AI Gets Your Company History, Founders or Location Wrong: A Fix Checklist for 2026

Key takeaways

• AI gets basic company facts wrong when sources are thin, old, or in conflict. The model is usually repeating something it found, not inventing it.
• For brand-specific questions like "who founded X" or "where is X based", ChatGPT leans on a short list of sources. Only 21.3% of brand-specific responses cite 10 or more domains, and the most common count is 5 (Promptwatch Data, Sep 28 to Oct 4, 2026).
• Fix your own site first. Product and landing pages make up almost half of ChatGPT's citations for branded prompts, and corrections there last for months, while corrections in press coverage fade in about five weeks.
• Then fix the third-party sources AI cites about you: review sites, directories, Wikipedia or Wikidata, and business listings.
• Re-test the same prompts after every change and track the result. One check is not a fix.

Why AI gets company facts wrong

A wrong founding year feels like a hallucination. Most of the time it is something duller: a stale About page, an old press release, a directory listing from 2019, or two sources that disagree and a model that picks one.

This 5WPR guide on fixing wrong AI answers about your company frames it the same way: AI gets companies wrong when sources are thin, old, or conflicting. That matches what I see. The common causes are:

• A company that has rebranded, merged, or moved and still has old facts scattered around the web.
• A founder who left, whose name is still on third-party profiles as CEO.
• A common company name that gets confused with another business.
• Multiple locations, where the model picks the wrong one as headquarters.
• No clear, plain-language statement of the facts on your own site.

The last one is the easiest to fix and the most often ignored.

What the data says about brand questions

Before you start editing pages, it helps to know where AI looks when someone asks about your brand.

Branded prompts lean on a short source list

According to Promptwatch's data on unique domains per ChatGPT response (Sep 28 to Oct 4, 2026), almost half of all ChatGPT responses cite 10 or more domains. Brand-specific prompts are different. Only 21.3% reach that number, 40.7% cite 5 or fewer, and 13.8% cite 3 or fewer.

That matters for you. For a question like "where is Acme headquartered", ChatGPT is working from a handful of pages. Each one carries more weight, so one wrong source can set the answer.

Your own pages are a large share of what gets cited

In Promptwatch's report on which content types ChatGPT cites (same week), product pages were 22.8% of branded citations... more precisely, 23.3%, and landing pages were 22.8%. That is almost half of branded citations pointing at pages describing what a company sells. Reviews rose to 5.6% for branded prompts, more than three times their overall share. FAQ pages were 4.8% and press releases 2.1%.

So the order of operations is clear: your own pages first, then the review and reference sites that fill the rest of the short list.

Where you fix matters for how long it sticks

Promptwatch's content half-life data tracked pages ChatGPT cited on July 6, 2026 for 90 days. After 60 days ChatGPT still cited 69% of landing pages and 67% of docs. Product pages, reviews, and how-tos sat around 55% with a half-life of 74 to 77 days. News lost half its pages within 36 days.

Practical meaning: a correction on your landing page or docs can persist for months. A correction that lives only in a news story or press release is gone in about five weeks. Do not rely on a press push as your fix.

The fix checklist

Work through these in order. Each step feeds the next.

1. Write down the ground truth

Create one internal document with the facts that must be right:

• Legal name and any former names
• Founding year and the founding story in two sentences
• Founder and co-founder names, with current roles and any who have left
• Headquarters address, plus other offices and what each does
• Parent company, acquisitions, and key dates
• Employee count range, if you publish it

If your team cannot agree on these, AI will not either. Settle internal disagreements first.

2. Audit what AI says today

Ask the same set of questions across several assistants. Use plain phrasing that real people use:

Who founded [Company]?
When was [Company] founded?
Where is [Company] headquartered?
What is the history of [Company]?
Who is the CEO of [Company]?
Where does [Company] have offices?

Run each one in ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. Record the answer, the cited sources, and what is wrong. Test in the countries and languages that matter to you, because answers vary by location.

Doing this by hand works for a first pass. It does not scale and it is noisy, since answers change between runs. A platform like Promptwatch can run these prompts on a schedule across the real interfaces of the major AI engines and break out the individual claims AI makes about you (its Brand Narrative feature), so you can see which wrong claim shows up how often and on which model.

Other tools in this space worth a look if you want to compare: [tool:profound], [tool:otterly-ai], and [tool:peec-ai]. The GEO software directory at bestgeosoftware.com lists more.

3. Find the source of each error

For every wrong claim, look at the citations AI gave. Usually one of these is the culprit:

• An old version of your own About page
• A directory or data aggregator with stale data
• A review site profile you never claimed
• A Wikipedia or Wikidata entry with outdated info
• A news article that got a detail wrong and was then repeated
• Social profiles with an old bio

When the cited source is a page you do not control, note it. That goes on the third-party list in step 6.

If the answer has no citation (common with models answering from training data), you cannot trace it to one page. In that case the fix is volume and consistency: make the correct fact appear in many reliable places.

4. Fix your own site

This is where you have full control, and where the data says the biggest share of branded citations sit.

