If ChatGPT has wrong information about your company, you can’t edit the model directly. What you can do is find the sources the answer relies on, correct the ones you control, ask the owners of the others to update theirs, flag the answer through official feedback tools, and check over time that the correction sticks.
A wrong price, a retired feature or a competitor’s product attributed to you can cost deals quietly, because buyers rarely tell you what an assistant said. This guide covers why assistants get brand facts wrong, how to trace an error to its source, how to correct AI information about your brand, and how to monitor the result.
Key takeaways
- No AI company lets a brand edit what its model says, so corrections have to happen in the sources the assistant reads.
- Most wrong answers trace back to something specific: an outdated page on your site, a stale review profile, an old comparison article or a similarly named company.
- When an assistant cites sources, they show you where to start. When it cites nothing, the error may come from training data and will change more slowly.
- Fix your own site first, then the third-party pages assistants cite most for your prompts.
- Feedback tools in ChatGPT, Gemini, Perplexity and Google AI Overviews reach the vendor, but none promises a specific correction or timeline.
Why AI assistants get facts about your brand wrong
An assistant answers from what the model learned in training and from pages it retrieves at question time. We explain the retrieval side in how AI assistants choose the sources they cite. Errors usually come from one of these:
- Outdated pages on your own site. An old pricing page or a help article for a retired feature can still be indexed and read.
- Stale third-party profiles. Review platforms and software directories often keep whatever was entered years ago.
- Old comparison articles. They keep ranking long after their facts change.
- Name confusion. If another company has a similar name, an assistant can blend the two.
- Missing information. When no page states a fact clearly, an assistant may fill the gap with a plausible guess.
Step 1: Diagnose where the wrong information comes from
Don’t rewrite pages until you know which page is the problem.
- Write down the exact prompt and the wrong claim. “Does [your brand] have a free plan?” answered with “No” when you’ve had one for a year is a precise, checkable error.
- Run the prompt several times, in several assistants. Answers vary between runs. A claim that appears every time points to a widespread source. A one-off may be noise.
- Open the cited sources. Look for the wrong statement in each linked page. That page is usually the culprit.
- Look at the searches behind the answer. ChatGPT often splits a question into several web searches, a behavior called query fan-out. The pages ranking for those searches are the ones it reads.
- Spot training-data errors. If nothing is cited and the claim matches how things were years ago, it likely comes from training. Fix current sources anyway, but expect slower change.
Match the error to its likely source
| What the assistant gets wrong | Where it often comes from | First fix |
|---|---|---|
| Old pricing or plans | Old pricing page, review profiles, roundups | Update your pricing page, then the profiles |
| Features you dropped or never had | Old help docs, launch posts, comparisons | Update or redirect old pages, contact authors |
| Wrong category or audience | Directory listings, vague homepage copy | State category and audience plainly |
| Mixed up with another company | Similar names, missing company details | Publish clear company facts everywhere |
| Wrong founding date or location | Old press, company databases | Update your about page and the databases |
Step 2: Fix your own site first
Your site is the source you fully control, and assistants that search the web can read it.
- Publish a clear facts page. Your about page or a dedicated facts page should state in plain sentences what the product is, who it’s for, current plans and prices, main integrations, and company details. Show a last-updated date.
- Write facts as text. Prices inside images or behind a “contact sales” button leave the assistant to rely on what other sites say.
- Handle outdated pages. Update old posts and help articles or redirect them. A note such as “This plan was retired” helps readers and assistants alike.
- Be consistent. Use the same description, category and pricing wording across your homepage, docs and social profiles.
- Stay reachable. OpenAI says sites that opt out of its search crawler won’t be shown in ChatGPT search answers.
Our free llms.txt generator can produce a summary file for AI agents, but treat it as a convenience, not a fix. As our llms.txt guide explains, Google says you don’t need AI text files to appear in Google Search.
