AI brand reputation process: question, source gathering, source merging and business summary.
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AI brand reputation management

Fix what AI says about your business

AI assistants now describe your company to people before they ever reach your website. When that description is wrong, outdated or unfair, we trace it to its source and work to correct it.

  • Every claim traced to a source
  • Corrections at the source
  • Monitored every month
01What it is

What is AI reputation management?

AI reputation management is the work of checking what AI assistants say about your business and correcting what is wrong. People now ask ChatGPT, Gemini or Perplexity about a company before they visit its website, and they tend to believe the summary they are given.

People now ask an assistant about a company before they deal with it, and they tend to believe the summary they are given. If that summary quotes an old price, a closed branch or a one-sided reading of your reviews, you may never learn why the enquiry did not arrive. Checking is the first step, because you cannot correct what you have not seen.

AI reputation management at a glance

AI brand reputation management is the work of checking how AI assistants describe a business and correcting what is inaccurate. An assistant cannot be edited directly. It repeats what it finds on review sites, directories, news pages and your own website, so the fix is made at those sources and then confirmed by testing the assistant again.

ExampleSomeone asks an AI assistant

Is this company any good?

BeforeTraditional reputation managementTraditional monitoring
  • Review sites: watched
  • Search results: watched
  • What the AI answer says: not checked

Watches review sites and search results.

With usAI reputation managementAI reputation management
  • Wrong price: traced and corrected
  • Old opening hours: corrected
  • One-sided review summary: being fixed

Also tests what the assistants actually say about you, and fixes the sources behind it.

In practice
An AI answer cannot be edited. The assistant repeats what it finds on review sites, directories, news pages and your own site. So the correction is made at those sources, and the assistant is then tested again to confirm the answer has changed.
Who it is for
Businesses that have changed prices, services, locations or ownership, and any business that has found an AI tool describing it wrongly.
What it is not
It is not the removal of genuine reviews and it is not the posting of fake ones. It corrects inaccuracies.
02How it works

How an AI assistant forms its view of your business

An assistant holds no file on your company. Each time it is asked, it builds a description from what it can find, in four steps.

  1. 1

    Someone asks about you by name

    Typical questions are whether you are reliable, what you charge and what customers say.

  2. 2

    The assistant gathers what exists

    It draws on its training data and, in most tools, a live search: your site, listings, review platforms, news and forums.

  3. 3

    It merges the sources

    Where the sources disagree, it may repeat the most common or most recent version, and that version can be the wrong one.

  4. 4

    It states the result as fact

    The person receives one confident summary and rarely opens the sources behind it.

03Why it matters

A wrong answer is repeated to every person who asks

A bad review is read by a few people. A wrong AI summary is given, with confidence, to everyone who asks about you.

  1. Assistants repeat old information

    A closed branch, a former price list or a service you no longer offer can stay in AI answers long after you changed it on your own site.

  2. One source can colour the whole summary

    If the page an assistant relies on is a single complaint thread or an old article, the summary inherits its tone.

  3. You are rarely told

    No alert is sent when an AI tool starts describing you badly. Most businesses find out from a customer.

04Is it for you

Signs you need AI Brand Reputation Management

If two or more of these sound familiar, this service is likely to pay back. If none do, tell us and we will say so.

Tick the ones that sound familiar

Not sure where you stand? We will check for you.

Ask for the free audit
05Who uses it

Who AI Brand Reputation Management is for

Any organisation that people look up before they buy can be misdescribed. These are the ones that feel it first.

SDMAccuracy first, whatever the field
  • Healthcare providers

    Patients read a summary of treatments, clinicians and sites before they book.

  • Financial and legal firms

    A misquoted fee or licence status is a compliance problem, not only a marketing one.

  • Hotels and restaurants

    Guest feedback gets condensed into one line that decides the reservation.

  • Rebranded or relocated companies

    Former names and addresses keep surfacing long after the move.

  • Consultancies and agencies

    Prospects vet you with a chatbot ahead of the first call.

  • Schools and training providers

    Last year’s fees and course lists are still being quoted.

  • Property and trades

    A single complaint thread can drown out years of good jobs.

  • Software companies

    Retired features and old pricing tiers resurface in comparisons.

06What is included

What our AI reputation service includes

Find the problem, fix the source, confirm the result.

Request a free audit
  1. Brand prompt testing

    We ask the main assistants the questions people ask about you by name, and log exactly what each one says.

  2. Accuracy review

    Every factual claim is checked with you and marked as correct, outdated, wrong or misleading.

  3. Source tracing

    We identify the pages each assistant cites or appears to draw on for the claims that need fixing.

  4. Corrections at source

    Listings, profiles, directories and your own pages are updated, and publishers are asked to correct errors.

  5. Stronger first-party facts

    Clear About, pricing and policy pages with structured data, so assistants have an accurate version to use.

  6. Monthly monitoring

    The same brand prompts are re-run each month and any new inaccuracy is flagged.

