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AI Search Reputation Management

AI search reputation management is the work of auditing what AI assistants say about you, tracing the sources those answers are built from, and correcting the record at the source. AI assistants do not hold an opinion about you. They summarise search results, reviews, forums, news and public records. Change what they read and you change what they say.

AI search reputation management for ChatGPT, Gemini and Google AI Overviews
4,000+ complaints removed300+ happy clients98% success rate
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Tell us the name to check. A specialist prompts the major AI assistants, records what they answer, traces the sources behind it, and sends you a private report.

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What Is AI Search Reputation Management?

A buyer used to type your name into Google and read page one. Now they ask an assistant instead, and they get one paragraph with a verdict already formed. That paragraph is assembled on the spot from search results, review sites, forum threads, news articles and public records. If a complaints board post or a two-year-old news story is the loudest thing about your name, the assistant repeats it, cleanly and confidently, with no page two for you to hide on.

AI search reputation management is how you fix that. We prompt the major assistants the way a real customer, recruiter or investor would, write down exactly what each one answers, and then work backwards to the pages that produced the answer. From there it is reputation work we have done for years: remove what can be removed, suppress what cannot, strengthen the accurate and credible material, and make sure the facts about you are published in a form machines can read without guessing.

We Do Not Edit The AI. We Fix What It Reads.

Nobody can log into ChatGPT or Gemini and rewrite what it says about you, and you should be careful with anyone who claims otherwise. The models are not editable, and they refresh on their own schedule. What is editable is the evidence underneath: the search results, the reviews, the articles, the entity records and the structured data. That is the layer we work on, and it is the only layer that holds up over time. If a claim is false or defamatory, we also use the platform reporting routes and privacy request channels that apply to it.

If AI assistants are already answering questions about you the wrong way, talk to a specialist or call +91 8700 450 757.

Which AI Assistants We Audit

Every assistant retrieves differently, cites differently and updates on its own schedule, so we check each one rather than assume they agree.

ChatGPT

The default first stop for most buyers. We check the plain answer, the answer with browsing, and which pages it cites when it does look things up.

Google AI Overviews

The summary sitting above your search results. It is fed by what already ranks, so it usually moves when the underlying page one moves.

Google AI Mode

Google's conversational search surface, where follow-up questions can pull in sources that never appeared in the original result set.

Google Gemini

Answers inside the Google ecosystem, including the version people reach from mobile search and Workspace.

Perplexity

Heavily citation-led, which makes it the fastest way to see exactly which pages are driving a negative characterisation.

Microsoft Copilot

Reaches people through Windows, Edge and Office, and leans on Bing's index, so Bing results need their own attention.

Claude

Common in professional and enterprise settings, where a recruiter or a procurement team may be the one asking about you.

Grok and other assistants

Newer surfaces that lean on social conversation. We add whichever assistants matter for your industry and your market.

What Feeds The Answer About You

Before anything can be fixed it has to be found. These are the source types we trace an AI answer back to, in roughly the order they tend to cause damage.

Search Results

Assistants lean hard on what already ranks. A negative article, a complaints board thread or a scraped profile sitting on page one is usually the single biggest reason an answer goes wrong.

Reviews And Ratings

Google, Glassdoor, Trustpilot and marketplace reviews get quoted and summarised directly. A cluster of fake or policy-violating reviews becomes a sentence about your service quality.

Forums And Communities

Reddit, Quora and industry forums are cited far more often than most brands expect, because they read as first-hand experience. One old thread can outlive the issue it described.

News And Articles

Coverage of an old dispute, an investigation that was later dropped, or a story about a different person with your name. Assistants rarely carry the correction unless the correction is easy to find.

Entity And Reference Records

Knowledge panels, Wikidata, Wikipedia, company registries and directory listings. These decide whether a model knows who you actually are, or quietly merges you with someone else.

Your Own Website

Your site is the one source you fully control, and it is often the weakest signal you have, because the facts a model needs are buried in design instead of stated plainly.

How AI Search Reputation Management Works

A six stage process, run in order. Nothing is promised before the audit tells us what is actually driving the answer.

1

Audit the prompts

We build a prompt set that matches how people really ask about you: your name alone, your name with your company, is it legit, is it safe, comparisons with competitors, and the awkward questions your sales team already hears. Every answer and every citation is recorded.

2

Trace the sources

Each damaging claim is traced back to the specific pages that produced it. You get a mapped list of the offending URLs, the platforms behind them, and an honest read on which are removable, which are suppressible, and which are simply outdated.

3

Fix what can be removed

False, fake, defamatory and policy-violating content goes through the right channel: platform reporting, publisher outreach, search de-indexing requests, and legal grounds where they genuinely apply. Personal data requests are used where the platform offers them.

