Reputation management for companies
AI now writes the first paragraph about your company for every buyer, journalist, candidate and regulator who asks. It blends your site, your competitors’ comparisons, reviews, news and forum threads into one answer, and it changes daily. We measure what it says, trace why, and change it.
Who we work with
When the AI answer is your first impression
Brands in regulated or contested markets
Healthcare, finance, legal and any category with a review culture. Models reach for the loudest sources, not the most accurate ones.
Companies with a stale or wrong description
Old leadership, old pricing, a retired product, a lawsuit that settled years ago. Models repeat it until the record changes.
Businesses that AI shortlists
When a buyer asks for the best option, the answer is a ranked list with reasons. Being absent, or present for the wrong reason, is a revenue problem.
What we measure
Share of the answer, and why
01
Share of the answer
How often you appear, where you rank and who appears instead, across the prompts your buyers use, sampled thousands of times with confidence levels.
02
Sentiment, bias and framing
How each model describes you, the adjectives and comparisons it reaches for, and the category or political bias in how it treats your space.
03
Misinformation and stale facts
The specific false or outdated claims in circulation, which sources seed them and which models repeat them.
04
Source concentration
The handful of pages every answer rests on. Some you control, most you do not. That map is the plan.
The work
How we change the answer
Fix the record at the source
Authoritative facts pages, structured data and technical retrieval fixes, so models pull the current truth from your own site instead of a third-party summary of it.
Earn the citations that matter
Corroboration from the publishers, communities and reference sources each model trusts for your category, run with your communications team and never as spam. Wikipedia eligibility is reviewed by our sister company, WhiteHatWiki.
Correct the comparisons
Where competitor comparison pages or affiliate content frame you badly, we publish the specific, verifiable counter-record and make it the easier thing to cite.
Prove it and stay ahead
Every change re-measured with receipts, ongoing monitoring, and an alert the day an incident starts changing the answer.
Incidents
When something goes wrong
A recall, a lawsuit, a viral complaint. Models absorb it within days and can repeat it for years. We baseline immediately, watch daily, and respond with facts on the channels the models read. You cannot take an answer down. You can only outweigh it, and the earlier you start, the less there is to outweigh.
Find out what AI is telling your buyers.
A confidential read of the prompts that decide your deals, across every major model, with the sources behind every claim.