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AI reputation management

I work out exactly what AI systems say about your company, which claims are wrong and where they come from. Then the sources get fixed and the answers get tested again. No one can make a model change its answer, but you can take away the grounds for a wrong one.

10–15 business days Register of claims Sources of each error traced Re-test included

When do you need reputation work?

When a wrong answer costs you a client or puts your reputation at risk.

The model says untrue things

An AI system claims things that never happened: services you do not offer, other companies’ problems, invented facts.

The data is outdated

It quotes old prices, a closed branch, an executive who left or the company’s former name.

Old negative stories resurface

An issue resolved years ago keeps showing up in answers as if it were current.

The answer is incomplete

Each fact is technically correct, but taken out of context, so the overall picture is wrong.

Rebrand or launch

You are changing your name, leadership or product and need to see how it shows up in answers.

You are confused with others

Facts about a company with a similar name end up in the answer – including its problems.

What goes into
reputation work?

Reputation prompt set
  • Direct branded prompts: what the model says about you
  • Prompts about reliability, reviews and track record
  • Comparison prompts against competitors
  • Prompts about your people and leadership
Recording the claims
  • Prompts run several times each in the agreed AI systems
  • Every claim about the company pulled out of each answer
  • Each claim labeled: correct, outdated, incomplete or false
  • How often each claim repeats between runs
Breaking claims into checkable facts
  • Each claim reduced to a fact that can be checked
  • Checked against the company’s real data
  • Factual errors separated from opinions
  • Priority set by commercial and reputational damage
Tracing the source of each error
  • Where the model could have taken each false claim from
  • External articles, directories, review sites and forum threads checked
  • Outdated pages on your own site found
  • An honest call on whether each source can be fixed at all
Register of correct facts
  • The correct wording for every disputed point
  • Evidence: documents, publications, pages on your site
  • A public facts page others can link to
  • Wording for answering uncomfortable questions
Fixing the sources
  • Updates on your site and in your own profiles
  • Correction requests to platforms such as directories and review sites
  • New material that fills the information gap
  • A plan for sources that cannot be fixed
Re-testing
  • The same prompt set run again after 30 days
  • Claims compared before and after
  • A report on every item in the register
  • Monitoring during a rebrand, launch or leadership change

How does the project run?

Prompt set

I draft the list of branded prompts and agree it with you. 1–2 days.

Measurement

Runs, claims pulled out and labeled. 3–4 days.

Fact check

Claims checked against your real data and ranked. 2 days.

Sources

Where each error comes from. 2–3 days.

Corrections

Your site, your profiles, requests to platforms, new material.

Re-measurement

The same prompts after 30 days and a final report.

What do you get?

The register of claims is a working tool: it shows what is already fixed and what will take time.

XLSX

Register of claims

Every claim found, its status, how often it appears and the damage it does.

XLSX

Error source map

Where each false claim comes from and whether it can be fixed.

DOCX

Register of correct facts

The correct wording with evidence for every disputed point.

DOCX

Correction plan

What I do, what you do, what needs a lawyer, and in what order.

PDF

Original AI answers

Exports and screenshots of every answer checked – the evidence base.

DOCX

Re-test report

The status of every claim 30 days after the corrections.

Timeline and format

  • Main work – 10–15 business days
  • Re-test – 30 days after the corrections
  • Platforms answer correction requests in anywhere from a week to a month
  • Monthly support – a measurement every month and a response to new claims

What I need from you

  • Documents and data that confirm the correct facts
  • The company’s position on disputed points and old stories
  • Access to your profiles and site to make corrections
  • Your lawyer, where an official position is needed

Not included

  • Removing truthful negative material – that is neither possible nor honest
  • Fake reviews or paid removal services
  • Legal representation – a lawyer on your side handles that

How is the result measured?

By the share of answers with errors across the whole prompt set, not by one lucky or unlucky run.

Share of wrong answers

How many answers in the set contain false claims.

Sources fixed

What part of the error sources found has been dealt with.

Answer completeness

Whether key facts that were missing now appear in the answers.

Questions about AI reputation

Can you make ChatGPT stop saying untrue things about us?
Not directly. The model writes the answer, and no contractor can edit it. I work with the grounds for it: when the sources of the error are fixed and correct data appears where the model looks, a false claim gradually becomes less likely.
What about negative material that is true?
Real facts do not get hidden – that is impossible and backfires. The work is about the full picture: if a problem was solved, that should be stated just as publicly. Removing truthful material is not part of the service.
How soon will a false claim disappear?
It depends on the source. Data from your site and profiles updates within weeks after the next crawl. Information that went into a model’s training data can stay until the next model update. The report says plainly what can be fixed quickly and what is a long-term job.
Can you fix our reviews on Trustpilot, G2 or Google?
I do not write, buy or remove reviews. I check how review platforms feed into AI answers, flag reviews that break a platform’s own rules so you can report them, and help you answer the rest publicly and on the record.
We are in a legal dispute. Do you handle that?
Not on my own. A lawyer handles the legal side; my part is technical: recording the claims, finding the sources and building the evidence base. That is estimated separately.
We are planning a rebrand. When should we start?
Before the announcement. That leaves time to prepare the register of facts, update the sources and take a baseline measurement. Starting afterwards means first catching up with old information that has already spread across sources.

Discuss AI reputation

Tell me what AI systems get wrong about you. I will check it and reply within one business day with where it most likely comes from.

I reply within one business day. For a larger project, fill in the project brief.