What to do when ChatGPT gets your company wrong

More and more buyers meet your company through an AI assistant before they ever reach your website. They ask ChatGPT, Perplexity, or Gemini what you do, who you serve, and whether you are any good. Whatever the assistant says becomes the first impression, repeated the same way to everyone who asks. When it is wrong, the mistake does not sit on one page you can go and edit. It scales.

There is no button to correct an AI's answer. But the answer is not random, and it is not fixed. It is assembled from what the web says about you. Change what the web says, in the right places, and the answer changes with it. Here is how.

First, find out exactly what they get wrong

Vague worry is not a plan. Ask the engines directly, the way a customer would, and write the answer down word for word. Try a handful of real prompts:

• "What does [company] do?"
• "Is [company] a good [category] for [audience]?"
• "Who founded [company], and where are they based?"
• "What are the best [category] tools in [market]?"

Run each in more than one assistant. Note the specific errors: a wrong founding year, a discontinued product, a competitor named where you should be, or a flat "I could not find much about them." Each of those has a different cause and a different fix.

Fix your own source of truth first

AI engines lean on a company's own authoritative pages for the plain facts, so start there. The correct version of each fact should be stated clearly, in text, somewhere the crawlers can read it:

• An about page that states what you do, who you serve, when you started, and where, in clear sentences rather than a slogan.
• A newsroom or facts page the assistant can treat as the record: leadership, milestones, and the numbers you want quoted.
• Structured data that labels your organization, so the engine links the right entity to the right name instead of guessing.

If the true fact is not written down anywhere a machine can read it, you cannot be surprised when the machine gets it wrong.

Then get the correct fact into the sources AI trusts

Your own site anchors the basics, but on the judgment questions, is this company credible, who leads the category, the engine weighs independent sources far more than your marketing copy. That is why you cannot simply assert your way to a better answer. You have to be corroborated.

The lever is earned: coverage in outlets the engine already trusts, a consistent and correct mention of your company across the places it reads, and original data or a point of view that gets quoted elsewhere. Each independent source that states the right thing pulls the AI's answer toward it. Enough of them, and the wrong version stops being what the model reaches for.

Re-check until the answer moves

This is the step most people skip, and it is the one that proves the work. After you have fixed your pages and earned a few correct mentions, run your prompts again. The answer will not flip overnight, because the engines refresh on their own schedule, but it does move, and you want to see it move. Track the exact wording over weeks, not once. When the assistant starts naming you correctly, and naming you at all on the category questions, that is the result, not a press clip.

An Asia note: check every language you sell in

An assistant can hold a correct answer about you in English and a wrong one in Bahasa, Japanese, or Chinese, because it drew on different sources for each. If you sell across Asia, run your prompts in every language that matters, and make sure the correct facts exist in those languages too. A clean, in-language source is often the fastest way to fix an answer a whole market is hearing.

Make the answer something you can see

You cannot fix what you cannot watch. Cites X reads what the AI engines say about you, tracks whether you are named and whether the facts are right, and ties each change back to the coverage that moved it. So correcting a wrong answer stops being a guess and becomes a loop: see the error, earn the correction, confirm it changed. In the AI-answer era, that loop is the work.