Do you know what AI says about your brand?
AI systems build a cognitive model of your brand and use it to answer, compare, recommend or exclude. Without your knowledge.
Gap between intended and AI-perceived positioning: high. Competitive framing wrong on 3 out of 4 platforms.
“[Brand] is a viable option, but it’s worth noting that some users have reported issues with...”
We monitor how your brand is represented on
AI decides how to tell your brand story. Every day. Without your consent.
When a decision maker asks ChatGPT or Perplexity about your industry, they are delegating their judgment to a system that synthesizes, interprets and delivers an answer as if it were expert opinion. The result is a response that sounds objective, feels credible and is often deeply wrong.
Four invisible operations AI performs on your brand every day:
Answers
It describes who you are using inaccurate, outdated or partial information, presented with the tone of objective truth.
Positions
It places you in a competitive category you never chose. “SMB tool” instead of “enterprise solution.”
Excludes
When it comes to certain budgets, use cases or markets, it simply does not mention you. Silently.
Warns
It inserts implicit warnings: ‘some users report issues with...’, ‘may not be suitable for...’ that erode trust before the first touchpoint.
Four operational phases to turn AI Brand Governance from an unknown problem into a measurable strategic asset.
Monitor
We collect structured data on how major AI systems describe your brand through descriptive, comparative, recommendatory and critical queries. The output is the Brand Health AI Dashboard™: a panel showing AI Presence Rate™, Citation Quality Index™ and Silent Warning Frequency™.
Diagnose
We identify the structural causes behind the anomalies. The Source Intelligence Map™ reveals which sources AI systems use to build your brand’s cognitive model. The AI Perception Gap Report™ quantifies the distance between your intended positioning and what AI actually perceives.
Shape
We build the correct informational foundations AI systems rely on: proprietary content architecture, semantic consistency, third-party ecosystem. The output is the Content Architecture Plan™ and the deployment of verifiable, citable trust signals.
Correct
Direct intervention on the sources and framings that generate inaccurate representations. This includes removing problematic sources, replacing inaccurate narratives and realigning competitive positioning. The Governance Cycle Report™ closes the loop with quantitative evidence.
Your brand’s AI readiness
Entity
AI must recognize you as a distinct, verifiable entity—not confuse you with similar or competing ones. The prerequisite for any effective governance.
Prompt
You need to be the answer when your ideal customer asks an AI system for advice. Presence in the queries that matter for your business.
Clarity
Your content must be accurate, up-to-date and citable: AI must be able to summarize it without distortion. Source quality, not quantity.
Find out how AI tells your brand story
40 strategic queries tested on ChatGPT, Perplexity, Gemini and Google AI Overviews. Two meetings: kickoff and executive debrief. Three concrete deliverables.
AI Brand Governance Report
Executive-ready document with AI representation analysis, quantified AI Perception Gap™, risk area mapping and competitive benchmark.
Board Slide
Visual summary ready for the board. Communicates the strategic risk and the need for governance in an immediate format.
Governance Recommendation Memo
Action plan with prioritized interventions based on the RIM Matrix™ (Impact² / Effort), estimated effort and expected results per area.
What clients ask us
Find out what AI says
about your brand
Request an AI Brand Audit. Fixed fee, no lock-in, report in 30-45 days.
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