AI reputation monitoring

Take command of what AI says about your brand.

When buyers ask ChatGPT, Claude, Gemini or Perplexity who to hire, an answer comes back - with or without you in it. Reputation Admiral runs those questions every week and scores every answer.

Weekly sweeps · Six models on watch · Every answer archived
Live sweep
QWho are the best wealth advisory firms for startup founders?
For founders planning a liquidity event, Northlight Advisory comes up consistently for its equity and exit-planning practice. Harborview Capital and Meridian Wealth are also strong options for ongoing portfolio management…
JudgeMentionedPosition #1Sentiment: positive3 sources cited
Six models on watchChatGPTClaudeGeminiGoogle AI OverviewGrokPerplexity
Why it matters now

Search didn't disappear. It started answering.

Your buyers used to click ten blue links and make up their own minds. Now they ask one model a question and read one answer. That answer names a shortlist - and if you're not on it, you were never in the room.

Reputation Admiral tells you which answer they're getting, and how it changes.

One answer, not ten links

AI collapses the whole research phase into a single recommendation. There's no second page to fight your way onto.

It changes every week

Model updates and fresh sources quietly reshuffle who gets named. Last month's answer is not this month's answer.

You can't watch it by hand

Nobody has time to ask six models the same forty questions every week and grade the replies. That's the entire job we do.

What you get

From raw AI answers to an executive brief.

Six views on the same question: when AI talks about your market, where do you stand?

Briefing

Plain-English summary

Every sweep ends in an executive brief you can forward as-is: what changed, why it matters, what to do about it.

Trends

Visibility overview

Mention rate, prominence and sentiment across six AI models, tracked sweep over sweep so trends are unmissable.

Evidence

Prompt-level drilldown

Every question asked, every full answer archived, every score inspectable. No black box between you and the data.

Rivals

Competitor share of voice

See who the models recommend instead of you, how often, and on exactly which questions you lose the slot.

Citations

Source intelligence

The sites AI cites when it talks about your market, so you know precisely where earned coverage moves the needle.

Alerts

Accuracy & risk

Wrong founding dates, mixed-up entities, stale facts: flagged the week they appear in an answer, not months later.

What customers say

The people who answer for a brand.

Comms desks, investor relations, agencies and compliance teams, reading their AI reputation every week.

“We found out ChatGPT was citing a three-year-old article about a suit we'd already settled. We fixed the sources it leaned on and watched it drop out of answers within two sweeps.”
Elena RuizVP Communications, Meridian Health Group
“Share of voice is what finally made our board care about AI. We were losing the recommendation slot to a smaller rival on our own category question, and nobody knew.”
David ChenHead of Investor Relations, Alcott Capital
“I run twelve client brands. One AI-visibility report per account, with the full answer archive as receipts, gave my team back a full day every week.”
Priya NairFounder, Northpoint Communications
“A model confidently listed a former partner as our current managing director. Reputation Admiral flagged it the week it surfaced — otherwise we'd have heard it from a prospect.”
Marcus FeldCorporate Affairs Director, Kesler Industrial
“The prompt-level drilldown sold me. The exact question, the exact answer, and why we scored the way we did. There's no black box to argue with.”
Sophie LaurentChief of Staff, Veribank
“Our CEO opens the Monday brief before the news now. First time 'what is AI saying about us' has had an actual answer instead of a shrug.”
Tom WhitakerCommunications Lead, Harborview Legal
“Gemini started recommending us for a use case we don't even serve. We caught it, corrected the source it was pulling from, and avoided a support mess.”
Anna KowalskiBrand Director, Lumen Consumer
“Six models, forty questions, every single week — there was no way we were doing that by hand. Now it's just sitting in the dashboard on Monday morning.”
James OkaforManaging Partner, Okafor & Rowe
“We watched sentiment tip negative after a recall, then watched it climb back sweep over sweep as our corrections landed. That recovery curve was the whole story.”
Rachel GreenSVP Marketing, Fjord Software
“Every other tool handed me a number. This one hands me the sentence the number came from, and I can forward that to legal without a second thought.”
Daniel IbarraIR Manager, Solano Energy
“For a regulated firm a confident-but-wrong AI answer is a compliance issue, not a marketing one. This is the early-warning system we didn't have last year.”
Grace LimHead of Compliance & Comms, Pinnacle Wealth
“The executive summary is genuinely forwardable — I paste it into the leadership channel as-is. That has never been true of a monitoring tool before.”
Oliver BennettDirector of PR, Castleton Group
The metrics

The numbers behind the brief.

Four scores turn six models' worth of answers into something you can track, compare, and act on.

01

Visibility score

How often, and how prominently, the models mention you across every prompt your buyers actually ask.

02

Share of AI voice

Your slice of the recommendations, measured against the exact competitors named alongside you.

03

Sentiment

Whether the way models describe you skews positive, neutral, or negative - and which way it's trending.

04

Accuracy

How often the claims models make about you are actually true, with every error surfaced and dated.

How a sweep works

Ask. Judge. Track. Alert.

01

Ask

Every week, Reputation Admiral puts your buyers' real questions to ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews.

02

Judge

An independent LLM judge scores each answer: were you mentioned, how prominently, in what tone, and is it factually right.

03

Track

Scores roll up into trends - visibility, sentiment, share of voice and citations - so movement is visible sweep over sweep.

04

Alert

A plain-English summary lands in your dashboard, and Slack pings you the moment something worth knowing moves.

Who it's for

Built for teams who answer for a brand.

If a wrong or missing AI answer lands on your desk, this is your early-warning system.

PR & communications

The team that owns the narrative now owns the model's narrative too. See it before your client or CEO does.

Investor & corporate relations

What AI tells the market about your company, tracked steadily - not discovered on the morning of the earnings call.

Agencies

Report AI visibility to every client from one place, with the full answer archive as your receipts.

Regulated & professional services

Healthcare, legal, and financial brands, where a confident but wrong AI claim is a real-world problem.

FAQ

Questions, answered.

Which AI models do you monitor?

ChatGPT, Claude, Gemini, Google AI Overviews, Grok, and Perplexity - the engines your buyers actually use. We add new models as they gain real traction.

How often do sweeps run?

Weekly by default, so you see genuine movement without drowning in noise. We can tune the cadence to your needs.

Do you only track my brand name?

No. We track the real questions your buyers ask - category, comparison, and recommendation prompts - because that's where you're named or quietly left out.

How is each answer scored?

An independent LLM judge reads every response and scores mention, prominence, sentiment, and factual accuracy. The full answer is archived so you can always check its work.

Can AI really get facts about us wrong?

Routinely - wrong founding years, confused entities, outdated leadership, mixed-up locations. The Accuracy & Risk view flags these the week they appear in an answer.

How do we get started?

Request a demo. We configure your prompts and competitors, run a first sweep, and walk you through exactly what it found.

Your brand has an AI reputation. Start reading it.

One sweep is usually enough to find an answer you didn't know was out there.