No. The local 3-pack and the businesses a conversational AI recommends overlap, but they are produced by different systems, from different sources, with very different stability. Google ranks the map pack from Business Profile data using relevance, distance and popularity, and the result is fairly steady from one search to the next. An AI assistant builds an answer by retrieving and reading sources, and depending on the engine those sources are mostly business websites, mostly Google Maps, or a mix with directories and forums.
The practical gap is large: SOCi’s 2026 Local Visibility Index found locations appeared in Google’s local 3-pack 35.9% of the time but were recommended by ChatGPT only 1.2% of the time. A strong map pack position is a real asset, but it does not carry over automatically. SQSEO users who work on local visibility treat the two as related but separate channels, and research the conversational phrasing people use for local questions alongside the classic “service plus city” keywords.
How the local 3-pack is ranked
Google is unusually open about the broad logic of local results. Its Business Profile help says local results are mainly based on relevance, distance and popularity. Relevance is how well a Business Profile matches the search. Distance is how far the business is from the searcher or the location in the query. Popularity, which Google has also called prominence, reflects how well known the business is, including reviews, links and information from across the web.
The inputs are mostly structured: the profile’s categories, name, address, hours, services, attributes, photos and reviews, plus signals about the business from elsewhere. The output is a ranked list of places, and while it varies with the searcher’s exact location, it is reasonably stable for a given query and position. That stability is what made local SEO manageable: you could track a position and see it move.
How conversational AI picks local businesses
An AI assistant answering “who is a good emergency plumber in Leeds” does something different. It turns the question into one or more searches, retrieves sources, reads them, and composes an answer that names a few businesses and cites where the information came from. Which sources it retrieves depends heavily on the engine.
Steady Demand’s research index, which ran 1,487 local service queries across 50 US metros and 10 verticals through Gemini and ChatGPT, classifying 14,472 citations, gives the clearest picture published so far. For Gemini, 59.9% of citations pointed to the business’s own website, 14.4% to social and forum sources, and 10.4% to directories. When the same local intent queries went through Google’s own AI surfaces, the mix split sharply by surface: AI Overviews cited business websites 70.7% of the time, while AI Mode cited Google Maps 79.8% of the time and business websites only 12.8%.
That last contrast is the key to the question. Google’s AI Mode leans on the same Maps data that powers the 3-pack, so its local recommendations are more likely to resemble the pack. AI Overviews and third party assistants lean on business websites and other pages, so their picks can diverge much more.
| Aspect | Google local 3-pack | Google AI Mode (local intent) | AI Overviews and other assistants |
|---|---|---|---|
| Main data source | Business Profile and Maps data | Mostly Google Maps (79.8% of citations) | Mostly business websites (59.9% to 70.7%) |
| Ranking logic | Relevance, distance, popularity | Retrieval plus model selection | Retrieval plus model selection |
| Output | A ranked list of places | A written answer naming a few places | A written answer naming a few places |
| Stability between repeats | Fairly stable | Variable | Variable, top pick often changes |
| Share of locations shown | 35.9% appeared in the 3-pack (SOCi) | Not separately reported | ChatGPT 1.2%, Perplexity 7.4%, Gemini 11% (SOCi) |
| What you control most | Business Profile completeness and reviews | Business Profile and Maps data | Your website, plus mentions on directories and forums |
The gap in numbers
The SOCi index quoted above is the headline figure. Across the brands it analysed, locations appeared in Google’s 3-pack 35.9% of the time, but were recommended 1.2% of the time on ChatGPT, 7.4% on Perplexity and 11% on Gemini. Those are different measurements on different surfaces, so treat the exact ratio with care, but the direction is unambiguous: AI assistants name far fewer businesses per answer than a map pack shows, and they do not simply copy the pack.
The second gap is stability. Steady Demand repeated byte identical queries back to back, hours later and the next day, and describes the classic local pack as roughly ten times more stable than AI answers. Even on an immediate repeat, the best case overlap in cited domains was only about 46%, falling to about 41% after three and a half hours and 38% the next day. The same research summary reports that when the same question is asked minutes apart, the top business named changes most of the time. A single check of an AI answer tells you very little, a point we cover in general terms in why AI tracker reports differ from your own chat window.
Reviews matter in both systems, but not identically. In Steady Demand’s data, businesses recommended by AI averaged 4.75 stars against 4.84 for the plain search baseline, and 97% of AI picks were rated 4.0 or higher. In other words, a good rating looks close to a requirement for being named, but the very highest rated businesses in the baseline were not automatically the ones the AI chose. Other evidence, like what the business’s own site says, carries a lot of weight.
Why the answers diverge
Three structural differences explain most of the gap.
The source is different. The pack is built on profile data that every business can fill in the same structured way. Assistants outside Google’s AI Mode rely mainly on text they can retrieve, which puts much more weight on your website: whether it clearly states your services, service area, credentials, prices or price ranges, and what makes you different. A business with a complete profile and a thin website can rank in the pack and be almost invisible to assistants.
