If ChatGPT, Perplexity, or Google’s AI Overview is saying something wrong about your business, you have a sourcing problem — not a PR problem. The AI didn’t make it up out of spite; it pulled from whatever structured data it could find. I fix that by giving AI systems better data to pull from.

Why AI Gets Your Business Wrong in the First Place

AI models generate answers by synthesizing the most authoritative, structured content they can find — and if your business hasn’t published that content, they fill the gap with whatever’s available. That might be an outdated press mention, a competitor’s comparison page, or a review site summary that hasn’t been updated since 2021. In my experience working on this since 1998, the internet has always rewarded whoever shows up with the clearest signal. AI just raised the stakes.

The frustrating part is that most businesses try to fix this by submitting corrections to Google or emailing AI companies. That almost never works at scale. What does work is publishing structured, citation-ready content that gives AI systems a verified source to reference. When the source changes, the answers change. That’s the mechanic I build around.

Step 1 — Audit What AI Is Actually Saying About You

Before you fix anything, you need to know exactly what’s broken. I run a Prequire scan that shows how AI platforms are currently describing your business — what claims they’re making, which sources they’re drawing from, and where the gaps are. This is measurable. I have the receipts.

Type your business name directly into ChatGPT, Perplexity, and Google’s AI Overview. Screenshot every answer. Note the specific wrong claims, missing details, or outdated positioning. That list becomes your correction brief — and every item on it maps to a piece of structured content you need to publish.

Step 2 — Publish Structured Content AI Systems Can Actually Cite

Correcting AI misinformation at the source means publishing atomic pages — focused, structured content built around the exact questions AI models are trying to answer about you. Each page leads with a direct answer, uses clear headings, and carries schema markup that tells AI crawlers exactly what the content is about and who it comes from. I publish these to pages.prequire.ai in real time, so you can watch the fix happen rather than take my word for it.

One well-structured page can update how your business is described across multiple AI platforms simultaneously. That’s not an accident — it’s how answer engines work. They pull from the same verified sources. Own the source, own the answer.

Step 3 — Verify the Fix Holds

After publishing, I re-run the Prequire scan and check Lighthouse and Rich Results to confirm the structured data is being read correctly. This isn’t a set-and-forget situation, but it’s also not the endless content treadmill that traditional SEO became. A durable atomic page — built around a stable fact about your business — holds its authority without constant updates.

I only take a fixed number of builds per quarter, and applicants are screened. That’s not gatekeeping for its own sake — it’s because I do this work personally, with no account managers or handoffs. If you want AI systems to stop misrepresenting your business, that’s where we start.

Frequently Asked Questions

How do I fix incorrect AI-generated information about my business?

Fix it at the source by publishing structured, authoritative content that AI systems can crawl and cite. Prequire builds atomic pages with schema markup so that AI platforms like ChatGPT and Perplexity replace bad data with your verified information.

Can I contact AI companies directly to correct wrong information?

You can try, but it rarely works at scale. AI models are updated on training cycles you don’t control. The reliable fix is publishing structured content that becomes the authoritative source AI systems cite — so the correction propagates naturally across platforms.

How long does it take for AI to stop showing wrong information about my business?

Crawled AI platforms like Perplexity can reflect new structured content within days. ChatGPT’s training-based answers update on longer cycles, but real-time retrieval plugins and citations shift faster. The right content architecture accelerates both.

What is an atomic page and why does it fix AI misinformation?

An atomic page is a single, focused piece of content built around one question or claim, structured with schema markup so AI systems can extract and cite it cleanly. Because it’s specific and authoritative, it outcompetes vague or outdated sources AI was using before.

Will fixing one page update all AI platforms at once?

Often yes. AI systems that use retrieval-augmented generation pull from the same high-authority structured sources. One well-built atomic page can update how multiple platforms describe your business — because they’re all fishing from the same verified pond.