4

Strengthen what should be found

Where removal is not possible, we build and promote accurate, credible material that outranks the negative source, so the pages an assistant is most likely to read are the ones that tell the truth about you.

5

Supply machine-readable signals

Clear factual pages, structured data, consistent naming across every profile, corrected entity records, and crawler and llms.txt readiness, so the models have an unambiguous version of the facts to draw on.

6

Monitor and re-check

Answers are re-run on a set schedule across every assistant, because models refresh at different times and a fixed answer can drift back. You see what changed, where, and what we are working on next.

Find out what AI is telling your buyers

Most owners have never actually asked. The audit takes one conversation to start, and it tells you what each assistant says, which sources are causing it, and what can realistically be changed.

4,000+
Complaints removed
5,000+
Reviews collected
300+
Happy clients
98%
Success rate

What The Service Includes

An audit to start, then continuing work on the sources and signals behind the answers.

AI Answer Audit Report

A written record of what each assistant answers about you, the citations behind each answer, the specific claims that are wrong or damaging, and the source pages responsible. This is the document the rest of the work is built on.

Source Removal And Suppression

Removal of fake reviews, defamatory posts, false claims and policy-violating content wherever the platform rules or the law allow it, and suppression of the rest under accurate, credible material that ranks above it.

Entity And Structured Data Work

Correcting knowledge panels, reference records and directory listings, standardising how your name and company appear everywhere, and publishing the facts in structured, machine-readable form so models stop guessing.

Ongoing Monitoring And Re-Checks

Scheduled re-prompting across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, with alerts when a new negative source appears or an answer shifts, so problems are caught while they are still small.

Who This Is For

Anyone whose name gets typed into an assistant before a decision gets made.

Founders and executives

Your name is searched before a funding conversation, a board seat or a partnership. One unresolved story from years ago should not be the summary.

Companies and brands

Buyers ask assistants whether you are legitimate, how you compare, and whether people regret choosing you. The answer runs ahead of your sales team.

Doctors, lawyers and consultants

Trust professions where a single misleading review or an old complaint can decide whether a stranger picks up the phone.

Not sure where you stand?

Ask us to run the audit and see what the assistants are actually saying about your name today.

Talk to a specialist →

AI Search Reputation Management Questions

Can you change what ChatGPT says about me?
Not by editing ChatGPT, because no agency can do that and nobody should tell you otherwise. What we change is the material ChatGPT reads. Assistants generate answers from search results, reviews, forums, news and public records, so when those sources are removed, corrected, suppressed or strengthened, the answers move with them. Where a claim is false or defamatory we also use the platform reporting and privacy request routes that apply.
Does this cover Google AI Overviews and AI Mode?
Yes. Google AI Overviews and AI Mode are part of every audit. They are strongly driven by what already ranks in normal Google search, which means classic reputation work, removal, de-indexing and suppression, is usually the fastest route to changing what the overview says.
How long does it take to change an AI answer?
It depends entirely on the source. A removable review or post can come down in weeks, and once the source is gone the assistants stop repeating it at their next refresh. Suppression and entity work take longer, typically a few months, because new material has to earn its position before models start citing it. Each assistant also refreshes on its own schedule, so we verify rather than assume, and we give you an honest timeline after the audit rather than before it.
How is this different from SEO or generative engine optimization?
Generative engine optimization is about getting recommended in AI answers. This is about what those answers say when your name comes up, which means it starts with removal and correction rather than promotion. The two overlap in the technical work: both need clean structured data, strong entity signals and credible content. The difference is that we lead with the damage.
How often do you monitor the answers?
On a set schedule across every assistant we audit, with the cadence matched to how exposed you are. Anyone in an active dispute or a live news cycle gets checked far more frequently than a stable brand. You get alerted when a new negative source appears or when an answer shifts, and we re-run the full prompt set at each reporting cycle.
Why do assistants keep repeating outdated information about me?
Because the outdated version is easier to find than the current one. Models retrieve what is visible, well linked and clearly written, and an old article usually beats a correction that was never published anywhere prominent. Fixing this means making the current, accurate version the most retrievable thing about you, and removing or pushing down the stale source where we can.
Do you work with individuals as well as businesses?
Yes. The method is the same for a person and for a company: audit the answers, trace the sources, fix them. Individuals more often need entity correction, privacy requests and removal of personal information, while companies more often need review and forum work. The audit tells us which of the two your case really is.
What do I get from the audit itself?
A private report showing exactly what each assistant answers about you, the sources each answer is built from, which of those sources are removable, which need suppression, and what the work would involve. If your answers are already clean we will tell you that too.

Know what AI says about you before your next customer does.

One audit tells you what each assistant answers, which sources are driving it, and what can realistically be fixed. Private report, honest odds, no obligation.