What to Do When AI <blue>Gets Your Brand Facts Wrong</blue>

When ChatGPT, Perplexity, or Google's AI Overviews get your brand facts wrong, there is no edit button. AI assistants repeat what they find in their training data and in the pages they retrieve, so the fix is to correct those sources, make your own facts easy to find and consistent everywhere, report the error through each platform's feedback tools, and then re-test the same questions until the answer changes. Expect weeks, not hours.

Key takeaways

• AI answers are only as accurate as the sources behind them. Outdated directories, old press, and stale pages on your own site are common culprits.
• Fix the sources you control first: one canonical facts page, consistent profiles, and structured data that names your official accounts.
• Platform feedback tools exist, but they flag a problem. They do not guarantee a correction.
• Track a fixed set of prompts on a schedule so you know when the answer actually changes.

Why does AI get brand facts wrong?

AI assistants assemble answers from two places: what the model learned during training and, for many questions, pages it retrieves from the live web. Errors usually come from one of four gaps:

• Stale sources: an old pricing page, a former address in a directory, or a press release about a product you retired.
• Conflicting sources: your website says one thing, your LinkedIn page and a review site say another, and the model picks the wrong one.
• Entity confusion: a company with a similar name, or a parent company and a subsidiary, gets blended into one description.
• Missing facts: if no page states the answer clearly, the model may generalize from similar businesses.

The platforms say as much. Google's help page states that AI Overviews "can and will make mistakes," and OpenAI notes that ChatGPT "can produce incorrect or misleading outputs." You cannot control the model, but you can control much of what it reads.

Step 1: Document the error before you change anything

Record the exact prompt, the platform, the date, and a screenshot of the answer. AI responses change between runs, so ask the same question three to five times, and on more than one platform, before deciding how widespread the problem is.

Also note which sources the answer cites. Perplexity and AI Overviews both link theirs, and those links often point straight to the root cause.

Step 2: Trace the wrong fact to its source

Search for the incorrect detail itself, such as the wrong founding year, an old service, or a price you no longer charge. The pages that still state it are your correction list. Check, in order:

1. Your own site, including old blog posts, archived landing pages, and PDFs that are still indexed.
2. Profiles you own: Google Business Profile, LinkedIn, Crunchbase, app stores, and marketplace listings.
3. Third-party pages you can influence: industry directories, partner pages, review sites, and press coverage.

Step 3: Fix the sources you control

Start with your own website. Publish one canonical facts page that answers the questions people actually ask: what the company does, who it serves, where it operates, how it charges, and who leads it. Write each fact as a plain sentence an AI system can quote without context.

Then remove or update every page that contradicts it. Redirect retired product pages, refresh old pricing, and add an update note to outdated posts rather than leaving them live and unchanged.

Structured data helps machines connect the dots. Organization markup with sameAs entries pointing to your official accounts tells search engines which profiles belong to you, which reduces entity confusion. Confirm that AI crawlers are not blocked from the pages you just fixed. The AEO/GEO checklist walks through crawler permissions, markup, and page structure.

Step 4: Update the profiles AI systems lean on

Some third-party profiles carry outsized weight because so many other sites copy from them.

• Google Business Profile: a verified profile lets you edit hours, address, category, and description directly. Google notes that verification reviews can take up to five business days.
• Google knowledge panel: if your brand has one, Google lets you claim it by signing in to an official site or profile such as Search Console or YouTube. Verified owners can flag a specific fact through Feedback, describe what it should say, and link to pages that confirm it. Google says feedback from verified owners gets priority review.
• Directories and data aggregators: update the listings that rank for your brand name, especially those an assistant cited in Step 1.
• Wikipedia and Wikidata: if your company has an entry, follow each site's conflict-of-interest rules. Propose corrections with published sources rather than editing your own entry directly.

Step 5: Report the error on each platform

Use the feedback tools, but keep expectations realistic. They send a signal to the platform; they are not a correction request with a guaranteed outcome.

• Google AI Overviews: click the thumbs-down icon, choose a category under "Report a problem," and add details in the text field. Google notes that the feedback includes your most recent query and its results, so report from the search that produced the error.
• ChatGPT and Perplexity: rate the response with the thumbs-down control and explain what is wrong. Include the correct fact and the page that confirms it.

Feedback works best after Steps 3 and 4, once corrected facts are live for any engine that retrieves fresh sources.

Step 6: Publish content that answers the question directly

If an assistant keeps getting one fact wrong, publish a page that answers that specific question in its first sentence. A page titled with the question people ask, such as how your pricing works or which regions you serve, gives retrieval systems a clear source to quote.

Accurate details tend to surface when they are written down plainly. In one ChatGPT answer about wedding villas in Costa Rica, the assistant described Villa Alberti with specifics that match the property's own published facts, including seven suites and 12,500 square feet. This is the core of Onward's AI search visibility services: write the facts buyers ask about so clearly that an assistant can repeat them without guessing.

How do you know the correction worked?

Re-run the prompts from Step 1 on a fixed schedule, weekly if possible, on every platform where the error appeared. Record whether the wrong fact still appears, whether the right one replaced it, and which sources are now cited. One clean answer is not proof; a correct answer that holds across several weeks is.

Villa Alberti's program shows that discipline in practice. Onward ran a fixed set of 58 booking-intent questions every week on seven AI platforms, and the villa's overall visibility went from 0.83% at its February baseline to 12.86% by early September. The case study on how a luxury villa won AI search visibility has the full timeline.

Frequently asked questions

How long does it take for AI to correct a brand fact?

There is no fixed timeline. Answers that rely on live web retrieval can change once corrected pages are crawled, while facts the model learned in training may persist until a newer model is released. Correcting your sources helps with both.

Can I ask OpenAI or Google to edit an answer about my company?

Not directly. Feedback tools let you report a problem, and a verified Google knowledge panel owner can suggest changes to that panel, but no platform offers a brand-level edit button for AI answers.

The bottom line

When AI gets your brand facts wrong, fix the record, not the answer. Document the error, trace it to its sources, correct what you control, update the profiles others copy from, report the problem, and track the same prompts until the correct facts hold. To see how AI assistants describe your company right now, schedule a free audit.