AI assistants and Google Maps often recommend different local businesses for the same search. In a study of 120 AI answers across five engines, 79.4% of the 558 businesses AI recommended did not appear in Google's top 20 map results for the same search (Orkkid, 7 October 2026). The sample is small and the data is a single snapshot, so treat it as directional, but the gap is too large to ignore.
The short explanation: Google Maps ranks listings, while AI assistants assemble answers from what the web says about a business. Those are different inputs, so they produce different winners.
What did the study find?
Orkkid, an SEO and GEO agency, asked ChatGPT, Perplexity, Gemini, Claude and Google AI Mode one "best" question for three trades (moving companies, wedding photographers and solar installers) in eight cities: Denver, Austin, Phoenix, Charlotte, Seattle, Tampa, London and Toronto. All answers were collected on 7 October 2026. The researchers then matched every recommended business against the top 20 Google Maps results for the same trade and city, 480 listings in total.
AI and Maps barely overlap. Only 20.6% of AI-recommended businesses were in the Maps top 20. Looked at the other way, 25.4% of Maps top-20 businesses were named by at least one AI.
The engines disagree with each other too. 71% of named businesses were recommended by only one AI, and just five businesses were named by all five. Any two engines' shortlists overlapped by 17% on average, from 26% for ChatGPT and Claude down to 8% for Perplexity and Google AI Mode.
Review volume mattered most. Among Maps top-20 businesses, those with fewer than 50 Google reviews were named by AI 12.2% of the time. Those with 500 or more were named 54.8% of the time.
A perfect rating did not help. Businesses with a 5.0 average were named 19% of the time, against 45% for those rated 4.8 to 4.99.
Map position helped only a little. Top-three map spots were named 37.5% of the time, spots 4 to 10 were named 24.4%, and spots 11 to 20 were named 22.5%. Businesses in spots 11 to 20 with 500+ reviews were named about twice as often (47.4%) as top-three businesses with fewer than 50 reviews (23.1%).
Review sites were the biggest source. Industry review sites made up 39.6% of the 613 citations, ahead of business websites (16%), best-of lists (11.7%) and media (11.3%).
The authors are clear about the limits: one run per prompt and engine, one Maps search location per city, three industries, and correlations rather than proof of cause. Review volume, for example, also tracks how big and established a business is.
Why do AI picks differ from Google Maps?
Because the two systems are built differently.
Google Maps ranks on relevance, distance and prominence. Google's own Business Profile help page says local results are mainly based on how well a profile matches the search, how far the business is from the searcher, and how well known it is. It adds that more reviews and positive ratings can help local ranking, and that there is no way to pay for a better local ranking. Proximity to the searcher is a hard, structural factor.
AI assistants read the web, not just the map. An assistant answering "best movers in Denver" usually searches the web and summarizes what it finds: trade review sites, best-of lists, local press, forum threads and business websites. A business that appears across many of those sources gets named, wherever its pin sits. Our breakdown of where AI gets its answers shows how source pools differ by engine.
Distance matters less to a chat assistant. In the study, the four chat assistants ran with web search on and no location set. A real user's assistant may know roughly where they are, but it does not rank by distance the way a map does.
A perfect 5.0 can look thin. The lower naming rate for perfect ratings fits a common pattern: a perfect score often means few reviews. Engines that summarize third-party opinion have less to work with.
Every engine has its own sources. A 17% average overlap between engines means there is no single "AI ranking." Each assistant is effectively running its own research.
Does this mean Google Maps no longer matters?
No. Your Google Business Profile still drives your map ranking, and it is a source AI engines read too. The point is that a strong map ranking is no longer the whole picture. A business can rank third on Maps and be absent from AI answers, or sit 15th and be the business ChatGPT names first.
It also means map rankings are a poor proxy for AI visibility. You need to check AI answers directly. Our guide to local business AI visibility covers the fundamentals of getting recommended.
What can local businesses do about it?
1. Build review volume, steadily. In this data, review count was the strongest signal. Ask every happy customer, on Google and on the review sites that matter in your trade. A steady flow beats a burst. Our piece on reviews and AI visibility goes deeper on why.
2. Get listed where your trade is reviewed. Industry review sites were the largest source of citations. Find the two or three platforms that dominate your trade and city, claim your profiles, and keep details consistent with your Google Business Profile.
3. Earn a place on best-of lists and in local press. These made up more than a fifth of citations combined. They are the sources engines pull from when they build a shortlist.
4. Make your website answer the questions buyers ask. Business websites were 16% of citations. Clear service pages, service areas, pricing guidance and FAQs give engines something specific to quote. In the study, LocalBusiness schema was more common on named sites (71.3% vs 62.1%), while llms.txt made almost no difference (29.8% vs 28.8%).
5. Check each AI engine separately, more than once. With 71% of named businesses appearing in only one engine, your result on ChatGPT says little about Gemini or AI Mode. And because this study was a single run, a repeat run could differ. We explain why in AI answers change every few days.
How Diploria helps local businesses
Diploria tracks 12 AI surfaces separately, including ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode, with markets set by location, so you can see which engines name you for prompts like "best movers in Denver" and which name a competitor instead.
Citation Scan classifies the sources each engine cites by site and page type, which shows you exactly which review platforms, directories, lists and local publications are feeding the answers in your market. That turns "get more citations" into a specific list of places to be.
Question Radar surfaces the questions real customers ask, from Reddit threads, AI fan-out queries and keyword data, so you can build the service pages and FAQs that engines quote.
To see where you stand today, the free AI visibility checker tests your business across five engines in about 60 seconds, no signup needed.