GUIDE · PART OF AI BRAND MONITORING

AI got your company wrong.
Here's how to correct it.

An assistant tells a buyer your old price, or that you serve a market you left years ago, or mixes you up with a company of a similar name. You can't edit the answer and there's nobody to ring. What you can do is find where the error came from and change that. This guide takes you through it.

How do you correct wrong facts in AI answers?

You can't edit an AI answer directly, so correction means changing the material the engine drew on. Record exactly what was said and on which engine. Work out what kind of error it is, then trace it to a source: a page of your own, a third-party page, or the model's own memory. Fix the sources you control, ask for corrections to the ones you don't, and check again over the following weeks.

Key facts

  • There is no edit button and no appeals process for an AI answer
  • Most wrong facts trace back to a source: an out-of-date page, often one of your own
  • Where an answer shows sources, you can see where the error came from. Where it shows none, it came from the model's training
  • Errors from retrieved sources can be corrected in weeks. Errors from training last until a newer model replaces the old one
  • Keep a copy of the original wrong answer. Without it you can't show that anything changed
  • SEORCE records what each engine says about you and the sources behind it

Last reviewed 15 October 2026 by the SEORCE team.

Why it's harder than it looks

No edit button, and nobody to call.

A wrong review can be answered. A wrong article can be corrected by its editor. An AI answer is generated fresh for each person, so there's no page to fix and no author to ask.

You hear about it late

A prospect repeats it to you

Answers are private. The first sign is usually a customer quoting something that isn't true.

It varies

Wrong on one engine, right on another

Engines read different sources, so the same fact can be correct in one place and wrong in the next.

Some of it is baked in

Training doesn't update

If the error is in what the model learned, no change to your site reaches it until a new model is trained.

In detail

What kind of error, where it came from, what to do.

The fix depends on the cause, so spend ten minutes on the first two before you touch anything.

Classify

Work out what kind of error it is.

Four kinds cover nearly everything. Each has a different likely cause.

  • Out of dateIt was true once: an old price, a retired product, a former name.
  • Mistaken identityYou've been confused with another company, or an older version of yourself.
  • Wrong categoryYou're described as a kind of business you aren't.
  • Made upA claim with no source anywhere, which the model produced by itself.
KindsOut of dateMistaken identityWrong categoryMade up
See entity mapping in AI Beacon →
What engines say about Ledgerly
PriceOld price, from 2024
Who it's forSays freelancers
Multi-currency supportCorrect
FoundedCorrect
Demo account · illustrative
Trace

Find where it came from.

If the answer shows sources, read them. More often than people expect, the wrong fact is sitting on a page they own and forgot about.

  • Your own pagesOld pricing pages, archived blog posts, an About page nobody updated.
  • Third-party pagesReviews, directories and listings written years ago.
  • No source at allThe model answered from training. You can't trace it, and it will change slowly.
CheckCited sourcesConsulted sources
See citation tracking in AI Beacon →
Sources behind the wrong price
PageLedgerly pricing, archived 2024 versionyour own page, still liveCited
ReviewLedgerly review, 2024third-party blogCited
ListingSoftware directory entrythird-party profileConsulted
Demo account · illustrative
Correct

Fix what you own, ask for the rest.

Start with your own site, because it's quickest and it's often the cause. Then go to the outside sources, in order of how often they're cited.

  • Update or remove your stale pagesAnd redirect the old ones to the current version.
  • State the facts in markup as well as textAutoFix repairs missing and malformed schema, and AI crawlers read the result.
  • Ask third parties to updateReviewers and directories will often correct a factual error if you send the right figure.
  • Report the answerMost assistants let you flag a reply. Do it, and don't rely on it.
TrackSources correctedAnswers re-checked
See prompt diagnosis in AI Beacon →
Corrections under way
Archived pricing page removedDone
Organization schema repairedDone
Reviewer asked to updateWaiting
Directory entry correctedDone
Answers re-checkedIn three weeks
Demo account · illustrative
How to do it

Correcting one wrong fact, start to finish.

Take them one at a time. Trying to fix everything at once makes it impossible to tell what worked.

STEP 1

Record it

The exact wording, the engine, the question asked and the date.

Brand sentiment →
STEP 2

Classify it

Out of date, mistaken identity, wrong category or made up.

STEP 3

Trace it

Read the sources the answer shows. Search your own site for the wrong fact.

STEP 4

Fix your own pages

Update, remove or redirect anything that still states it.

Optimise existing content →
STEP 5

Ask for outside corrections

Contact the sources cited most, with the correct information.

STEP 6

Check again

Ask the same question in a few weeks and compare with what you recorded.

AI brand monitoring guide →
Reference

Four kinds of error, and what each needs.

Kind of errorUsual causeWhat to doHow long
Out of dateA stale page, often your own.Update or remove it, and redirect the old URL.Weeks.
Mistaken identityA similar name, or unclear details about who you are.Make your identity consistent across your site and profiles.Months.
Wrong categoryOld positioning still described on your site or elsewhere.Rewrite the pages that describe what you do.Weeks to months.
Made upThe model filled a gap with a guess.Publish the correct fact plainly, so there's something to retrieve.Unpredictable.
How SEORCE does it

What was said, and where it came from.

AI Beacon records how each engine describes you and keeps the wording, so a wrong fact can be shown and then shown to have changed. Citation tracking gives the exact source behind it. Content Studio rewrites the pages you own, and AutoFix repairs the markup that states who you are.

Common questions

Frequently asked questions.

Updated 15 October 2026

Not directly. There's no edit button and no appeals process. You can flag the answer, which is worth doing, and then change the sources the answer was built from.

Usually because it read something out of date: an old page of yours, an old review or a stale listing. Sometimes it has confused you with a similar name. Less often it has filled a gap with a guess.

Weeks, where the engine looks things up on the web and you've fixed the source. Longer where the error is in what the model learned in training, which only changes when a new model is released.

Then it came from the model's own training, and you can't trace it. Publish the correct fact clearly on your own site and in your profiles, so that it's there for the engine to retrieve and for future models to learn.

Yes. Most assistants have a way to flag a reply. It costs a minute. Don't count on it producing a change by itself.

No, and nor can any tool. SEORCE shows what each engine says and which sources it used, and gives you the tools to fix the pages you control.

Yes. The free entity SEO analyser shows what Wikidata and Wikipedia hold about your company, and the browser extension audits any page you open. They show your own side of the story. What an engine says needs tracking.

Free to start

Find out what AI is getting wrong about you.

Add your site and ask the questions a buyer would. You'll get each engine's wording, and the sources it used.

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