ChatGPT has wrong information about my business — how to fix it
The AI isn't lying — it's repeating the most consistent version it found
It's unsettling to ask ChatGPT about your own company and hear an old address, hours you changed a year ago, a product you discontinued, or a flat "I couldn't find much about them." But the engine isn't inventing a grudge. It has no authoritative file on your business; it builds the answer on the fly from the pages it can reach and the facts those pages agree on. If the internet's most-repeated version of a detail is out of date — because an old directory listing, a stale profile, or an old press mention still says so — that's the version the AI confidently repeats. Fixing it isn't about arguing with the model. It's about changing what the model reads so the correct fact becomes the consistent, best-corroborated one.
The five inputs that decide whether AI states you correctly
| # | Input | Why it drives the wrong (or right) fact |
|---|---|---|
| 1 | An accurate, crawlable source of truth | If your own site doesn't state the current fact clearly on a page AI can crawl and index, the engine falls back to whatever third party does — often the outdated one |
| 2 | Consistency everywhere (NAP + key facts) | When your name, address, phone, hours and services differ across your site, directories and profiles, the engine has to pick — and it often picks wrong or hedges |
| 3 | The stale third-party sources | Old listings, review-site profiles, aggregators and old articles that still carry the wrong fact keep re-supplying it; until they're corrected, they compete with your update |
| 4 | Freshness & re-crawl signals | A page updated and re-crawled recently, with a visible date, tells the engine which version is current; an untouched page can't out-rank an old fact repeated elsewhere |
| 5 | Structured data that states facts plainly | Organization/LocalBusiness schema with the correct address, hours and identifiers lets machines read the fact without inferring it from prose that may be ambiguous |
How to correct the record — work the inputs in order
Put the correct fact on your own site, clearly and crawlably
Start where you have full control. Make sure the current, accurate detail — address, hours, what you do and don't offer, leadership, founding facts — is stated plainly on a page an AI crawler can actually reach and index (not buried in an image, a PDF, or JavaScript the bot never runs). This is your source of truth. If it isn't reachable and indexed, none of the downstream fixes have an anchor to point back to — the same first link that governs why a business doesn't show up in ChatGPT at all.
Make every detail identical everywhere
Engines resolve facts by agreement. If your address, phone, hours, business name or service list read differently on your site, your Google Business Profile, your LinkedIn page and a dozen directories, the AI has conflicting inputs and either guesses or hedges. Lock one canonical version of each fact and make it match, character-for-character, across every place your business appears. Consistency is what turns scattered mentions into a clear, trustworthy entity the engine can state with confidence.
Track down and correct the stale sources feeding the old fact
The wrong answer is usually being re-supplied by specific outdated pages. Search for the incorrect fact as the AI states it and find where it still lives — an old directory entry, an un-updated profile, an aggregator, an old article. For sources you control, correct them. For third-party ones, use their edit or correction process, or request an update. You won't clear every one, but removing the loudest stale sources stops them from out-voting your corrected version.
Signal freshness so the current version wins
An engine needs a reason to prefer the new fact over the old one it's repeated for months. Update the relevant page, show a clear "last updated" date, and make sure it's structured so a re-crawl picks up the change. On live-retrieval engines the corrected page can surface fairly quickly; on models answering from an older snapshot it takes longer. Freshness is how you tell the machine which version is true now — see how long AI takes to update for realistic timelines.
State the facts in structured data
Add Organization or LocalBusiness schema with the correct name, address, hours, contact and identifiers, and keep it in sync with the page. Structured data doesn't overwrite the engine's answer, but it lets machines read your facts without inferring them from prose — and when two versions of a detail compete, the engine leans toward the one it can read unambiguously. See schema markup for AI search and how AI decides which sources to cite for why legibility breaks the tie.
What this is not
It's not a button you press to edit the AI's reply — there's no direct edit, and no honest provider can guarantee an engine will change an organic answer, or change it by a certain date. It's not instant: even a perfect fix propagates over weeks as sources re-align and engines re-crawl, faster on live-retrieval tools than on snapshot models. And it's not something you fake your way out of — planting fake sources or gaming reviews to bury a fact violates platform terms, is detectable, and undermines the corroboration you're trying to build. The reliable fix is making the correct fact the clearest, most consistent, best-corroborated one online. (If an answer is genuinely defamatory or leaks private data, most major AI providers also offer a reporting or removal-request path — but the durable fix is still fixing the inputs.)
The order matters
Work top to bottom. There's no point chasing down stale directory listings (input 3) if your own site doesn't yet state the correct fact on a crawlable page (input 1), and freshness signals (input 4) only help once the accurate version actually exists and agrees with itself everywhere (input 2). Fix your source of truth first, align every source next, correct the stale ones and signal freshness after, and let structured data seal it. A structured AI visibility audit shows you exactly which fact the engines get wrong and which source is still feeding it — so you correct the cause instead of guessing.
Frequently asked questions
Why does ChatGPT have wrong information about my business?
Because it doesn't store a verified profile of your company — it assembles the answer from what it can crawl and corroborate. Wrong facts come from stale or conflicting sources: an old address in a directory, outdated hours on a third-party page, a discontinued service in an old article, or two sources that disagree so the engine guesses. If the most-repeated version of a fact online is out of date, that's what the AI repeats.
How do I correct wrong information about my company in AI answers?
You can't edit the answer directly. You correct the inputs: publish the accurate facts clearly on your own crawlable site, make your name, address, contact and key details identical everywhere, update or request correction of the stale third-party sources, and give the engine fresh, well-structured pages so the current version out-weighs the old one. As sources re-align and get re-crawled, the answer follows.
How long does it take for AI to update wrong information?
There's no guaranteed timeline. Engines refresh on their own crawl-and-retrain schedules — some use live web results, others a lag-heavy snapshot. Once you've corrected your pages and the key third-party sources, expect improvement over weeks, faster on live-retrieval engines like Perplexity and Google AI, slower on models answering from an older snapshot.
Can I force ChatGPT to remove false information about my business?
You can't command an engine to change an organic answer, and no honest provider can guarantee one will. You remove the cause: correct or take down the inaccurate sources you control, request corrections from third parties, and strengthen the accurate record. If an answer is genuinely defamatory or exposes private data, most major AI providers also have a reporting or removal-request process — but the lasting fix is fixing the inputs.
Find out exactly what AI gets wrong about you
Our free AI Visibility Audit runs your real buyer questions through ChatGPT, Perplexity, Google AI and Claude — and shows what each engine says about your business, which facts are wrong, and which source is still feeding the outdated version.
Request the free auditRankInAnswers diagnoses and corrects the measurable inputs that drive what AI engines say about a business, then reports the trend every month. We never guarantee what an AI engine will state or when it will change — no honest provider can.