Reputation management for people
Before a meeting, a hire, a deal or a date, people now ask an AI who you are, the same way they search Google and Wikipedia. The answer is written from old articles, court records, forum threads and whoever shares your name, and it is delivered with total confidence. We measure it, trace it and improve it across multiple platforms.
Who we work with
When your name is a prompt
Executives and founders
Your name is a due-diligence question. Investors, boards, partners and recruiters ask AI first and read the filing second.
Law firms and consultants
Clients ask AI whether to trust you. One old complaint or a settled matter can outweigh achievements until the record is corrected.
Public figures and private people
A viral moment, a lawsuit or a namesake with a record can define you in AI answers for years. Consensus hardens unless it is challenged early.
What we measure
The answer, at scale
01
The questions people actually ask
Sampled thousands of times across ChatGPT, Gemini, Claude, Perplexity and Google AI, with a confidence level on every finding. Not one screenshot on one afternoon.
02
Sentiment and framing per model
How each model characterizes you, which facts it leads with, which it omits, and where the models disagree with each other.
03
Sources and namesakes
The exact pages each answer rests on, including the ones about someone else with your name, and the stale or false claims that keep getting repeated.
04
Change over time
A baseline, then re-measurement after every action, so you can see the answer move and catch a new narrative while it is still forming.
The work
How we improve the answer
Establish the authoritative record
Owned profiles, biographies and structured data that state the verifiable facts plainly, so models retrieve the current, accurate version of you.
Earn corroboration where models look
Interviews, profiles and coverage on the sources each model already trusts, developed with your communications team. Wikipedia eligibility is reviewed by our sister company, WhiteHatWiki.
Retire and outweigh the stale
Where content is wrong or outdated we work with the publishers and platforms. Where it cannot come down, we make the accurate record heavier than the old one.
Confirm and keep watch
Re-sampled with receipts, then monitored. You get an alert the day a new story starts shaping the answer, not a quarter later.
Find out what AI says about you.
Every engagement is confidential. Your prompts and results are never shared, benchmarked against other clients or used as examples.