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AI Misinformation About My Company: How to Fix It.
AI misinformation about my company usually triggers a reputation-emergency instinct, and that instinct is the wrong one. ChatGPT naming the wrong founder, Perplexity citing a discontinued product, Gemini quoting last year's pricing, or Copilot merging your company with a similarly named competitor is not evidence that an engine has formed an opinion about you. It is evidence that the engine pulled from a source it trusts more than it should have, and the fix runs through that source, not through a statement or a press release.
Marketing leaders who treat this as a PR crisis usually spend weeks on a response that never touches the retrieval layer the engine reads from. Teams who treat it as a sourcing problem tend to see the wrong answer correct itself within a few refresh cycles.
Why does AI get basic facts about my company wrong?
AI engines do not invent claims about your company; they repeat whatever a source they already trust said, so a wrong answer traces back to one of four causes. Stale training data is the most common: the model's knowledge was frozen at a snapshot months or years ago, and it keeps repeating that version until a fresher source overrides it. A single over-trusted page is the second cause, often an old directory listing or a syndicated press release nobody updated after a rebrand. Entity confusion with a similarly named company is the third, common for short or generic names in a crowded category. An outdated third-party listing on a review site or industry directory is the fourth, and the one most B2B teams have never audited.
| Root cause | What it looks like | Where to check first |
|---|---|---|
| Stale training data | Old pricing, a former product name, a departed executive | Ask the engine to cite its source; compare the date |
| One over-trusted page | The same wrong fact appears identically across engines | Search the exact wrong phrase to find the source page |
| Entity confusion | Facts belong to a different company with a similar name | Check whether a namesake exists in the same or an adjacent category |
| Outdated directory listing | Old address, old logo, wrong employee count | Audit Crunchbase, G2, LinkedIn, and your Google Business Profile |
Is this a PR problem or a sourcing problem?
It is a sourcing problem, and treating it as a PR problem is the most common way B2B teams waste a quarter on this. A press release is written for a human reader and a news crawl; it does nothing to change what an AI engine has already indexed as a trusted fact, because the engine is not reading your announcement the way a journalist would. Correcting AI misinformation about my company means fixing the actual page, profile, or dataset the model pulls from, in a format it can parse and re-crawl, not issuing a statement about the error.
This distinction changes who owns the fix. A PR-framed response sits with communications and takes a review cycle. A sourcing-framed response sits with whoever owns the website, the Google Business Profile, and the directory listings, and can usually ship the same week. SourceRank AI's entity work is built around finding the specific source an engine trusts and correcting it there, rather than issuing a general statement and hoping the model notices.
How do I find out exactly what AI engines are saying about my company?
Run the same factual prompts, company name, founder, headquarters, pricing tier, flagship product, against ChatGPT, Perplexity, Gemini, and Copilot, and record every claim each makes along with any source it names. Test at least eight to ten distinct facts, because one accurate prompt can hide a wrong entity profile elsewhere. A SourceRank AI score automates this across all four engines and flags which claims are wrong, outdated, or attributed to the wrong entity, turning a vague sense that "AI keeps getting us wrong" into a specific, correctable list, using the audit methodology behind that score.
What is the fastest way to correct AI misinformation about my company?
Left uncorrected, AI misinformation about my company compounds, because engines without live browsing keep repeating the same claim, and engines that do browse keep re-finding the same wrong source until something better replaces it. A five-step workflow closes that loop:
- 1. Trace the claim to its source. Ask the engine where it got the fact, or search the exact wrong phrase to find the page it likely scraped.
- 2. Correct the highest-trust source first. Your own website beats a directory, and a claimed Google Business Profile beats an unclaimed one.
- 3. Publish a short, direct, crawlable statement of the correct fact. One clear sentence an engine can retrieve outperforms a long announcement buried in a PDF.
- 4. File in-product feedback on the specific wrong answer. It will not fix the underlying source, but it costs nothing and flags the response for review.
- 5. Re-run the same prompts on a fixed schedule until the answer changes, then keep monitoring. A correction that drifts back after a week means the source hierarchy was fixed out of order.
Which source should I correct first?
