When Google's AI Overview Gets Your Business Wrong
Google's AI Overview can confidently show wrong contact details and misdirect customers. Why it happens and how to protect your business.

One business reported spending six months fielding angry refund requests from people who were never its customers. The cause was not a billing bug or a scam. Google's AI Overview had been confidently showing its support email to people searching for a different, similarly named company, and hundreds of frustrated searchers acted on it.
It is an unsettling failure mode, because nobody did anything wrong and there is no obvious off switch. This is the new shape of an old problem: when an AI confidently summarises the web, its mistakes get presented with the same authority as its facts.
What actually goes wrong?
AI Overview, the AI-generated answer box that sits above Google's normal search results, tries to synthesise a single helpful answer from many sources. For most queries that works. The trouble starts when it has to produce a specific fact, like a phone number or support email, and the web gives it ambiguous signals.
Two failure modes dominate. The first is entity conflation: two businesses share a similar name, and the model blends their details into one answer, attaching the wrong contact information to the wrong company. The second is plain hallucination (an AI confidently stating something that is not true), where the model fills a gap with a plausible-looking detail that no source actually supports. Either way the searcher sees a clean, confident answer and has no reason to doubt it.
Why does AI Overview get businesses confused?
It helps to remember what the model is actually doing. It is not looking up a verified record in a database of businesses. It is predicting a likely answer from patterns across the pages it has seen. Contact details are exactly the kind of fact that is easy to get wrong this way: they are short, they look interchangeable, and they are scattered inconsistently across directories, old listings, and third-party pages.
When your name resembles another business, when your details differ between your website and the directories that list you, or when an outdated page still ranks, you hand the model an opportunity to merge or misattribute. The model has no built-in sense that a support email is a high-stakes fact that must be exactly right. It treats it like any other token to predict.
How do you tell if it is happening to you?
You will rarely get a tidy alert. The signal usually arrives as confused inbound contact: support requests for products you do not sell, refund demands from people you have never billed, or calls asking about another company. Treat that pattern as a prompt to investigate rather than a coincidence.
Then check directly. Search your business name and its common misspellings and near-twins, and read what the AI Overview asserts about your contact details, hours, and location. Do the same for the similarly named businesses you might be confused with. Because the output can vary by location and over time, it is worth checking periodically rather than once. Our guide on what AI says about your brand covers a fuller monitoring routine.
How do you protect your business?
You cannot edit the AI Overview directly, but you can starve it of reasons to get you wrong. The goal is to make your authoritative details so consistent and well-structured that the correct answer is the easy one for the model to produce.
Start with the basics. Keep your name, address, and phone number identical everywhere they appear, claim and complete your Google Business Profile, and make your contact page unambiguous about who you are and what you sell. Add Organization structured data (machine-readable markup that states your official name, contact points, and website) so the correct details are explicit rather than inferred. Clean up or redirect stale pages and old listings that carry outdated information. None of this guarantees a fix, but each step removes a way for the model to confuse you with someone else. It is the same authoritative-signal work that helps AI engines cite your page correctly in the first place.
What should searchers do about it?
If you are on the other side of this, the lesson is simple: treat the AI Overview's contact details as a starting point, not gospel. For anything that matters, like a refund, a payment, or a complaint, click through to the official website and use the contact details published there. The AI summary is a convenience, not a verified record, and a confident tone is not the same as a correct answer.
Frequently asked questions
Q01Can you make Google's AI Overview remove wrong information?
Q02Why does the AI show another company's details for my searches?
Q03Is this the same as an AI hallucination?
Q04How often should I check what AI says about my business?
The bottom line
AI Overview will keep getting some facts wrong, because confidently summarising a messy web is exactly the task that produces confident mistakes. You cannot control the model, but you can control how clear your own signals are, and you can watch for the tell-tale sign of misdirected customers. For everyone else, the habit worth building is small but powerful: when an AI answer matters, verify it at the source before you act on it.
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