AI reputation management

The first answer people read is no longer a search result.

ChatGPT, Gemini and Copilot now summarise you in a paragraph, to customers, partners and candidates alike. We audit what they say, trace the sources behind it, and correct the record so the summary changes.

Book a consultation
AI assistant answer — monitored check-in 14 of 26
Prompt: “Who is [client name]?”
Source 1 — corrected Source 2 — owned Source 3 — monitored
Why it matters

Three ways AI gets you wrong.

A model’s description of you is assembled from sources it trusts. Change the sources and the description changes with them.

01

Outdated narratives

Models lag behind reality. Long after a rebrand, a departure or a resolved matter, generated descriptions still cite the legacy version of the story.

02

Misinformation & hallucination

Left unchecked, an assistant will repeat stale facts or fabricate details outright — stated with the same confidence as the accurate parts.

03

Competitive disadvantage

Where a peer’s AI profile is accurate and current and yours is not, you lose ground in decisions that are increasingly made before anyone speaks to you.

Why Reputation Citadel

Established practice, plus our own research.

We apply what is known to work alongside our own testing, and deliver consistently regardless of the profile in front of us.

Innovators in AIRM

We test new AI strategies continuously behind the scenes, so client work runs on what we have already proven.

Data-driven results

Our proprietary platform guides strategy and measures how generated answers shift in response to it.

White-glove service

Discreet, fast work for executives, private individuals and the firms that advise them.

Cross-channel expertise

SEO, press and content strategy run together — because that is how the models assemble their memory of you.

Case study

Countering AI misinformation for a prominent private individual.

Entrepreneur & investor  ·  90-day programme

A well-known entrepreneur and investor found that AI assistants were repeating outdated and damaging claims about his background.

Speaking invitations and partnership conversations were being lost before anyone spoke to him.

Actions taken
Comprehensive AI audit

Every instance of legacy or false information across the major models was identified and traced to source.

Targeted cleanup

More than 75 outdated bios and directory listings were purged or archived, with redirects and no-indexing where appropriate.

Unified messaging

A current, accurate biography was deployed across his own site, LinkedIn and key industry profiles, supported by structured FAQ content.

Ongoing validation

Fortnightly check-ins confirmed generated answers matched the corrected narrative in over 90% of cases.

Ready to own your AI narrative?

Start with an audit of what the models currently say. You will see the exact answers, the sources behind them, and what can be changed.

Request an AI audit