The query is different. People ask assistants longer, more specific questions: “a plumber in Leeds who does weekend callouts and can fix a combi boiler”, not “plumber Leeds”. The assistant looks for evidence that matches each part of that request. A map pack ranks on the category and location; an assistant tries to satisfy the constraints, and only businesses whose pages mention them are strong candidates.
The output is different. A pack shows three places and a link to more. An assistant names a few businesses in prose and often explains why. It has to justify each pick from its sources, so businesses with specific, verifiable information are easier to recommend.
What to do if you rank in the pack but not in AI answers
Keep the Business Profile excellent. It is still the foundation for the pack and the main input for Google’s AI Mode, so categories, services, hours, attributes, photos and review responses all still matter. Steady Demand also found that in 95.5% of cases the cited business domain matched the website listed on the Google Business Profile, so make sure that link points to the right, canonical site.
Make your website say what the profile says, and more. Each core service deserves a clear page or section that states what you do, where you do it and for whom, in plain sentences an assistant can quote. Include the details buyers add to their questions: emergency hours, specialisms, brands serviced, price ranges, languages spoken, accreditation. Assistants recommend what they can substantiate.
Research the conversational questions. The phrasing people use with assistants is longer and more constrained than classic local keywords. SQSEO’s free research surfaces those question shaped variants for a seed like “boiler repair”, which shows which constraints real buyers attach and which details your pages should cover. The approach for local businesses in particular is covered in using ChatGPT for local SEO in 2026.
Earn mentions where assistants look. Directories, local forums and community sites made up a meaningful share of citations in the Steady Demand data. Accurate, consistent listings and genuine discussion of your business in those places give assistants corroborating sources.
Measure repeatedly, not once. Given how much AI answers drift, track a set of local prompts over several runs and days and report how often you are named, rather than screenshotting one answer. For B2B firms with a local component, whether local B2B companies benefit from generative search looks at which prompts are worth tracking.
A quick audit you can run this week
Pick your three most valuable services and write down the way a customer would ask an assistant about each, including one or two constraints, such as a neighbourhood, an urgency or a speciality. Run each question five times in a clean session on two assistants and note which businesses are named and which pages are cited. Then open your own site and check, service by service, whether a single paragraph states what you do, where, for whom and what sets you apart. Where the assistants cite a competitor’s service page and you have no equivalent, you have found your first page to write. Where they cite a directory that lists you with outdated hours or services, you have found your first listing to fix. Repeat the same questions a month later and compare how often you are named.
When the pack still wins
None of this makes the map pack less important today. For high intent searches on a phone, the pack remains the fastest route to a call or a direction request, and it is far more stable than any AI answer. The sensible position is to treat them as two channels with a shared foundation. A complete, well reviewed Business Profile serves the pack and Google’s AI Mode. A specific, well structured website, plus corroborating mentions elsewhere, serves AI Overviews and third party assistants. Businesses that invest in both are covered whichever way their customers search.
Key takeaways
The local 3-pack inside conversational AI is not identical to standard search. The pack is ranked from Business Profile data on relevance, distance and popularity and is fairly stable. AI assistants retrieve and read sources, mostly business websites for Gemini and AI Overviews, mostly Google Maps for AI Mode, and their picks change often between repeats. SOCi measured 35.9% visibility in the 3-pack against 1.2% on ChatGPT, 7.4% on Perplexity and 11% on Gemini. Keep your Business Profile strong, make your website state your services, area and differentiators in quotable sentences, research the longer conversational questions buyers ask, and measure AI visibility over repeated runs. SQSEO’s free research helps with that third step by listing the real local questions around each service.
Frequently asked questions
Is the local 3-pack ranking inside conversational AI identical to standard search?
No. The 3-pack is ranked from Google Business Profile data using relevance, distance and popularity, while AI assistants build answers from retrieved sources such as business websites, Google Maps, directories and forums. SOCi found locations appeared in the 3-pack 35.9% of the time but were recommended by ChatGPT only 1.2% of the time. Research the conversational local questions buyers ask with SQSEO, and make sure your website answers them.
Does Google AI Mode use the same data as the map pack?
It leans heavily on it. Steady Demand found that for local intent queries, 79.8% of AI Mode citations pointed to Google Maps. AI Overviews behaved differently, citing business websites 70.7% of the time.
Why does ChatGPT recommend different local businesses than Google Maps?
Because it does not rank from Business Profile data. It searches, reads sources, and names businesses it can justify from them, which puts heavy weight on what your website says. It also names fewer businesses per answer, and its picks change between repeats.
Do reviews matter for AI recommendations?
Yes, as a threshold. In Steady Demand’s data, 97% of businesses recommended by AI had a rating of 4.0 stars or higher. But the highest rated businesses were not automatically chosen; specific, verifiable information on the business’s own pages mattered too.
How should I track local AI visibility?
Run a fixed set of local prompts several times across days and engines, and record how often your business is named and which sources are cited. AI answers drift far more than the map pack, so single checks are unreliable.
