When an AI overview states wrong facts about your brand, you cannot edit the AI directly, so you fix the sources it reads. Here is how to find the error, correct it at the source, and make your facts consistent enough that the summaries get you right.

It is a specific kind of frustrating. You rebranded eight months ago, updated your pricing, and dropped a feature, yet ask ChatGPT, Gemini, or Google’s AI Overview about your company and it confidently repeats the old story. Founders describe exactly this on marketing forums: it keeps repeating positioning from two years back, and you cannot tell how many people are seeing it. The good news is that wrong AI answers are fixable, just not the way you would fix a typo.

The Gist: you cannot directly edit what an AI overview says, so you correct the inputs it draws from. Find the exact wrong fact and which engine shows it, click through to see whether your own page or a third-party source is feeding it, report the error through the engine’s feedback, then update that source with current, unambiguous information. Make your facts consistent across your site and high-authority profiles, add structured data so machines read them cleanly, and give the crawl a few days to weeks to catch up. If a model confuses you with a competitor, a direct comparison page fixes the attribution.

Why AI overviews get your brand wrong

AI overviews do not read your website and quote it back. They synthesize an answer from many sources at once, and they weight what they have seen repeated across the web that they already trust. That is how an old forum thread, a stale directory listing, or a two-year-old press release becomes the fact a summary presents, even after your own site says otherwise. Recent brand audits found that a large majority of companies had at least one material factual error in AI descriptions across ChatGPT, Perplexity, and Google’s AI Overviews, so this is widespread rather than rare. Because the output comes from the AI, you cannot correct it directly; you change what it reads, which is also the premise behind answer engine optimization.

First, find the wrong fact and where it comes from

Before fixing anything, pin down the error precisely. Note which engine shows it, since Google’s AI Overview, Gemini, ChatGPT, and Perplexity each pull differently, and our look at how these engines gather sources explains why the same brand can be described three different ways. Then use the citations: AI Overviews and Perplexity link the pages they used, so click through and find the exact source of the wrong claim. Ask whether it lives on a page you own, a third-party site, or a high-authority profile, because the fix differs for each. One caution: do not judge the scale from five manual queries, since coverage varies widely by phrasing, so test a spread of real questions.

Report it, then fix the source

There are two moves, and you want both. The fast one is feedback: on a Google AI Overview, use the feedback control on the panel to flag the error, and use the equivalent thumbs-down in other tools. That does not guarantee an instant change, but it registers the problem. The durable one is fixing the source content the overview cites. If the wrong fact is on your own page, update it with current, clear information and a fresh date. If it is on a site you do not own, contact the owner or use their correction or claim process, which most directories provide. Google’s own guidance on AI features confirms the path is better source content, not a magic correction button.

Where the wrong fact lives	Why it happens	How to fix it
Your own page	Old pricing or positioning after a rebrand	Update it with current, clear facts and a fresh date
A third-party site	Directory, review site, or old press piece	Contact the owner or use the correction process
High-authority profiles	Wikipedia, Crunchbase, or G2 out of date	Update them with proper citations; models weight them
Competitor confusion	Model mixes your facts with another brand’s	Publish a direct comparison so facts attach correctly
Stale model memory	Trained before your change	Refresh authoritative sources and wait for re-crawl

Google’s own documentation frames AI features as drawing on your site’s content, which is why the reliable fix is better, clearer source pages instead of a direct correction request. Make your facts consistent and machine-readable

Wrong citations often come from disagreement. When your site says one thing, a directory says another, and an old article says a third, the AI picks whichever it has seen repeated most or trusts most, and that is frequently the outdated one. So align the facts everywhere they appear: your site, Wikipedia, Crunchbase, G2, and your press mentions should tell the same current story. Marketers who fixed stubborn AI errors describe flooding those authoritative profiles with the correct framing until the AI caught up. Then make the facts easy for machines to parse with structured data, including Organization schema and a sameAs property that links your official profiles together, plus a single clear page stating your core facts. Consistency plus structure gives the engines a clean signal instead of a guess.

When the model confuses you with a competitor

A distinct failure is misattribution: the overview mixes your features, pricing, or founding details with a similarly named or competing company. This usually traces back to comparison articles where the two brands sit side by side and the AI loses track of which fact belongs to whom. The fix is to own the comparison. Add a section to a relevant page, or publish a dedicated page, that states plainly how your brand differs from the one it is confused with. Giving the engines a clear, first-party contrast helps them attach the right facts to the right name, and it doubles as useful content for buyers comparing you anyway.

This article is general information, not legal or marketing-outcome advice. AI search features, feedback tools, and ranking behavior change frequently and vary by engine, and no method guarantees a specific correction or timeline, so confirm current options with each platform and adjust as the tools evolve.

Frequently Asked Questions Can I directly edit what an AI Overview says about my brand?

No. You cannot change the AI.s output on demand. What you can do is fix the sources it reads, both your own pages and the third-party sites it cites, and report the error through the engine’s feedback. Once better information is crawled, corrections tend to appear within days to weeks. Treat it as cleaning up the web it reads rather than editing the answer itself.

How do I report a wrong AI Overview to Google?

Use the feedback control on the AI Overview panel, usually a thumbs-down or feedback link near the bottom. That flags the error to Google, though it does not guarantee an immediate fix. Pair it with correcting the underlying source content, since the reliable change comes from improving the pages the overview cites rather than from the report alone.

Why does ChatGPT still describe my old brand positioning?

Because it is leaning on older training data or cached sources that predate your change. After a rebrand, models often keep repeating deprecated pricing or positioning until enough current, authoritative sources say otherwise. Update your site and your high-authority profiles with the new framing, keep them consistent, and the newer version gradually replaces the old one in AI answers.

Which sources do AI search engines trust most?

Recent, authoritative, and consistent ones: your own well-structured pages, Wikipedia with citations, Crunchbase, G2, and reputable press coverage. When those agree with each other and with your site, the AI gets a clean signal. When they conflict, it may surface the wrong or oldest version, which is why aligning your facts across all of them matters as much as fixing any single page.

How long does a correction take to show up?

Often days to a few weeks, since AI Overviews crawl the web on an ongoing basis. High-authority sites and freshly updated pages get picked up faster than obscure ones. There is no instant switch, so make the correction accurate and consistent across sources, then monitor how you appear across several engines over time rather than checking a single query once.

Main Takeaways

• You cannot edit an AI overview directly; you fix the sources it reads and let the correction propagate.
• Find the wrong fact, note which engine shows it, and click the citation to see whether your page or a third-party source feeds it.
• Report the error through the engine’s feedback, then update the source with current, unambiguous facts.
• Align your site with high-authority profiles like Wikipedia, Crunchbase, and G2, and use schema and sameAs for consistency.
• For brand mix-ups, publish a direct comparison so facts attach to the right company; corrections show up in days to weeks.

The Bottom Line

An AI overview getting your brand wrong feels personal, but the fix is mechanical. You are not arguing with the AI, you are cleaning up the web it reads. Track down the exact error and its source, report it, and correct the page, whether that is your own outdated pricing or a stale third-party profile. Then make your facts consistent and machine-readable everywhere the engines look, and give the crawl time to catch up. Do that and the summaries that shape first impressions of your brand start telling the true story. For more on staying visible as search changes, browse Venture-Lab’s Marketing section.