How to Audit a Local Business's Visibility Across Google, ChatGPT, Apple Maps, Bing and Waze
To audit a local business's visibility, check two things for every platform: whether its listing is claimed and correct, and whether it appears when nearby customers ask. For Google, Apple Maps, Bing and Waze, that means the business listing and a search from inside your area. For ChatGPT, Gemini, Perplexity, Claude and Google's AI results, it means asking 15–25 real customer questions several times each and recording who gets recommended and which sources are cited. Then fix listings first, reviews and website pages second.
Where does each platform get its local business data?
Each platform draws on different sources, which is why a business can do well on one and be missing on another:
| Platform | Main business data sources | What you control directly |
|---|---|---|
| Google Search, Maps, AI Overviews, AI Mode | Google Business Profile, reviews, the wider web | Your Business Profile, website, review responses |
| Gemini | Google Search and Google Maps data | Same as Google |
| ChatGPT | Web search results; OpenAI says it may share your location with trusted third-party providers to supply local information such as nearby business listings | Your website, listings on directories and review sites |
| Perplexity and Claude | Web search results: directories, review sites, local articles, business websites | Your website and third-party listings |
| Apple Maps, Siri, Spotlight | Apple's own place data; businesses manage place cards through Apple Business | Your Apple Business place card |
| Bing, Bing Maps, Copilot | Bing Places for Business, plus Bing's web index | Your Bing Places listing |
| Waze | Data from Waze users, Google and other partners, plus community map editors | Mostly indirect: Google data and Waze edits |
A few facts worth knowing:
- Google's local ranking is based on relevance, distance and prominence, according to Google's own guidance for Business Profiles. Prominence includes reviews and how well known the business is across the web.
- Apple Business, available free since April 14, 2026, replaced the brand and location tools of Apple Business Connect. It controls place cards across Apple Maps, Safari and Spotlight, and Apple has announced ads in Maps for the U.S. and Canada, clearly marked as ads.
- Bing Places for Business is free and can import listings from Google. Microsoft says it is building deeper integration with Bing Maps and Copilot.
- Waze ranks search results by distance, how well a place matches the search, and its prominence and popularity. Paid results are marked as ads.
What should a local business AI visibility audit include?
A complete local audit has seven parts:
- Listings baseline. Claim status and accuracy on Google Business Profile, Apple Business, Bing Places and the directories that matter for your trade. Check that the name, address, phone number, hours, categories and services are identical everywhere.
- Map app searches. Search your main category terms in Google Maps, Apple Maps, Bing Maps and Waze from inside your service area, on a phone. Note where you appear and who appears above you.
- AI questions. 15–25 questions customers really ask, run three to five times each in ChatGPT, Gemini, Perplexity, Claude and Google's AI results.
- Sources. Which directories, review sites, local articles and websites the AI answers cite, and whether you appear on them.
- Reviews. Count, rating, recency, and whether reviews mention the specific services people ask about.
- Website. A page for each main service, clear location and service area, hours, prices where possible, and structured data that matches the visible page.
- Findings. Each gap with its evidence, the questions it affects, and a priority.
For a single location this takes one to two days the first time and a few hours for each re-run. The general audit template is in what a GEO audit should include.
How do you test from inside your area?
Location is the biggest source of error in local audits. AI engines and map apps use your device location, IP address or account settings, so a check from your office or from another city can give a different picture from what customers see.
- Map apps: search on a phone while physically in the area, or at least with the map centred on the area. Try several points, such as the town centre and the edge of your service area.
- AI engines: test both ways. Ask with the place named ("dog daycare in Headingley, Leeds") and without it ("dog daycare near me") while in the area. The named version is more repeatable; the "near me" version is closer to real use.
- Clean sessions: logged out, or with memory and personalisation off, so your own past searches do not tilt the answers.
Tools that simulate location help at scale, but their precision varies; see whether AI visibility trackers are precise enough for local targeting.