Correct your own website first, since every engine treats it as the primary source for facts about you. Next comes your Google Business Profile and Knowledge Panel, because Gemini and AI Overviews draw directly on Google's Knowledge Graph, then the two or three directories your category gets cited from (commonly Crunchbase, G2 or Capterra, and LinkedIn), then news and press mentions, which matter more for entity disambiguation than day-to-day facts. Chasing a minor directory before your own site or Knowledge Panel is the most common ordering mistake, since a stronger source is still telling the engine the old version.
Do all four engines handle corrections the same way?
No, and treating them identically is why some corrections take hold in one engine and never reach another. Each engine trusts a different primary source and refreshes on a different cycle, so the fastest fix depends on which engine is producing the wrong answer.
| Engine | Primary source it trusts | Typical refresh speed | Correction that helps most |
|---|---|---|---|
| ChatGPT | Entity and authority signals, browsing when enabled | Weeks to months without browsing; days with it | Fix the source page, then use in-chat feedback |
| Perplexity | Live retrieval, freshness | Days, sometimes hours | Fix the source page; the re-crawl does the rest |
| Gemini | Google Knowledge Graph, Business Profile | Days once the Knowledge Panel updates | Claim and correct your Google Business Profile |
| Copilot | Bing index | Tied to Bing's crawl cycle | Update via Bing Webmaster Tools and your own site |
Can the feedback button inside ChatGPT or Perplexity actually fix it?
It helps at the margin, but it is not a substitute for fixing the underlying source. Reporting a wrong answer, through the thumbs-down option in ChatGPT or the feedback icon in Perplexity, flags that response and can influence future model behaviour over time, but it does not touch the directory listing or unclaimed Knowledge Panel actually causing the error. Use feedback alongside source correction, not instead of it.
How long does it take for a correction to show up in AI answers?
It depends on the engine and the source you fixed, and the range runs from days to a few months. Perplexity and Copilot rely on live or frequent re-crawling, so a corrected page can flip their answers within days to a couple of weeks. Gemini updates quickly once a Google Business Profile or Knowledge Panel claim is corrected. ChatGPT without browsing enabled is slowest, since it depends on a future training refresh rather than a live re-crawl.
Does a low AI citation rate make misinformation worse?
Yes. A company that is rarely cited gives engines fewer accurate, up-to-date sources to weigh against the one wrong page they already trust. SourceRank AI audit data shows the average B2B company is cited in fewer than 5% of relevant AI prompts, meaning most companies have almost no fresh, verified content competing against whatever outdated listing an engine currently relies on. Building citation volume through SourceRank AI's managed programmes does double duty: it earns new mentions and dilutes the one bad source causing the error.
Frequently asked questions
Why does ChatGPT say wrong things about my company?
ChatGPT repeats whatever source it has learned to trust most, so a wrong claim usually comes from stale training data, an over-trusted directory listing, or confusion with a similarly named company.
Is AI misinformation about my company the same problem as not being cited at all?
No. Not being cited means an engine has no confident answer and leaves you out; misinformation means it has an answer and the answer is wrong, which can actively steer a buyer away from you.
Can a competitor cause an engine to describe my company incorrectly?
Indirectly, if a competitor's content becomes the source an engine trusts for a comparison question, or entity confusion blends the two profiles together, but this is rarely deliberate and the fix is the same: strengthen your own primary sources.
Should legal or PR handle a wrong AI answer instead of marketing?
Marketing, or whoever owns the website and directory listings, should lead, since the fix is a content and entity correction, not a public statement; legal only needs to be involved if the claim creates a genuine compliance risk.
Will submitting feedback inside ChatGPT or Perplexity fix the error everywhere?
No. Feedback flags one response inside that engine; it does not correct the source page, so the same wrong fact can still surface in a different prompt, session, or engine.
Does fixing my Google Business Profile help with ChatGPT as well as Gemini?
It helps Gemini directly, since Gemini draws on Google's Knowledge Graph, and it helps ChatGPT indirectly by adding one more accurate source for a future browsing session or training update to find.
How do I know if the wrong answer has actually been fixed?
Re-run the exact prompts that found the error on a fixed schedule, weekly for fast-refreshing engines like Perplexity, monthly for ChatGPT without browsing, until the answer changes and holds across two checks.
Where should I start if I have never checked what AI says about my company?
Run a SourceRank AI score across all four engines first, since it gives a specific list of wrong or missing claims rather than a guess, and our team can help prioritise the fix from there.