07Comparison

AI reputation management vs traditional

The differences that matter when you decide where to put time and budget.

AspectThe usual wayTraditionalWhat we doAI reputation management
What is monitoredReview sites and search resultsWhat AI assistants say when asked about you
Main problemNegative reviews and articlesInaccurate or outdated summaries
Where the fix is madeOn the review or resultAt the source the assistant drew on
How success is checkedRatings and rankingsRe-running the same prompts
SpeedOften immediateDepends on sources being re-read
08Our process

How AI reputation management works

Six stages. Recording, verifying and tracing take about three weeks. Corrections and monitoring then continue each month.

Week 1

Brand prompt list

We write down the questions people ask about you by name: whether you are any good, what you charge, what your reviews say and how you compare with a named rival. You approve the list.

You receive

A fixed brand prompt list.

Weeks 1 to 2

Record what the assistants say

The prompts are run in the main assistants. Every answer is captured word for word, with the date and any sources shown.

You receive

A brand answer log.

Week 2

Verify with you

We go through each factual claim with you, on a short call or in a shared sheet, and mark it as correct, outdated, wrong or misleading. Only you can confirm what is true about your business.

You receive

An accuracy report listing every claim that needs attention.

Weeks 2 to 3

Trace each claim to its source

For each problem we find the page the assistant cites or appears to draw on. It may be an old listing, a news article, a review thread or a forgotten page on your own site.

You receive

A correction plan, split into fixes we make and requests we send to others.

Month 2 onward

Correct at the source

We update the listings, profiles and pages within your control. For third-party pages we write to the publisher with evidence and follow up. Your About, pricing and policy pages are strengthened with structured data, so assistants have an accurate version to use.

You receive

A log of every correction made or requested, with its status.

Every month

Re-test and monitor

The same prompts are run again. We report which answers now reflect the corrected facts and flag anything new.

You receive

A monthly monitoring report.

Timings are typical for a single website; your proposal sets out the exact schedule.

09Working with us

How we work with you

Sachkhand Digital Marketing has worked with businesses in 30 countries since 2017. The team is remote-first and keeps to your time zone, and the specialists who audit your site are the ones who do the work. This is how the work is shared on an AI reputation management engagement.

You

What we need from you

Your input, mostly at the start
  • Your current facts: hours, prices, services and locations
  • Owner access to your listings and profiles
  • Evidence to support corrections, such as proof that a branch closed
  • One named person who can confirm what is accurate
SDM

What our team handles

Everything else, start to finish
  • Testing and logging what each assistant says
  • Tracing claims back to their sources
  • Updating listings, profiles and pages on your site
  • Correction requests to publishers, and the follow-up
  1. Free audit before any quoteWe look at your site first. After a 30-minute call you get a written proposal within 48 hours, with the scope, the timeline and the cost.
  2. One account managerA single point of contact who knows your account, on WhatsApp and email, with a reply within one business day.
  3. Plain-English reportingReports match your own analytics and are followed by a review call. A weak month comes with the reason and the plan.
  4. No lock-in contractOngoing work is billed monthly and can be stopped with 30 days' notice.
10Deliverables

What you receive

  • A brand answer log showing what each assistant says about you, word for word.

  • An accuracy report listing each wrong or outdated claim and where it comes from.

  • A correction plan split into fixes we make and requests we send to third parties.

  • Updated profiles and pages with consistent, current facts.

  • A monthly monitoring report on the same prompts.

We tell you this before you start, not after.

Request a free audit

What we will not promise

  • Nobody can edit an AI answer directly. Corrections are made at the sources and take time to be picked up.
  • We do not remove genuine reviews or fair criticism, and we do not post fake reviews. We correct inaccuracies and help you earn real feedback.
  • Third-party publishers decide whether to change their pages. We can ask and escalate, not compel.

What you can count on

  • A dated baseline before work starts, so progress is measured and not guessed.
  • The agreed scope of work, delivered every month.
  • A plain answer at each review if something is not working, with what we will change.
11Business impact

How AI reputation management helps your business grow

Inaccurate AI answers cost enquiries you never hear about. This is what correcting them is worth.

Targets we plan against, for engagements of six months or more

  • +178%AI search visibilityTarget by month 6
  • 94%AI Overview citation ratePriority question set
  • 3×Brand mention growthAcross AI tools
  • +62%Branded searchTarget by month 6
Outcome 1

Fewer buyers put off by wrong facts

A wrong price, a closed branch or a discontinued service turns people away before they reach you. Correcting the source closes a leak you could not see.

How we measure itInaccurate claims open against inaccurate claims resolved.

Outcome 2

Sales conversations start from the truth

When the assistant describes you correctly, your team spends less time undoing a wrong first impression.

How we measure itThe answer log, and feedback from your sales team.

Outcome 3

A fairer summary of your reviews

More genuine reviews and resolved complaints mean the summary reflects the typical customer experience, not one old thread.

