Fixing Wrong Brand Facts in Google AI Mode

AI Mode is a Google Search surface. Google's AI features documentation says a page must be "indexed and eligible to be shown in Google Search with a snippet" to appear as a supporting link in AI Overviews or AI Mode. It adds: "There are no additional technical requirements."

That tells you where errors come from. An AI Mode answer is assembled from pages Google already holds, and from what the model already knows. A wrong fact usually has one of three origins:

• Your own pages state the fact inconsistently, or an old page still says the old thing.
• A third-party page (a directory, review site, comparison article) states it wrong, and AI Mode cites it.
• No cited page says it. The model generated it, or blended two sources into a claim neither makes.

The first two are fixable at the source. The third is harder, and our guide on hallucination vs outdated answers covers how to tell them apart.

One caution: AI Mode is not AI Overviews. Google says the two "may use different models and techniques" and can return different links. Check them separately, and see wrong facts in AI Overviews for that surface.

Start with evidence, not edits. Work through this for each wrong fact:

1. Run the buyer question in AI Mode, signed out if you can, so personal context doesn't shape the result.
2. Record the exact wrong sentence, the date, and every supporting link shown.
3. Open each link and search the page for the claim. Note whether it says the wrong thing, the right thing, or nothing.
4. Repeat the question a few times and rephrase it. Answers vary per run, so one sighting is a data point, not a pattern.
5. Classify the source: your page, a third-party page, or no cited source.

Keep this log. It is your baseline, and the only way to know later whether anything changed. If you'd rather not do every run by hand, 99Visibility's free AI Mode Checker is one way to look at what AI Mode returns for a query.

If you're dealing with errors across several engines at once, the broader fix plan for AI getting your brand wrong sets the order of work.

Contradictions on your own site are the most common fixable cause, and the cause you control completely. A price on the pricing page, a different price in a blog post, and a third in the footer give any engine three versions to choose from.

Inventory the facts that matter

List the facts buyers and engines repeat: pricing tiers, founding year, headquarters, product names, integrations, founders, ownership. Search your own site for each one and note every place it appears.

Make each fact say one thing

• Pick the correct, current version and update every page that states it.
• Retire or redirect pages that carry old facts, such as old pricing or discontinued products.
• State the fact as a specific sentence in the page text: "The Team plan costs $40 per user per month." A plain, specific sentence on a fetchable page gives the engine something it can quote. That is the only on-page change with a positive experimental signal.

Pricing errors have their own patterns, covered in fixing AI answers that get your pricing wrong.

What not to bother with

Google's AI optimization guide says you don't need new machine-readable files, AI text files, markup or Markdown to appear in Google's generative AI features, and that you don't need to write a special way for AI. Structured data isn't required either. It isn't a lever for correcting AI Mode, so don't spend your fix budget there.

When AI Mode cites another site for your facts, that page is part of your answer. Being named correctly on the sites engines cite is associated with how brands appear in answers. Treat it as a strong association, not a guaranteed effect.

Work the list from your source log:

• Rank cited pages by how often they appear across your test runs. Fix the repeat offenders first.
• Use the site's own correction route: an editable listing, a vendor profile, a corrections email, or the author.
• Send one specific request: the wrong sentence, the correct fact, and a link to your page that states it.
• Re-check the page after they confirm. Then re-run your AI Mode questions.

The outreach steps and templates are in asking third-party sites to fix wrong facts.

Don't try shortcuts. Hidden text, cloaked pages for crawlers, or instructions planted on pages to steer AI answers are adversarial manipulation. They are illegitimate, they risk Google's spam policies, and the wrong-fact problem you started with gets worse if you're caught.

Your corrected page can't be cited if Google can't show it. Check these, as of October 2026:

• Indexing. The page must be in Google's index. In Otterly's published 2026 experiment, Google's AI surfaces almost never cited two sites after Google deindexed them, while Bing-backed Copilot kept citing them.
• Snippet controls. noindex, nosnippet, max-snippet:0 and data-nosnippet keep content out of AI features. Templates sometimes apply them by accident, so check the pages that hold your key facts.
• robots.txt for Googlebot. There is no robots.txt token for AI Mode. Googlebot rules are the control.
• Google-Extended. Google says it doesn't affect inclusion in Google Search. Blocking it won't remove you from AI Mode, and allowing it won't fix an AI Mode answer.
• Search Console's generative AI control. Inclusion is the default, so it's an opt-out. It covers AI Overviews, AI Mode and Discover generative AI features, and child properties can inherit the setting from a parent. As of October 2026 it's still rolling out to a subset of owners. If you see it, confirm nobody opted out.

Be plain with your team about the limits.

• Fan-out queries are unseen. Google says AI Mode may use a "query fan-out" technique, issuing multiple related searches across subtopics. The searches it actually runs aren't shown to you, so the question you test is a proxy for the real retrieval input.
• Google controls the model. Which pages get used, how they are combined, and what the model adds from its own knowledge are Google's decisions. Google says indexing and serving aren't guaranteed.
• Measurement is thin. Search Console's generative AI report shows impressions only: no clicks, no CTR, no position. Any "AI Mode rank" has no ground truth behind it.
• There's no published timeline. Google doesn't say how quickly a corrected page changes an answer.

So the honest scope is this. You fix the sources, remove the blocks, and re-check on a schedule. If the error survives once every cited source is correct, it may come from the model's trained knowledge, which correcting outdated facts past a knowledge cutoff addresses.