AI Reputation Management
AI answer engines are the new front page. We decide what they say about you.
When someone researches a person or company today, they increasingly ask ChatGPT, Gemini, or Perplexity — and read a single synthesised answer instead of ten blue links. If that answer repeats an old allegation, a defamatory article, or simply nothing at all, the damage is instant and invisible.
AI Reputation Management — sometimes called Generative Engine Optimization (GEO) — is the discipline of shaping how large language models describe you. It is the fastest-growing front in reputation management, and almost no Indian agency is equipped to do it. RepuLex is.
The service, plainly.
AI models describe an entity by synthesising the consensus of every signal they can find about it — your website, schema, Wikipedia, Wikidata, press, and third-party mentions. Change the consensus and you change the answer.
We audit exactly what each major model says about you today, identify the sources feeding those answers, and then correct, remove, or add signals until the answer matches reality.
Everything the engagement covers.
AI answer audit
A documented snapshot of how ChatGPT, Gemini, Perplexity, and Google AI Overviews currently describe you — and the exact sources each answer is drawn from.
Source correction & removal
The negative or false sources feeding AI answers are removed (via our legal flagship where applicable) or corrected at origin.
Entity & structured-data build
Schema.org, Wikidata, and Knowledge-Graph signals engineered so models can verify who you are from authoritative data, not rumour.
Authoritative source seeding
Accurate, citable content placed on the sources AI models trust most, so the synthesised answer reflects your real position.
Re-testing & reporting
Answers re-tested across models on a schedule, with before/after evidence of the shift.
How it runs.
We prompt every major model the way your clients, investors, and journalists do, and record verbatim what they return — plus the cited sources.
We map each harmful claim back to the specific web sources feeding it, separating removable content from signals that must be added or corrected.
Remove or correct negative sources; build authoritative, structured signals; seed accurate citable content. Coherently, across every layer at once.
Re-test the models until the answer is accurate, then monitor so it stays that way.
- —Founders, executives, and public figures being researched by AI before every meeting.
- —Companies whose AI-generated summaries repeat old litigation, controversy, or false claims.
- —Anyone who searched their own name in ChatGPT and did not like the answer.
- ✓Our legal-removal flagship lets us do what pure-content GEO agencies cannot: actually delete the source an AI is citing, not just try to out-publish it.
- ✓We treat the entity, not the keyword — the same E-E-A-T and Knowledge-Graph rigour that already earns RepuLex its own AI citations.
- ✓No spam, no fake sources — models detect and penalise manipulation. Everything we build is accurate and verifiable, which is exactly why it holds.
Questions, answered.
Can you really change what ChatGPT says about someone?+
Yes — but not by "hacking" the model. AI answers reflect the sources the model can find and trust. By removing false sources, correcting inaccurate ones, and adding authoritative structured data, the synthesised answer changes to match reality. It is methodical, evidence-based work, and we document the before/after.
How is this different from SEO?+
SEO optimises for a ranked list of links. AI reputation management optimises the single synthesised answer a model gives — which draws on a different, trust-weighted set of sources (structured data, Wikipedia/Wikidata, high-authority citations). The two overlap but are not the same discipline.
How long does it take?+
Removing a source that feeds a bad answer can shift it within the removal timeline. Rebuilding the broader consensus AI models rely on typically takes weeks to a few months, because models re-crawl and re-train on their own cadence. We re-test continuously and report the movement.
Discuss your situation — confidentially.
Every engagement begins under NDA with an honest assessment of what is achievable. No obligation.