AI Search for Local Businesses

AI search for local businesses describes the change in how customers look for nearby shops, restaurants, clinics and trades now that AI search sits inside the tools they already use. A year ago it was a curiosity. In 2026 roughly half of consumers in two separate surveys report asking an AI tool for a local recommendation. This page is about the demand side: who is asking, which assistants they use, how far they trust the answer and what they do next. The question of how a business gets named in those answers is treated separately under generative engine optimization for local businesses.

How Many Customers Search This Way

The background rate of AI use is high. Pew Research (June 2026, n=5,119) found 49% of US adults use AI chatbots and 24% use them daily, with ChatGPT at 44% and Gemini at 24%; 60% said they read AI summaries in search results. Local use has followed. SOCi's Local Discovery Index (September 2026) reported that 52% of consumers had used an AI tool to find a local business in the previous 30 days, against 9% in 2025. BrightLocal's Local Consumer Review Survey (February 2026, n=1,002) put use of ChatGPT and other generative AI for local recommendations at 45%, up from 6%, and ranked AI tools third as a recommendation source behind Google and Facebook.

The two BrightLocal figures come from differently worded questions and are not a clean trend line, and both surveys are published by companies that sell local marketing software. The direction is not in doubt. The exact slope is.

Which Assistants They Ask

Among 455 active AI users surveyed by BrightLocal in March 2026, ChatGPT was used for business recommendations by 31% and Google AI Mode by 23%. Google reported at its I/O conference in May 2026 that AI Mode had passed one billion monthly users with queries more than doubling every quarter, and since January 2026 the “Show more” control on an AI Overview opens AI Mode, so a growing share of ordinary Google searches now leads into a conversational answer.

The distinction matters to a business because the two families of assistant see different things. Google's surfaces can use Google's own business listings. ChatGPT and similar assistants cannot read that data and rely on websites, directories and review platforms instead. A customer asking the same question in two apps may be drawing on two largely separate bodies of evidence, and research across platforms finds little overlap in the sources different AI engines cite.

Trust, Errors and the Verification Loop

Customers use these tools without fully believing them. In BrightLocal's February survey 40% of consumers said they trust AI platforms for business recommendations; among active AI users the figure was 63%. SOCi found 67% of AI users had received wrong information about a local business at least once, and for 30% the error caused a real inconvenience.

The response is to check. According to SOCi, 81% verify an AI recommendation before contacting the business and only 19% go straight to contact. A third check reviews, 20% look at the business's social media, 16% run an independent search to confirm details and 12% consult multiple sources. SOCi names this the verification loop. Its implication is that an AI recommendation behaves less like a final answer and more like a referral that still has to be confirmed, usually on the Google Business Profile, a review site or a social account.

A Shorter Shelf

Classic local search showed a map and three businesses with more one tap away. AI results show fewer. Sterling Sky (June 2026) documented AI local packs on Google that list one or two businesses instead of three and carry no call button; at the time they appeared only on mobile in the United States, on about 7% of tracked keywords. Across 322 markets these packs featured 5,943 unique businesses where regular 3-packs featured 18,330, and they often featured different businesses from the 3-pack.

Assistants are narrower still. SOCi's January 2026 study of multi-location brands found ChatGPT recommending 1.2% of brand locations against a 35.9% appearance rate in Google's 3-pack. That measurement covers chains only. For independent businesses there is no equivalent public figure, and vertical-specific data on how customers of particular trades use AI is thin; the surveys above report consumers in aggregate.

What Changes for the Business

Three things follow from the demand-side data. Enquiries may arrive from customers who never saw a map or a list of competitors, having been handed a single name. Customers may arrive with a wrong fact supplied by the assistant, which makes a quick audit of what the main assistants say about the business worth doing. And because most customers verify, the listing, the reviews and the social accounts still close the sale; they have moved from the first step to the second. The AI packs' missing call button also suggests fewer direct calls from the results page, though no published data yet measures that effect.