• Rewrite the About page with explicit, factual sentences. "Acme was founded in 2014 in Rotterdam by Jane Doe and John Smith." Not "Our journey began with a dream."
• Put the facts on the homepage, too. Short and plain.
• Add a plain-language FAQ page that answers the exact questions above. The content type report recommends this for branded questions.
• Update the leadership or team page. Remove people who left, or mark them as former.
• Make the contact or locations page state the headquarters clearly, and list other offices with what they do.
• Keep specs, prices, and positioning on product and landing pages complete and factual, since ChatGPT quotes them directly.
• Remove or redirect old pages that state outdated facts. Do not leave a 2018 press page saying you are based somewhere you left.

Pricing pages count as landing or product pages in the data, so the same rule applies to them.

5. Add structured data

Schema markup will not force a model to say anything, but it removes ambiguity for crawlers that parse it. Add Organization markup on your homepage:

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Acme",
  "legalName": "Acme B.V.",
  "foundingDate": "2014",
  "founder": [
    {"@type": "Person", "name": "Jane Doe"},
    {"@type": "Person", "name": "John Smith"}
  ],
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "1 Example Street",
    "addressLocality": "Rotterdam",
    "addressCountry": "NL"
  },
  "sameAs": [
    "https://www.linkedin.com/company/acme",
    "https://www.wikidata.org/wiki/Q000000"
  ]
}

The sameAs links tie your entity to your other profiles, which helps when your name is shared with other companies. Keep the markup identical to the visible text. Mismatches create the conflict you are trying to remove.

Also check that AI crawlers can read your pages at all. A blocked bot, a JavaScript-only About page, or a login wall means the model never sees your correction. The free AI crawler URL inspector and Agentic Readiness Check are quick ways to test this, and Promptwatch's AI crawler logs show whether bots actually fetched the updated page.

6. Fix the third-party sources

Because the short source list includes sites you do not own, this step is where many fixes succeed or stall.

The Wikipedia and Knowledge Panel processes have their own rules and timelines, so read their current guidance before you start. I did not verify the exact current steps for either in this guide, so check the official help pages.

One more thing: for the 2 to 5 domains ChatGPT cites for branded prompts, the review sites and forums on that list shape how you are described. Find out which they are for your brand and prioritize those.

7. Use the feedback channels

ChatGPT, Gemini, Perplexity, and Claude all have thumbs-down or report buttons on answers. Use them, and include the correct fact and a link to a page that states it. It will not rewrite the model overnight, but it is cheap and costs nothing. Do not expect it to replace steps 4 to 6.

8. Publish content that states the facts repeatedly

One About page is a thin signal. Consistent statements across your site are stronger:

• A company history or timeline page with dates
• Founder bio pages with their roles
• A locations page per office
• A press kit or media page with a fact sheet
• Blog posts that mention the facts naturally (for example, a founder story)

Keep every statement identical. If the history page says 2014 and the press kit says 2015, you have just recreated the conflict.

If you need to produce and publish this kind of content at scale, Promptwatch's Content Agent can draft pages against the gaps it finds and publish to WordPress, Webflow, or Framer. For a manual workflow, an editor and a CMS are enough.

9. Re-test and track

Wait for crawlers to revisit, then run the same prompts again. Keep a simple log:

Answers vary between runs, so test several times and across days before declaring victory. Monitoring tools help here because they run prompts on a schedule instead of once. Options include [tool:promptwatch], [tool:profound], [tool:otterly-ai], [tool:ziptie], and [tool:hall-ai]. A cheaper starting point is the free AI visibility report from Promptwatch.

Quick triage by problem type

Mistakes to avoid

• Fixing the press instead of your own site. News content fades in about five weeks in ChatGPT citations. Your landing pages and docs last far longer.
• Editing your own Wikipedia article. It is against the rules when you have a conflict of interest and tends to get reverted.
• Leaving old pages live. A 2019 page stating an old address competes with your new one.
• Marketing language in place of facts. A model cannot extract a founding year from a mission statement.
• Testing once. Run each prompt several times, on several models.

How long it takes

It depends on which engine and where the wrong fact comes from. Engines that search the live web, like ChatGPT Search, Perplexity, and Google AI Overviews, can pick up a corrected page within days to weeks once it is crawled and cited. Answers drawn from a model's training data change only when the model is updated, and you cannot control that schedule. That is why the repetition across reliable sources matters: it improves your odds the next time the model is trained or retrieves.

If you want to hand this off, an agency that handles AI search work can run the audit and the fixes. 1001 SEO Media does this kind of generative engine optimization work, and the contact is [email protected].

Summary checklist

1. Write the ground truth document.
2. Audit answers across ChatGPT, Gemini, Perplexity, Claude, and AI Overviews.
3. Trace each error to a cited source.
4. Fix your About, homepage, FAQ, team, and locations pages.
5. Add Organization schema that matches visible text.
6. Update Wikipedia and Wikidata through proper channels, Knowledge Panel, Google Business Profile, LinkedIn, Crunchbase, review sites, and directories.
7. Report wrong answers through each assistant's feedback button.
8. Publish consistent history, founder, and location content.
9. Re-test the same prompts on a schedule and log the results.

Start with step 2 today. Ten minutes of asking the questions will tell you whether you have a small problem on one page or a spread of conflicting sources, and that decides how much of the rest you need. For broader context on how AI search cites sources, see Promptwatch Data.