Correcting wrong information about your company in AI answers
I trace an incorrect claim back to the page producing it, correct or outweigh that source, submit it for recrawl, and re-test after several weeks. Where a claim comes from a model's own memory rather than a retrievable page, I say so instead of billing you for work that can't reach it.
100
+Completed projects
Websites, landing pages and SEO projects for businesses in different niches and markets.
15
Years of experience
Hands-on experience in SEO, website development and digital strategy.
17
+Industries covered
From local services and startups to real estate, e-commerce and B2B projects.
3
Working languages
English, Polish and Russian — with content and structure adapted to each market.
What correcting wrong information in AI answers includes
Evidence captured before anything changes
Each wrong answer screenshotted with the prompt and the date. Answers change; without the record there's no way to verify afterwards whether anything improved.
Source tracing for every claim
The page producing the claim, found rather than guessed. Frequently it isn't your site: an outdated directory listing, an old press item, a review profile, a competitor's comparison page.
Classification: correctable or not
A claim retrieved from a live page can be corrected. A claim from the model's training data can't be, until a retrain. You're told which before any work is quoted.
Correction of what's yours
Pages fixed, dated, and made consistent — because one corrected page against six stale ones loses, which is why corrections revert.
Third-party sources handled
Correction requests where platforms accept them, and outweighing where they don't. Sources that can't be changed get outranked rather than argued with.
Recrawl and re-test
Corrected URLs submitted, including to Bing — which matters more than its traffic share suggests, because several assistants ground their search in it. Then the original prompts re-run after several weeks and compared against the screenshots.
Why correcting AI misinformation happens at the source, not with the platform
The instinct on finding that an assistant describes your company incorrectly is to contact someone about it. That instinct is why most of this effort goes nowhere. No channel exists through which a business corrects its own record with an AI assistant, and the feedback buttons that do exist are a signal rather than an edit.
What changes an answer is changing what the assistant reads. When it searches the web, it retrieves pages and summarises them — so the wrong claim exists somewhere public, and fixing that source changes the claim on the next crawl. Not because a request was processed, but because the input changed.
The step that makes an AI correction hold
One corrected page against six stale ones loses. That's why corrections revert: the source gets fixed, the answer improves for a fortnight, and then the older material reasserts itself because it's still there and still says otherwise.
Making the correct fact the consistent version everywhere — your site, your profiles, your listings, every directory carrying your details — is the step that makes a correction hold. It's also the least interesting part of the job, which is presumably why it gets skipped.
The honest limit: what can't be corrected in AI answers
Some claims can't be reached. If the wrong information comes from the model's training data rather than a retrieved page, source corrections don't touch it, and it persists until that model is retrained — on the platform's schedule, not yours, and possibly months away.
These are identifiable: ask the same question with search enabled and disabled. If the answer is right when the assistant searches and wrong when it doesn't, the error is in the model.
The workaround isn't a fix but it works: make the correct version dominant enough in retrievable sources that search-grounded answers stay right regardless of what the model remembers. Since a growing share of answers involve search, that covers most of the practical exposure — and I'd rather explain that than sell you a campaign against something no campaign reaches.
What this AI correction service doesn't cover
Not the assistant's opinion of you, only its facts. If an answer says something accurate that you'd rather it didn't, that's a different problem and mostly not a technical one. The method here corrects wrong claims; it doesn't suppress true ones, and I don't take that work.
This is one of four services under AI-Ready SEO & GEO, the broader work of making a business legible and accurate to AI search.
How the AI misinformation correction runs
Baseline and evidence
The wrong answers captured with prompts, dates and screenshots. If an audit was done, this is already in hand; if not, it's the first step.
Tracing and classification
Each claim followed to its source and marked correctable or not. You get this before the work is quoted, so the quote covers only what can actually move.
Correction and consolidation
Your own pages fixed and dated, third-party sources corrected where possible and outweighed where not, and the correct fact made consistent everywhere it appears.
Recrawl and verification
Corrected URLs submitted for recrawl, then the original prompts re-run after several weeks and compared against the baseline screenshots.
