Why your Google reviews matter more now that customers ask AI instead of friends

A customer used to handle this by texting a neighbor or scrolling Google until a name felt familiar. Now a lot of them open a chatbot or an AI search box and type a question like who is the best plumber in Canton. The answer that comes back is not a person's opinion. It is assembled, in large part, from the Google reviews and Business Profile details that customers have submitted about local businesses, including yours.

The shift is real and it is fast

BrightLocal's Local Consumer Review Survey found that the share of consumers using AI tools for local business recommendations climbed from 6 percent in 2025 to 45 percent a year later. BrightLocal also reports that AI has outpaced Yelp and TripAdvisor as a recommendation channel for local consumers, landing third behind only Google and Facebook. Adults aged 30 to 44 lead the way, with 64 percent having asked an AI tool for a business recommendation in the past year.

SOCi's 2026 Local Discovery Index, an annual consumer survey now in its third year, shows the same curve. The share who used an AI tool to find a local business in the previous 30 days rose from 9 percent in 2025 to 52 percent in 2026. SOCi describes the behavior as a loop rather than a funnel: people discover a business on one channel, verify it on another, and decide on a third, often within the same few minutes. Search Engine Land's coverage of that study notes that usage and trust are moving in opposite directions, since the more people rely on AI, the more they double-check it against search and social.

How the assistant builds its answer

It helps to know roughly what happens after someone types the question. AIOInsights, walking through documented behavior from Google and Anthropic, describes a sequence. First the assistant decides whether to search at all, and questions about specific organizations or current local information trigger a search. Then it writes its own search queries rather than using the customer's exact words, and a search system returns a short list of pages and data sources.

For local questions, one of those data sources is your Google Business Profile. Google has stated that its AI snapshot for local and travel searches brings together information from across the web and from the reviews, photos and Business Profile details people have submitted to Google for more than 200 million places. Search Engine Land confirmed this in practice, showing a query about a specific business returning photos pulled straight from that company's Business Profile listing. Gemini and Google's AI experiences in Search can use Google Search grounding and a technique Google calls query fan-out, which issues multiple related searches across subtopics and data sources.

ChatGPT works differently but lands in a similar place. Darby.ai's breakdown of source selection notes that OpenAI uses a crawler called OAI-SearchBot to surface websites in ChatGPT's search features, and that allowing a crawler creates eligibility for citation, not a guaranteed one. The same page makes a point worth writing down: a specific business profile, client review or local source can beat a broadly authoritative publication for a regional question. Your reviews are exactly that kind of source.

Which review habits actually matter

Recency matters. An assistant answering a question about a Canton plumber today leans toward material that looks current, and a review written last week reads differently than one from three years ago. Volume matters too, because more reviews mean more raw text the assistant can draw on when it summarizes what customers say about you. The specific words in those reviews matter as well. If customers keep mentioning that you show up on time or explain the repair before starting, those are the phrases an assistant can pick up and repeat in its own summary.

Owner responses matter in a quieter way. A thoughtful reply to a review shows anyone reading it, human or model, that a real person stands behind the business and pays attention. It also adds accurate, current information in your own words, which is the kind of text an assistant can draw from. Photos on your profile work the same way, since Google has confirmed they feed directly into the AI snapshot. And a complete profile, accurate hours, services, service area and phone number, gives the assistant correct facts instead of gaps it has to fill from elsewhere.

One caution belongs here. BrightLocal found that 88 percent of consumers fact-check the reviews that AI tools cite. A glowing AI answer does not end the customer's research, and SOCi's data shows people verify on search and social before committing. Cross-channel consistency is the practical takeaway: what an assistant says about you should match what a shopper finds when they check your profile directly.

What to do about it

None of this requires special software. It takes a claimed Google Business Profile, a habit of asking for reviews at the right moments, and replies that add real information in your own words. The routine is the same whether a customer finds you through a friend, a search result, or an assistant that quotes your reviews back to them.

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