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How to Fix AI Getting Your Brand Wrong (Old Prices, Wrong Features)

By the AEOeye editorial team·Updated Oct 3, 2026

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Photo by Alena Darmel on Pexels

The short answer

You can't edit what an AI believes, so you fix what it reads. Work out which engine is wrong and whether the error comes from stale training memory or a retrieved page. Then correct the fact on a page you own and on the third-party sources engines pull from. Use each product's feedback button as a signal, not a fix. No vendor publishes a correction timeline.

An assistant telling buyers your plan costs $29 when it costs $49, or crediting you with a feature you retired, is not a ticket you can file. Every major product has a feedback button. None of the help pages we read promises to change a specific answer.

What works is mechanical: find where the wrong fact came from, fix that source, make the right fact easy to quote, then re-test.

Why does AI get your brand wrong?

AI gets brands wrong by two routes: stale memory from training, and weak pages pulled in at answer time. Neither checks your current price list.

Is AI wrong about you, or just not naming you?

Check both, because the fixes differ: no mention is a visibility problem, a wrong mention is a source problem.

In AEOeye's audit records, absence was the bigger problem: 157 of 892 answers named the audited brand, and only 1 of those 157 mentions was negative (144 positive, 12 neutral). The snapshot covers 127 self-selected audits of 27 brands from June 26 to September 7, 2026. Read it as a pattern in our data, not a market statistic or engine comparison: over half the answers are Claude's (aggregates, method).

Our free audit shows ChatGPT's real answers to three unbranded buyer questions, so it shows whether you are named, not whether your price is right. If AI never names you, start with why AI doesn't mention your brand. If it names you wrongly, keep reading.

How do you find where the wrong fact comes from?

Ask the same branded questions in every engine, log each wrong claim with the sources the answer shows, and match each claim to a page. A claim that matches a shown source is a retrieval error. A claim with no matching source is usually stale memory or a guess.

  1. Write five branded questions: price, features, audience, alternatives, and whether a retired product still exists.
  2. Ask each in ChatGPT, Gemini, Perplexity, Claude and Google AI, with web search on where offered.
  3. Log the claim, engine, date and every linked source.
  4. Open each source and find the wrong claim on it.
  5. Mark claims with no source as memory errors. Those are the slow ones.

Start with your own site. Old pricing pages, archived PDFs and retired product posts are the one source you can fix today. Google says the Removals tool takes a page out of its results within a day, but the effect lasts about six months, so update or remove the page itself.

A man with eyeglasses holding a magnifying glass up to his eye in a grassy field

Where does the correct fact need to live?

On a page you control, in plain text, and then on the few third-party profiles that describe you. Consistency matters more than any single listing, because conflicting sources make engines guess (entity SEO explains why).

  1. Your canonical page. Put the current fact in the first sentence of your pricing, product or about page, with a visible date.
  2. Make it readable. OpenAI says sites opted out of OAI-SearchBot will not be shown in ChatGPT search answers, and Perplexity says PerplexityBot surfaces and links websites. In AEOeye's crawler access study (October 2026), 60 of 375 homepages, including 24 of 88 e-commerce sites, blocked or challenged our self-identified crawler. It is a convenience sample with one fetch each (data), but check your firewall logs.
  3. Google's own surfaces. Google says knowledge panels are generated automatically from public information and are not created or deleted by hand, but verified owners can suggest edits and get a review within a few days. Local businesses can edit their verified Business Profile.
  4. Wikidata and Wikipedia. Wikidata is not open to every brand. An item needs a sitelink, or a clearly identifiable entity with serious and publicly available references, or a structural need. Wikipedia strongly discourages conflicted editors from editing directly and lets them propose changes on talk pages.
  5. Directories. Claim and correct G2, Crunchbase, LinkedIn and app-store listings.

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How do you write a correction AI will pick up?

State the current fact in the first sentence, date it, name the old value once, and keep the wording identical everywhere. Retrieval quotes passages, so each fact must make sense when lifted out of the page.

So fix visible text first; schema is cheap insurance, not the lever (structured data guide).

What feedback channels exist in each AI product?

Every major product has a thumbs-down or report control. Use it once per wrong answer, but treat it as a signal: no help page we read promises a fix.

How fast can you fix it?

Nobody publishes a correction timeline for brand facts, so any "2 to 8 weeks" claim is a guess, including the one on this page's previous version. What vendors do document is narrower: Google says crawling takes a few days to a few weeks with no guarantee, and OpenAI and Perplexity say robots.txt changes reach their systems within about a day.

Retrieval-backed answers can change once your page is recrawled. Memory-backed answers change only when a new model ships (how ChatGPT's two clocks work).

Measure it yourself: ask the same five questions weekly for six weeks and log which engines moved and which cited your page. Request a recrawl of the corrected page in Search Console.

What if the wrong info is on a site you don't control?

Ask the owner to correct it, send a dated source, and if that fails, out-publish it. You cannot remove someone else's page: Google's Removals tool covers pages hosted on your own site.

