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AI has the wrong information about my business. Can that be fixed?

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Answer: Usually yes, and the reason is good news. Wrong facts are nearly always old facts, copied from pages that were never updated. A study of 4,776 places to eat caught AI sending people to 93 businesses that had closed for good. Only one name looked made up (Source: Norly Research, 2026). Fix the old pages and the answer follows.

Nothing here is a submission form, and nobody can promise what an assistant will say tomorrow. What follows is the part a business actually controls.

Why would an assistant have the wrong facts about a business?

Because it is repeating something it read, and what it read is often out of date. The biggest test of this took a full list of every restaurant, cafe, and bar in two cities, 4,776 in all. It then checked what ChatGPT, Perplexity, Gemini, and Claude said against that list. In 2,208 answers holding 12,439 business names, they sent people to a business that had closed for good 93 times. Just one name in the whole set looked made up (Source: Norly Research, 2026).

That result is worth sitting with, because it reverses the usual worry. The common failure is not a machine making things up. It is a machine faithfully repeating a page nobody has updated, and a page nobody has updated is something a business can go and change.

There is a second reason, and it is published openly. An assistant answering from memory rather than looking something up is working from a snapshot of the web taken on a fixed date. OpenAI prints that date beside each of its models as a knowledge cutoff (Source: OpenAI, 2026). A business that changed its name, its owner, or its address after that date is simply not in the snapshot yet.

Is one wrong answer proof that AI has it wrong for everybody?

No, and checking that first saves a lot of wasted effort. Ask the same question twice and the answer often changes on its own. In the largest public test of this, about 600 volunteers ran the same prompts 2,961 times, and the chance that any two responses named the same set of brands came out under 1 in 100 (Source: SparkToro, 2026).

An owner who reported this exact problem on OpenAI's developer forum watched it happen. The assistant attributed the company to a competitor, and on the next attempt, in the poster's own words, "When I prompted i received the correct information" (Source: OpenAI developer forum, 2025).

So ask the question several times, on more than one assistant, before deciding anything is broken. A wrong answer that turns up once in six asks is a different problem from one that turns up six times in six.

Is there a form for correcting what an assistant says?

No. There is no file about your business sitting inside the AI waiting to be edited. There is nowhere to send a correction. Google says the same about its own AI answers. There are no extra steps, and nothing to do beyond what already helps in normal search (Source: Google Search Central, 2026).

That sounds like bad news and mostly is not. It means the lever is not a form somebody else controls. It is the published material, and a business owns more of that than it thinks.

What actually changes what an assistant says?

Putting the right fact on your own page, in plain words a customer would use. The biggest test of page wording ran 252,000 head to head trials on six AI models. Two pages were the same except for one thing. The page that left out the words from the question lost every time, on every model. The gap ran from about 6 to 1 up to 40 to 1 (Source: Vishwakarma, Kumar, and Jamidar, 2026).

In practice that means a sentence, not a subtlety. If the ownership is wrong, a page saying plainly who owns the business, in those words, does more than a beautiful About page that only implies it. The same goes for an address, a service area, a price, or a name that changed last year.

What about the wrong facts on other people's sites?

They matter more than most owners expect. The closed businesses above were found that way. Directories, review sites, and local listings are where old phone numbers and old addresses survive longest, and most of them carry a free route to claim a listing or suggest an edit.

Start with the phone number and the address. A wrong phone number is losing calls today, whatever any assistant does with it.

One warning on listings, from Google's own guidelines. A name change does not always count as an edit. Where a change does not meet the criteria, Google says the old profile has to be marked closed and a new one created, and it warns that more than one profile for a business "can cause problems with how your information displays on Google Maps and Search" (Source: Google Business Profile guidelines, 2026).

What can nobody promise about any of this?

Three things, and they are worth hearing before paying anybody to fix an AI answer.

Nobody has measured what a single correction does to an AI answer. The published evidence shows that stale sources are what get repeated. No study follows one fix through to what an assistant then says.

Nobody can say how long a correction takes to show up. None of the four assistants publishes propagation timing, so any number offered for that is invented.

And nobody can promise the answer changes at all. Correcting the record makes a business eligible to be described properly, which is a real thing to buy and a different thing from a promise.

Where does that leave a business with a wrong fact out there?

With a short and unglamorous list. Ask several times before believing the answer. Put the correct fact in plain words on the site. Then fix the outside pages still carrying the old version, phone number and address first.

We ask ChatGPT, Perplexity, Gemini, and Claude the questions your customers really ask, many times each, and count how often each one names your business and what it says about it. The first check is free.

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