What should you do when AI gives customers wrong information about your business?

Why do AI assistants get facts about businesses wrong?

An AI assistant does not store a verified record of your business. When a customer asks, the engine composes its answer from whatever sources it can retrieve in that moment, then repeats what those sources say. If a stale directory entry lists old hours, an outdated page on your own site quotes a price you changed last year, or a third-party blog describes a service you dropped, that wrong fact can outrank your current reality. The engine is not lying. It is faithfully reporting a source that happens to be out of date.

The wrong fact also tends to spread. Once one source carries it, other sites copy it, and the engine then sees the same error in several places and treats it as confirmed. That is how a closure that happened only on paper, or a price you raised two years ago, keeps appearing in answers long after you moved on. The engine reads agreement between sources as a signal of truth, with no way to know the sources copied each other.

This is why corrections aimed at the assistant go nowhere. The fix lives in the supply chain of sources behind the answer. The June 2026 probe below shows how thin that supply chain often is, which is both the problem and the opening: when the cited sources are small and few, a single corrected, authoritative page can carry real weight.

What are the six steps to correct wrong AI information?

The work is mechanical once you accept that the assistant is downstream of its sources. Run these in order. Each step either narrows the problem to a specific source or replaces a wrong source with a correct one the engine can read. The first two steps cost you nothing but attention, and they save the rest of the effort from being aimed at the wrong place. Most owners want to skip to publishing, but a page that corrects a fact the engine never cited does nothing for the answer your customer sees.

1. Document it. Screenshot the answer and record the date, the engine, the exact question you asked, and which sources the answer cites. Without the citation list you are guessing at the cause.
2. Trace the wrong fact to its source. Open each cited URL and find which one carries the wrong fact. The cited URLs are the supply chain feeding the answer, so the error sits in one of them.
3. Correct it at the sources. Fix your own site first, then your Google Business Profile, then the directories and review platforms that the answer drew from. The order matters: your own pages are the source you control fastest.
4. Publish an authoritative page. Write a page that answers the question correctly in plain, quotable language, with the current fact stated outright so an engine can lift it without interpretation.
5. Ask for re-indexing. Resubmit your sitemap in the engines' search tools and use IndexNow to notify the Bing-network engines that the corrected pages have changed.
6. Monitor monthly. Re-ask the same question on the same engines each month. Answers vary between runs, so confirm the correction sticks across repeated checks rather than a single pass.

One caution on step two: a single answer can cite several sources, and the wrong fact may live in only one of them while the rest are accurate. Read each cited URL rather than assuming the most prominent one is the culprit. And expect a lag between step five and step six. Re-indexing is a request, not a switch, so the corrected answer rarely appears the same week you publish.

What kinds of wrong information show up most?

Most wrong answers about a business fall into a handful of patterns, and each one usually traces to a predictable source. Knowing the pattern points you straight at the listing or page to correct, which saves you opening every cited URL blind. The table below maps the five patterns that come up most often to where the error usually originates and what closes it.

The pattern that takes longest to fix is entity confusion, because it is spread across many sources rather than sitting in one listing. Consistency is the lever there: the more places that state your exact name, address, and category the same way, the easier it becomes for an engine to separate you from the business it confused you with. Wrong hours and a wrong closed status, by contrast, usually sit in one or two listings and clear quickly once you find them.

What should you do when AI cites an outdated page about your business?

Start by checking who owns the cited page. If it is your own page, the fix is direct: update it with the current fact or redirect it to the corrected page, and keep the URL so the link equity and the engine's existing reference carry over. Replacing the URL throws away the trust the page already earned.

If the outdated page belongs to a third party, you cannot edit it. Request the update from the site owner where that is realistic, then outweigh the stale page with fresher corroborating sources that state the correct fact: your own updated page, a consistent Google Business Profile, and aligned directory listings. Engines lean toward sources they can verify against each other, so several independent sources agreeing on the current fact will, over repeated re-crawls, displace a single outdated page. The goal is not to delete the wrong page but to make the correct version the easiest one to confirm.

There is a useful distinction to keep in mind. An outdated page that is yours is a fast fix, because you change it today and ask for re-indexing. An outdated page held by a third party is a slower one, because you are competing on weight of evidence rather than editing directly. When you find both feeding the same wrong answer, fix yours first; a corrected page you own often carries enough authority to start shifting the answer before the third party ever responds.

Can you prevent wrong AI answers before customers see them?

You cannot stop an engine from reading a stale source, but you can make wrong answers far less likely and catch them early. Prevention has three parts. First, monitor the questions your customers ask on a monthly cadence, so a wrong answer surfaces in your own check before it surfaces in a customer's. The free AI visibility check is built for exactly this repeated monitoring.

Second, keep your name, address, and hours consistent across your site, Google Business Profile, directories, and review platforms. Consistency is what lets an engine verify a fact and discount a contradicting source. Third, maintain a current, quotable page that an engine reads first, so when it composes an answer about you, the correct fact is the most accessible one. A business that does these three things gives the engines little room to assemble a wrong answer in the first place.

Prevention does not make wrong answers impossible, because you do not control every source the engines read. What it does is shorten the time between a wrong answer appearing and you catching it, and it stacks the evidence in your favor so the correct fact is the one the engines find easiest to confirm. The cost is a recurring habit rather than a one-time project. The owners who avoid the worst surprises are the ones who treat the monthly check as routine maintenance, the same way they would reconcile their books.