AI Local Search Errors: 64% of Retailers Affected, What to Do

Your AI Profile Is Wrong 64% of the Time — And Customers Are Reading It

If you run a local business, AI tools like ChatGPT, Gemini, and Perplexity are describing your locations to customers — and they're often wrong. A vendor-run test found that AI returned at least one false fact about 64% of UK high street retailers. For small businesses, the error rate hit 50%. The most common mistake? Wrong postcode, occurring one in ten times. This matters because 45% of consumers now use AI for local recommendations, up from 6% the year before. Your business is being described — not just ranked — and you have no dashboard to see what's being said.

Why AI Descriptions Are Different From Traditional Search

Traditional local search shows customers a list of options: map pack, reviews, website links. They compare and choose. AI search collapses all that into a single synthesized answer. The customer reads it as fact and often never clicks through. There's no ranking to watch, no traffic dip to trace. The error lives in text you were never shown. Whitespark's analysis found AI Overviews appear in 15% of direct local-intent searches but in 97% of hybrid questions (e.g., "should I hire a lawyer after an accident?"). That means AI is most influential when customers are deciding whether to use you at all.

The Accuracy Gap: Small vs. Large Businesses

Searchable tested 165 London businesses with 13,365 questions. 93% had at least one basic fact wrong or missing. Half of smaller businesses received false facts, versus 32% of larger companies. Chris Donnelly, Searchable co-founder, explained: "For a smaller bricks-and-mortar retailer, if their online visibility mostly centres around its website and a Google Business listing, that's a relatively thin trail of information for AI systems to learn from." The implication: larger businesses with richer data trails get better AI treatment. Small businesses are disproportionately penalized.

Which AI Tool Is Most Accurate?

Perplexity gave inaccurate answers in 10% of cases, Gemini in 5%, and ChatGPT in 4%. But no tool is reliable enough to ignore. Each platform processes data differently, so a correct answer in one doesn't guarantee correctness in another. You must test all of them.

What This Means for Your Business

If you have multiple locations, the risk multiplies. Every location is a separate entity that AI can misdescribe. Wrong hours, wrong address, or a claim that you're closed can directly lose customers. Since there's no alert system, you won't know until a customer complains — or doesn't show up. The only solution is a manual audit process: write down common customer questions, test them across AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity, and log errors. Then fix the sources you control: Google Business Profile, website, directory listings. Ensure name, address, and phone number are consistent everywhere. For errors from third-party sources, you'll need to contact those sites directly.

Strategic Implications for Executives

This is not a one-time fix. AI models update frequently, and correcting a source today doesn't guarantee tomorrow's answer is right. You need a recurring audit cycle. For multi-location businesses, assign someone to check each location quarterly. The cost of inaction is lost trust and lost revenue. As AI adoption grows — 45% of consumers already use it — accuracy becomes a competitive differentiator. Businesses that invest in clean, structured data and regular AI audits will capture customers that competitors lose to errors.

Bottom Line

AI local search is broken for most businesses, but the fix is straightforward: audit manually, fix sources, repeat. The businesses that do this will win. Those that don't will be misrepresented to a growing share of customers.

Source: Search Engine Journal