration through which diners can see restaurants and available reservation times in Perplexity and select a reservation. The useful booking experience depends on the restaurants and availability covered by that integration. OpenTable’s description of its Perplexity integration
What to check for your business: whether the location is recommended, what the cited pages say, and whether any displayed booking path reflects the right venue and offer. Start your source work with the pages that recur in relevant answers.
Claude with web search: check detailed customer requests
Claude can also research local options using web search. Anthropic explicitly describes local results as a use case that can benefit from approximate location information. Anthropic’s explanation of location use
For your audit, name the area and ask it to search. Save whether web search ran, the recommended businesses, the descriptions, and the cited sources. Then check that the information supports the requirements in the prompt.
If Claude recommends your clinic but links to another branch’s service page, record the mismatch. The brand appeared, but the customer still needs accurate information about the location they can visit.
What to check for your business: relevant searched answers and the accuracy of their branch-level information. Include Claude when it matches how your customers or prospective customers research providers.
Other experiences worth adding when your customers use them
Microsoft Copilot, Siri, and Apple Maps deserve consideration when they fit your market. Ask customers how they found you, look at referral information where available, and use those signals to expand your checks.
For voice discovery, record the product and the answer it actually gives. A spoken response, a Maps listing, and an answer handed to another service are different stages to inspect. Test that the customer can move from the recommended name to the correct address, phone number, or appointment page.
Social platforms belong in the wider journey as well. Someone can discover a venue in an Instagram or TikTok video, then use AI to compare it with alternatives and Maps to check the trip. Keep useful photos, service information, and destination links consistent across the profiles customers visit.
Why your business can appear in one service and miss another
A recommendation depends on the question, the local context, the information available in that experience, and the way the product presents its answer. Different services can produce different shortlists.
Treat that variation as a diagnostic opportunity. If your branch appears for a general haircut question but disappears when someone asks for a curly-hair consultation, inspect the public description of that service. If an answer recommends another branch of your chain, examine location identity and links. If it cites an outdated menu, start with that page.
Read reviews for useful details and recurring customer concerns. A star average cannot tell a diner whether the music is loud or whether vegetarian guests have a full choice of mains. Those details deserve clear, accurate descriptions wherever a customer evaluates the branch. Invite honest feedback in customers’ own words.
Exact recommendation weights are private. You can still identify observable gaps: an inaccessible page, missing service detail, an incorrect profile, an outdated source, or a broken booking path. Each gives your team a specific task.
A correct recommendation still needs a convincing next step
Return to the group planning dinner. Imagine your restaurant makes the shortlist, but the menu link opens a PDF from two years ago. The booking page selects a branch across town. Recent reviews mention that the kitchen closes before the time stated on your site.
The group has reasons to choose somewhere else.
This is why your audit should follow the recommendation through to the visit or booking. For each location, ask:
- Can someone confirm that this branch provides the requested service?
- Do the hours distinguish venue opening, service availability, and any booking cutoff?
- Are the address, prices, menu or service list, and phone number current?
- Does the next action lead to the correct location?
Correcting these problems has a direct customer benefit. It also gives you a clear completion check: open the published page, verify the facts, and test the link.
Choose your first platforms and run a small audit
Start with one location and five customer questions. Choose questions from real calls, bookings, front-desk conversations, and services you want that branch to grow.
For example, a restaurant can check a late dinner, a group booking, and a dietary requirement. A salon can check a specific treatment and an evening appointment. A clinic can check whether its branch is accurately described for a service it actually offers.
As a starting recommendation, keep Google Maps as your local profile baseline and check ChatGPT Search plus one additional AI experience relevant to your customers. Add AI Mode, Ask Maps, Gemini, Perplexity, or Claude according to availability and customer signals. Expand once the first checks produce work you can act on.
For each answer, save the question, date, platform and mode, area, language, recommended businesses, and source links. Record recommendations and citations separately: an assistant can name a business without citing its own website, and cite a website without recommending the business as a place to visit.
Repeat the checks on another day. Then choose a small number of tasks based on what you actually found:
| Finding | Next action |
|---|---|
| The right branch appears with an old phone number | Correct the relevant source and verify the live contact details |
| A genuine service is missing from your location page | Describe the service, its availability, and how to book it |
| The answer links to another branch | Clarify the location information and correct destination links |
| A relevant source describes nearby alternatives but omits you | Review its scope and submission route; request consideration with useful facts |
| The recommendation is accurate, but booking fails | Repair the booking path and test it from the customer’s starting point |
Our AI visibility measurement guide explains how to keep the checks comparable. The 30-day action plan helps you turn the findings into scheduled work.
Make the checks useful for your team
Across several locations, questions, and platforms, screenshots quickly become difficult to manage. Your team needs to see where a branch appears, which competitors appear instead, what information the answers present, and what deserves attention first.
Whereon brings those checks together into location-level reports and a prioritized action plan. Your team or agency makes the changes; repeat checks show how the measured answers change over time.
See whether your location makes the AI shortlist—and what to work on next. Join the Whereon pilot.
Frequently asked questions
Which AI platforms should a local business track first?
Start with the services available in your market and relevant to your customers. A practical initial set is Google Maps for the profile baseline, ChatGPT Search, and one additional AI experience. Use customer conversations and referral signals to decide where to expand.
Are Gemini, Google AI Mode, and Ask Maps the same thing?
They are distinct customer experiences: the Gemini app, conversational search in Google Search, and conversational discovery in Google Maps. Record their answers separately so you can see where your location appears and which details need attention.
Does a high Google Maps ranking mean ChatGPT will recommend my business?
A Maps ranking measures visibility in that experience. Check ChatGPT separately for relevant customer questions, save its recommendations, and inspect the sources. Maintain your Maps profile because it also helps customers evaluate and visit your business.
Can AI search bring customers without a website visit?
A customer can read a recommendation, find the business in Maps, and call or book elsewhere. Website referrals capture only part of that journey. Ask new customers how they found you and record AI-assisted discovery alongside bookings and enquiries.
How do I get my business recommended by AI?
Choose questions your location genuinely satisfies, publish clear service and location information, keep important profiles accurate, and inspect the sources in relevant answers. Turn specific gaps into tasks, then repeat the same checks. Use the result to choose the next improvement.