Can mistakes on my own website cause AI errors about my brand?

When an AI engine searches the web to answer a question about you, it pulls a handful of pages into its context and writes from them. It doesn't read your whole site. It reads whatever its retrieval step returned for that query.

That matters because you can't predict which page gets pulled. OpenAI's help page on ChatGPT search says it typically rewrites the user's question into one or more targeted queries before sending them to search providers. A question about your pricing might retrieve your pricing page. It might also retrieve a 2023 launch post that quotes an old price.

If both pages are in context and they disagree, the model has two sentences it can quote. Nothing guarantees it picks the current one. The result looks like an AI hallucination to you, but the wrong number came from your own site.

The practical rule follows directly: every core fact should read the same on every page that states it. Our guide to consistent brand facts covers the full process.

Most contradictions aren't on the pages you look at every week. They sit on pages nobody has opened since they shipped. Check these first:

• Pricing: the pricing page, plan comparison tables, checkout pages, help-centre articles and old announcement posts. See inconsistent pricing pages for a quick way to compare what AI says against your current prices.
• Company facts: founding year, headquarters, headcount, ownership and leadership on the About page, footer, press page and investor page. Your About page should be the clearest single statement of these.
• Product names: renamed products, retired features and old integrations that still appear in blog posts and docs.
• Markup and metadata: any structured data block or meta description that repeats a price or a fact. These are easy to forget when the visible page changes.
• Translations: localised pages often lag the main site. Different language versions can carry last year's prices for months.

Say you run a hypothetical project management tool that raised its Starter plan price in spring. The pricing page is current. The footer, two comparison posts and the German site still show the old price. Any of those five pages can end up in an AI answer.

Be clear about the strength of this. No published study measures how often contradictions on a brand's own site cause AI errors. The link is a plausible mechanism, not a measured effect.

Two findings support taking it seriously. First, a critical survey of 45 GEO studies (arXiv 2607.14035, July 2026) concluded that already-retrieved content can causally alter how it is cited or used. Once your pages are in the model's context, what they say matters. Second, the 252,000-trial factorial study (arXiv 2605.25517) found that including explicit price information helped consistently. Stating a specific fact plainly gives the engine a sentence it can quote.

The same survey found no technique with a stable, cross-platform effect on whether a page gets discovered in the first place. So consistency isn't a ranking lever. It's about making sure that when your site is used, it can only supply the right answer.

Clean pages solve one part of the problem. Three conditions limit what they can do.

Answers from training data

Some answers come from the model's memory with no live search. That memory is frozen at a cutoff. OpenAI's model documentation lists a February 16, 2026 knowledge cutoff for its GPT-5.6 models and August 31, 2025 for the Instant model used in ChatGPT. A price you changed after the cutoff won't appear in those answers, whatever your site says now.

Content crawlers can't read

Vercel's crawler study found that ChatGPT and Claude crawlers fetch JavaScript files but don't execute them. If your current pricing table renders only after JavaScript runs, those crawlers may see an empty table or older static text. Put core facts in the raw HTML.

Other sites stating it differently

Review sites, directories and old press coverage can repeat outdated facts. Your own site can't overrule them directly. See what AI does when sources disagree for how to handle third-party conflicts.

This is fully in your control, and you can do it in an afternoon for a small site.

1. List your core facts. Prices per plan, plan limits, founding year, headquarters, product names, key integrations, leadership.
2. Find every page that states each fact. Search your CMS and run a site search for each price, year and product name. Include docs, help centre, footer, translations and markup.
3. Pick one source of truth per fact. Usually the pricing page or About page.
4. Make every other page agree. Update the text, or remove the fact where it isn't needed.
5. Handle outdated pages. Update old posts with a dated note, redirect them, or keep them out of AI answers. Google documents noindex, nosnippet, max-snippet and data-nosnippet as the on-page controls for that.
6. Check rendering. Confirm each core fact appears in the HTML before JavaScript runs.
7. Repeat after every price or product change.

Our free check for contradicting facts speeds up step 2. Afterwards, the free checker on this site shows what AI engines currently say about you for up to three buyer questions. If answers are still wrong after the cleanup, follow the fix plan for AI getting your brand wrong.