  • Press and blogs: email the author with the correct fact and a link to your canonical page.
  • Wikipedia: if you are connected to the brand, disclose it and propose the change on the talk page.
  • Review sites: claim the profile and edit it.
  • Defamatory or unlawful claims: ChatGPT and Gemini both have legal-report routes, but take advice from a lawyer first.
  • Nothing works: publish a fresher, consistent page for the same question and earn links to it. Stale pages stay quotable until something stronger replaces them.

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Key terms

Knowledge cutoff
The date after which a model's training data stops. Anthropic says each Claude model has one, so facts that changed later are missing from the model's memory unless it searches the web. ↗
Retrieval-augmented generation (RAG)
A technique where a model fetches external documents at answer time and grounds its response in them, instead of relying only on training memory. Fixing a retrieved source can change these answers faster than waiting for a new model. ↗
Wikidata
A free, collaboratively edited knowledge base that stores structured facts about entities such as companies. Items need a Wikimedia sitelink or serious, publicly available references. ↗

Step-by-step

  1. 1

    Write five branded questions

    Cover price, features, who the product is for, closest alternatives, and whether a retired product still exists.

  2. 2

    Ask every engine and log the evidence

    Ask ChatGPT, Gemini, Perplexity, Claude and Google AI the same questions. Record each wrong claim, the engine, the date and every linked source.

  3. 3

    Match each wrong claim to a source

    Open the linked sources. A claim found on a shown page is a retrieval error; a claim with no source is a memory error or a guess.

  4. 4

    Fix or remove your own stale pages

    Update or remove old pricing pages, PDFs and retired-product posts. Request a recrawl of the corrected page in Search Console.

  5. 5

    Publish the current fact answer-first

    Put the fact and a visible date in the first sentence of the canonical page, name the old value once, and add a short FAQ that mirrors the question.

  6. 6

    Correct third-party profiles

    Suggest edits to your knowledge panel, update your Business Profile, claim directory and review listings, and follow Wikidata and Wikipedia rules for conflicts of interest.

  7. 7

    Send feedback in each product

    Use the thumbs-down or report control in ChatGPT, Google AI Overviews, Gemini, Perplexity and Claude, once per wrong answer.

  8. 8

    Re-test weekly for six weeks

    Re-ask the same questions every week, log which engines changed and which sources they now cite, and keep working on any source that is still stale.

EngineWhere answers come from (per vendor docs)What you can fixTiming signal in the docs
ChatGPTTraining memory plus ChatGPT search; OAI-SearchBot surfaces sites in search featuresYour pages (allow OAI-SearchBot) and the third-party pages it citesrobots.txt changes take about 24 hours to reach search; no figure for content changes
Google AI Overviews and AI ModeGoogle Search; supporting pages must be indexed and snippet-eligiblePage text, knowledge panel, Business ProfileRecrawl takes a few days to a few weeks, no guarantee
GeminiNot described on the Gemini Apps help page we readTest with your branded questions; fix whatever it shows or citesNone documented
PerplexityLive search; PerplexityBot surfaces and links websitesYour pages and the cited third-party pagesrobots.txt changes take up to 24 hours; no figure for content changes
ClaudeTraining data with a stated cutoff; cited sources when it uses web searchYour pages for search; memory errors wait for a new modelListed cutoffs range from August 2023 to June 2026

Key takeaways

  • You can't edit a model's belief; you can fix the pages and profiles it reads.
  • Diagnose first: a wrong claim that matches a shown source is a retrieval error, one with no source is memory.
  • Fix your own stale pages first, then Google's surfaces, Wikidata, and directory profiles.
  • Write the fact answer-first with a date, name the old value once, and treat schema as secondary.
  • Feedback buttons are signals, not corrections. Nobody publishes a fix timeline, so measure weekly.

See how AI talks about your brand

Run a free AI visibility audit in under a minute.

FAQ

Can I tell ChatGPT or Gemini directly that a fact about my brand is wrong?+

You can send feedback, but you cannot edit the answer. ChatGPT, Gemini and Google AI Overviews all offer thumbs-down or report controls, and Google says feedback helps it improve AI Overviews. None of the help pages we read promises to correct a specific brand fact, so fix the underlying sources as well.

Will schema markup fix wrong pricing in AI answers?+

Not on its own. Offer markup can state your current price in a machine-readable way, and Organization markup helps Google disambiguate you. But Google says AI Overviews need no special optimization beyond indexing and snippet eligibility. Put the current price in visible text first, then add markup so the two agree.

How long until AI shows the corrected information?+

No vendor publishes a timeline for brand facts. Google says crawling takes a few days to a few weeks, and OpenAI and Perplexity say robots.txt changes take about a day to reach their systems. Memory-based answers change when a new model ships. Re-ask the same questions weekly and log the results.

Why does only one AI engine get my brand wrong?+

Engines read different sources and carry different knowledge cutoffs. One may cite a stale review while another answers from newer memory. Anthropic's list of Claude cutoffs alone spans August 2023 to June 2026. Find the source or cutoff behind the specific wrong engine instead of assuming all five share one cause.

What should I do if the error is on my Wikipedia article?+

Do not edit it directly if you are connected to the brand. Wikipedia strongly discourages conflicted editors from changing affected articles directly. They can propose changes on the article's talk page, and paid editing must be disclosed.

Sources

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