Step 3: Fix the third-party sources
Many brand answers cite pages you don’t own. Start with the domains that appeared most often in your diagnosis.
Review and listing profiles
Claim your profiles on the review platforms and directories that show up in citations. Update descriptions, pricing and features, and reply to reviews that contain factual errors. Our guide on getting cited through review sites covers how to do this within each platform’s rules.
Comparison articles and roundups
Email the author with the specific error, the correct fact and a link that proves it. Keep it short. Publishers owe you nothing, so ask only for the correction.
Wikipedia and Wikidata, only if you’re notable
Wikipedia isn’t a listing service. Its notability guideline for companies requires significant coverage in multiple independent, reliable secondary sources. If an article about you exists and contains errors, the conflict of interest guideline strongly discourages editing it yourself: disclose your affiliation and propose changes on the talk page, with sources. Wikidata has its own notability policy, so read it before creating an entry.
Press and company databases
Keep a press page with a current boilerplate so journalists copy the right facts, and ask outlets to correct published errors, with evidence.
Step 4: Report the answer through official feedback channels
Feedback won’t rewrite an answer on demand, but it tells the vendor the answer is wrong. Use the routes each vendor offers:
- ChatGPT: use the thumbs-down icon under the response and describe the problem. Check OpenAI’s help center for its current reporting options.
- Gemini: Google’s page on sending feedback in Gemini Apps describes a “Bad response” icon with an optional reason and comment, plus “Report legal issue” in the more menu.
- Perplexity: its help center says to open the three-dot menu below an incorrect response and select “Report”.
- Google AI Overviews: per Google Search Help, click thumbs down, choose “Report a problem” and a category, and add details.
Be specific every time: the wrong claim, the correct fact and a public URL that proves it. If an answer may be defamatory, bring in your legal team.
Step 5: Monitor whether the correction sticks
Sources need to be recrawled and answers vary between runs, so one good answer proves little. Keep the prompts that produced the error plus a few related questions, rerun them on a schedule, and record whether the wrong claim still appears and which sources are cited. Our guide to tracking your brand across AI assistants explains how to set up the routine.
Track corrections across assistants with Citegram
Citegram is a free Chrome extension with a dashboard that handles the monitoring:
- Add the prompts that produced the error, plus related buyer questions.
- Run them in the real assistants. Citegram asks each prompt in ChatGPT, Gemini, Perplexity, Claude, DeepSeek, Grok and Google AI Overviews in background tabs, using the accounts already signed in to your browser. No API key is needed, and questions count toward your own plan usage.
- Read each answer and its sources. You see the answer text, whether and where your brand is mentioned, and the cited sources in rank order. For ChatGPT, you also see the web searches it ran.
- Find the pages to fix. The most cited domains report shows which sites shape answers across your prompts.
- Rerun after each fix and compare runs over time, assistant by assistant.
Answers come from your own accounts, so memory, personalization and location can affect them. Citegram doesn’t flag false claims for you: you read the answers and judge them.
FAQ
How do I correct wrong information ChatGPT says about my company?
Check the links in its answers and the searches it runs to find the sources behind the error. Fix your own pages, ask third-party sites to update theirs, and flag the answer with the thumbs-down icon. Then rerun the same questions over the following weeks.
Can I ask OpenAI to change what ChatGPT says about my brand?
There’s no documented way for a brand to edit ChatGPT’s answers. Feedback on a response reaches OpenAI but doesn’t guarantee a correction. Fixing the sources ChatGPT reads is the part you control.
Why does ChatGPT still show old information after I updated my website?
Your updated page may not have been recrawled yet, or ChatGPT may be citing another page, such as an old review profile. If it answers without searching, the claim may come from training data, which changes more slowly.
How long does it take for AI answers to reflect a correction?
There’s no fixed timeline. Assistants that search the web can pick up corrected pages once recrawled, while claims learned in training can persist much longer. Judge progress over several weeks.
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