What should you ask AI for your type of business?
Generic questions ("best [category] near me") are a start, but customers usually add conditions: a price, an opening time, a speciality, a type of customer. Build most of your question set around those conditions, because that is where recommendations differ most.
Care, fitness and health: gyms, daycares, dog daycares and audiology practices
- Gyms: "gyms near [area] with a pool", "cheapest gym without a contract in [town]", "gyms good for beginners in [area]". Check that classes, prices and hours come back right.
- Childcare: "daycares in [area] with openings for toddlers", "which daycares in [town] have the best reviews". Licensing and age range errors matter more here than position.
- Dog daycare: "dog daycare in [area] that takes large dogs", "dog daycare with webcams near me".
- Audiology: "where to get hearing aids fitted in [town]", "independent audiologist near me", "who fits [hearing aid brand] in [area]". Watch for engines recommending only national chains, and for wrong claims about brands fitted or insurance accepted.
Home and trade services: remodelers, window cleaners, appliance repair and mobile detailing
- Remodeling: "kitchen remodeling companies in [town]", "who does bathroom remodels under [budget] in [area]". Compare your name against the two or three rivals customers mention most.
- Window cleaning: "window cleaners for three-storey houses in [area]", "commercial window cleaning [town]".
- Appliance repair: ask service-specific questions, such as "dishwasher repair in [town]" in Perplexity and the other engines, not just "appliance repair". Engines often recommend a business for the services its pages and reviews name explicitly.
- Mobile detailing: "mobile car detailing that comes to you in [area]", "ceramic coating near [area]". Service-area businesses without a storefront often depend more on directories and reviews than on map listings.
Food, drink and hospitality: bakeries, bars, distillery tastings and B&Bs
- Bakeries: "gluten-free bakery in [town]", "where to order a gluten-free birthday cake near me". Count how often you are named compared with competitors, and check whether the engine states your gluten-free claims correctly.
- Bars: "bars with live music in [area] on Fridays", "quiet bar for a date in [town]".
- Distilleries: "bourbon tasting tours near [town]", "distillery tours that take walk-ins near [area]". Check tour times, prices and booking rules, which change often.
- Bed and breakfasts: "dog-friendly B&B near [landmark]", "B&B with parking in [town]", across ChatGPT, Perplexity, Gemini, Claude and Google's AI Overviews. Travel answers lean heavily on booking and review sites, so check your listings there.
Local retail: bookstores, board game stores and hardware stores
- Bookstores: "independent bookstore near me that has [genre or title]", "where can I buy signed books in [town]". Most AI engines do not see a small shop's live stock. Google is the partial exception: if you connect your point-of-sale system or upload a local inventory feed to Google Merchant Center, in-store products can appear as free local listings on Search and Maps, so test product-level questions in Google's AI results after setting it up. Elsewhere, engines rely on what your site and listings say you stock, so describe your specialities in text.
- Board game stores: "board game store with a play space in [town]", "where to play Magic: The Gathering on Fridays near me", "board game cafe for groups in [area]".
- Hardware stores: "hardware store open Sunday near [area]", "where to get keys cut in [town]", "shop that sells [specific item] near me". Independent stores compete with chains here; specific services and stock are the usual way in.
Property: real estate agents and apartment rentals
- Realtors: "best real estate agents in [neighbourhood]", "realtor who specialises in first-time buyers in [town]". Check which listing portals and review sites the answers cite.
- Apartment rentals: "pet-friendly apartments in [area] under [rent]", "apartments near [university] with parking". Property managers should check each building by name as well as the management company, and watch for outdated rents and amenities.
Multi-location and specialist businesses: franchises, dealerships and studios
- Franchises: ask for each location's area separately and compare against the nearest independent competitors, not just other franchises. Check that answers point to the right location page and phone number.
- Agricultural equipment dealers: "[brand] dealer near [town]", "who services [equipment type] in [county]", "used tractor dealers in [region]". Engines often lean on manufacturer dealer locators, so make sure you are listed there correctly.