How we measure itReview volume and rating on the platforms the assistants cite.

Outcome 4

Problems found in weeks

Monthly monitoring picks up a new inaccuracy soon after it appears, not after a customer mentions it or a deal is lost.

How we measure itA monthly report on the same brand prompts.

Published client results

  • 1.8KAI mentionsHome services franchise client
  • 218Pages cited in AI answersPlumbing and HVAC client
  • ~70×Organic visitsFranchise client, about 1K to 69.8K
  • 98%Client retention600+ clients in 30 countries
See the case studies

What we guarantee

We do not guarantee a ranking or a mention in an AI answer. The search engines and assistants decide that, and no agency controls them. We guarantee the work, the measurement and the honesty.

  • A dated baseline before work starts.Every result is measured against a starting point you have seen.
  • The agreed scope, delivered every month.You know what will be done before the month begins.
  • Honest reporting.Reports match your own analytics. A quarterly review tells you plainly if something is not working.
  • White-hat methods only.No bought links, no fake reviews and nothing that risks a penalty.
  • Your approval before anything is published.No page, pitch or listing change goes live without your sign-off.
  • No lock-in.Billed monthly. Stop with 30 days' notice.
12Common mistakes

Mistakes we see most often

These come up in almost every first audit. Each one is avoidable.

  • Mistake 1

    Trying to “correct” the assistant directly

    Feedback buttons rarely change future answers. The source it read has to change.

  • Mistake 2

    Suppressing instead of fixing

    Burying a source does not help if the assistant still reads it. Correct the facts where they are published.

  • Mistake 3

    Leaving your own site vague

    Clear, dated facts on your own pages give assistants something authoritative to use.

  • Mistake 4

    Expecting to remove genuine criticism

    Honest reviews are part of the record. The aim is accuracy and balance, not removal.

13Do it yourself

Five checks you can do this week

You do not need us for the first steps. These take under an hour and show you where you stand.

Want the full picture?

Request the free audit
  1. Ask three assistants “What do you know about [your business]?”
  2. Ask them whether your business is any good and why.
  3. List every statement that is wrong or out of date.
  4. Look at the sources cited beside each wrong statement.
  5. Correct the facts on your own site and main listings first.
15Key terms

AI Brand Reputation Management: key terms explained

Hallucination
An AI assistant stating something that is not supported by its sources.
Source tracing
Finding the web page an incorrect statement came from.
First-party facts
Information you publish about yourself on your own website and profiles.
Re-testing
Running the same prompts again to confirm a correction has taken effect.
People also search for
  • AI reputation management
  • LLM reputation management
  • AI brand reputation
  • AI brand monitoring
  • AI brand intelligence monitoring
  • fix what ChatGPT says about my business
  • AI brand sentiment tracking
  • correct AI misinformation about a company
  • AI search reputation services
  • brand accuracy in AI answers
16FAQ

AI Brand Reputation Management: common questions

Straight answers to the 9 questions we are asked most.

Is yours not here?

Send it to us and you get a reply within one business day.

Ask your own question
What is AI reputation management?

It is the work of checking how AI assistants such as ChatGPT, Gemini and Perplexity describe your business, and correcting inaccurate or outdated statements by fixing the sources those assistants rely on.

Can you change what ChatGPT says about my company?

Not directly. No agency can edit an AI answer. What we can do is correct the listings, profiles and pages the assistant draws on, give it accurate first-party information to use, and re-test until the answer reflects the corrected facts.

How long do corrections take to appear?

It varies. Assistants with live search can reflect a corrected source within days or weeks. Information held in a model's training data changes only when the model is updated, which is outside anyone's control.

Can you remove negative reviews from AI answers?

We do not remove genuine reviews. If a summary is one-sided because it relies on a single source, we work on resolving the underlying complaint, earning more real reviews and making sure accurate information is available.

How is this different from normal reputation management?

Traditional reputation management focuses on review sites and search results. AI reputation management adds the step of testing what assistants actually say, because they combine many sources into one summary that people may never check.

What kinds of errors do you most often find?

Out-of-date prices and opening hours, closed locations still listed, services you no longer offer, confusion with similarly named businesses and summaries based on a small number of old reviews.

How often should AI answers about a brand be checked?

Monthly is enough for most businesses. After a rebrand, a move or a public issue, weekly checks for a period are sensible.

What if the assistant invents something with no source?

We strengthen clear, dated facts on your own site and trusted profiles so the assistant has reliable information to draw on, and report the error through the platform’s feedback route. Then we re-test.

Is this the same as online reputation management?

It overlaps. Review and listing work is part of both. The difference is that we test what AI assistants actually say and trace each statement to its source.

Free, with no obligation

Find out what AI tells people about you

Send us your business name and website. We will test the main assistants and show you exactly what they say, before you commit to anything.

  • No cost for the audit
  • Written proposal in 48 hours
  • No lock-in contract
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