Can different language versions of my site give AI conflicting facts?

Every language version of your site is its own URL with its own text. When an AI engine with live retrieval answers a question about your brand, it fetches pages and works from what they say. It does not know that your English pricing page was updated last month and your German one was not.

That makes an outdated translation a second source about your company, published by you, that disagrees with the first. Say you run a hypothetical project management tool. You raised your Pro plan from $20 to $25 and updated the English site. The Spanish and French pages still say $20. Anyone asking about your pricing can now get either number, depending on which page the engine retrieves.

This is the same problem as any internal contradiction, covered in whether mistakes on your own website cause AI errors. Translations just multiply it, because they are updated less often and checked by fewer people.

What it means: the facts you control are only as consistent as your least-maintained locale. The next move is to treat every language version as part of your brand fact set.

You can't see which page an engine retrieves for a given answer. But some conditions make a stale translation more likely to matter.

• The question is asked in that language. A user asking in Portuguese gives the engine a reason to look for Portuguese pages. Answers already vary by market, as covered in how AI describes your brand in different countries.
• The engine rewrites the query. OpenAI says ChatGPT search typically rewrites a prompt into one or more targeted queries. You can't observe those queries, so you can't rule out that one lands on an old locale.
• The translation is the only page with a specific fact. If only the Italian page lists an integration you dropped, it is the only page that can be quoted on it.
• The page is indexed and eligible. Google states that a page must be indexed and eligible to show with a snippet to appear as a supporting link in AI Overviews or AI Mode. A stale but indexed translation meets that bar.

Retrieval is also not the only stage. If an old translation was crawled before a model's knowledge cutoff, its facts may already sit in what the model knows without web access. Nobody can change that this quarter. You can change what the live pages say going forward.

The evidence supports a mechanism, not a measured effect.

What holds: engines that retrieve pages work from their text, and a specific fact stated on a fetchable page gives the engine a sentence it can quote. That works in both directions. A wrong fact on a fetchable page is just as quotable as a right one.

What no one has published: how often outdated translations cause wrong AI answers, or how engines choose between two of your own pages that disagree. A July 2026 critical survey of 45 GEO studies found no technique with a stable, cross-platform causal effect on discoverability. So fixing your translations is not a lever for getting cited more. It removes a source of error you created yourself.

For what engines do when outside sources disagree, see what AI does when sources disagree about your company. Keep in mind that answers also shift run to run for reasons unrelated to your site, which is answer variability. One wrong answer does not prove a translation caused it.

Not every difference is an error. Some facts are meant to vary by market.

• Currency and local pricing. A price in euros on the German site is fine if the page says it applies to that market.
• Availability. A feature or product sold only in some countries should say so plainly.
• Legal entity and address. A regional office can be listed, as long as the page doesn't imply it is your headquarters.

The risk is a regional fact with no stated scope. A page that says "Plans start at 15" with no currency or region reads as a global claim. State the scope in the sentence itself, not only in a site selector or a flag icon.

Also check rendering. Content that only appears after JavaScript runs may be invisible to many AI crawlers, as Vercel's crawler study found. If your locale switcher swaps text in the browser, the HTML an AI crawler fetches may show a different language or older text than visitors see.

Build this into your regular brand fact hygiene, not a one-off translation project.

1. List your core facts. Prices and plan names, product names, key features, founding year, headquarters, leadership, integrations, certifications.
2. Pull each fact from every language version. Read the raw HTML, not only the rendered page, so you see what a crawler sees.
3. Mark each difference as intended (scoped regional fact) or stale (an old value).
4. Fix the stale ones. Update the text, or redirect the translation to a current page.
5. Retire what you can't maintain. If a locale won't be kept current, a noindex tag keeps it out of Google Search and its AI features, per Google's robots meta tag documentation.
6. Repeat after every pricing or product change. Add translations to the release checklist.

The guide to consistent brand facts covers the wider process, and the free check for contradicting facts on your own site is a quick place to start. To see what engines say in each market, build a prompt set for multiple countries and languages.

Should I delete old translations instead of updating them? Only if you won't maintain them. A deleted or redirected page can't contradict you. If the locale serves real customers, update it, because removing it also removes a page those customers rely on. If you keep it live but can't update it soon, a noindex tag keeps it out of Google Search and its AI features until it is fixed. Either way, decide per locale rather than leaving it stale by default.

Does machine translation make AI errors more likely? No study in our evidence base measures that. The risk is not the translation method, it's drift. A machine-translated page that is regenerated after every update stays consistent. A carefully human-translated page that nobody revisits goes stale. What matters is whether every version states the current facts. Google's guidance says appropriate use of AI or automation is not against its guidelines, though mass-producing pages without value is.

Will fixing my translations get my brand cited more often? Nobody can promise that. Fixing translations removes conflicting facts you published yourself, which is in your control. Whether an engine retrieves, uses or cites a page is decided by the engine, and no published study shows a technique that reliably raises citations across platforms. Treat the fix as accuracy work. It reduces one cause of wrong answers without guaranteeing more mentions.

How do I know if a wrong AI answer came from a translation? Check whether the wrong value matches an old fact still live on one of your locales. If the answer quotes a price or feature that only appears on your French page, that page is a likely source. Some engines show cited links, which helps. Without citations, you can't be sure, since the model may also be repeating older training data or a third-party site.