- Recording studios: "recording studios for indie bands in [city]", "affordable mixing and mastering studios near me", in Perplexity and the others. Credits, rates and genres stated on your site help engines match you to the question.
Why add AI recommendation tracking to your existing Maps reporting?
Keep your map rankings reporting; it still covers the biggest local channel. Add an AI layer because it measures something the map grid does not:
- AI answers name only a handful of businesses and describe them, so being named with the right detail matters more than rank position.
- They answer longer questions with conditions, such as open late, takes walk-ins or gluten-free, which map rankings do not track.
- They draw on sources beyond your Business Profile: directories, review sites, local articles and your own pages.
- They can state wrong facts, such as old hours or services you stopped offering, which map rankings never reveal.
A simple combined report: map rank grid for your top category terms, plus a table of your AI questions showing "named in X of N runs" per engine and the main competitors named. For deciding whether it is worth paying for, see when a local business should buy AI visibility tracking instead of more Google Ads.
How do you measure whether AI visibility is improving month to month?
Honest month-to-month measurement needs the same method each time:
- the same questions, word for word;
- the same engines and modes, and the same testing location;
- the same number of runs per question, ideally five;
- a note of what you changed during the month, such as new reviews, a new service page or a fixed listing.
Report counts, not just percentages: "named in 9 of 25 answers, up from 5 of 25". With samples this small, even that jump can be chance: each figure has a margin of roughly ±16–19 points, so at 25 answers a change needs to be about six or seven answers before it is likely to be real. Look for movement that holds over two or three months or across many questions. Account for season: B&Bs, tours, bars and outdoor services often see answers shift with the time of year as review activity and local articles change.
If you pay someone to measure this, ask to see the answers behind each number. That is the only way to check the measurement is honest.
What should you do when a competitor opens nearby?
A new competitor usually shows up in map results within weeks and in AI answers more slowly, as reviews and mentions build up. To stay ahead:
- Add them to your tracking and run your question set weekly for the first two months.
- Watch their listings: categories, services and hours, to see which questions they are targeting.
- Watch review activity on both businesses. A burst of new reviews for them is the most common reason they start appearing in answers.
- Strengthen your specifics: services, specialities, hours and prices stated clearly on your site and listings, and a steady flow of honest reviews from every customer.
- Check the cited sources: if a local article or directory starts listing them, make sure you are on it too.
Do not respond by changing your business name or stuffing listings with keywords; that risks suspension and confuses engines about who you are.
What should you fix first?
Most local audits end with the same order of fixes:
- Wrong or missing listing facts on Google, Apple, Bing and key directories.
- Unclaimed listings, especially Apple Business and Bing Places, which many businesses have never claimed.
- Service pages for each main service and area, stating specifics in plain text.
- Reviews, with a steady routine of asking customers and replying.
- Presence on the directories and local sites that AI answers cite for your trade.
More on the review platforms in how local businesses can use Angi, Yelp and Thumbtack.
What do people ask about local AI visibility audits?
How visible is a typical local business in ChatGPT compared with Google?
It varies a lot by trade and town. Businesses that rank well in Google Maps are often, but not always, named in AI answers; the gaps usually come from missing directory listings, thin service pages or few reviews that mention specific services.
Do I need to claim my Apple Maps and Bing listings?
Yes. Both are free, take little time, and feed Siri, Apple Maps, Bing and Copilot. Unclaimed listings are more likely to have wrong hours or details.
Can I control how Waze shows my business?
Only partly. Waze uses data from its users, Google and partners, so a correct Google Business Profile and accurate map edits are the main levers.
How often should a local business run this audit?
A full audit once or twice a year, and the AI question set monthly or quarterly. Re-run straight away after moving, changing hours or adding a service.
Published by The Kovmere Team · updated Sep 28, 2026 · More resources