AI systems are deciding which brands consumers find, trust, and buy from.
Most brands have no idea what AI says about them – or whether consumers can find them at all.
When a consumer searches for a product, asks which brand to consider, or plans a purchase using an AI tool, AI decides what they see. Before they reach your website, AI has already shortlisted options, attributed features, and routed intent. For most commercial brands, this process is invisible, unmonitored, and producing material revenue loss.
See what AI says about your brand ->

Purpose

Why Markets Leaders

AI Search Invisibility – Your brand may be absent when consumers search for your product – at the exact moment they’re ready to buy.
AI Discovery Omission – AI builds shortlists and itineraries without you. Consumers never consider brands AI doesn’t surface.
AI Accuracy Distortion – ~50% of brand knowledge queries return material distortions. Wrong earn rates, wrong cancellation terms, wrong operator attribution.



The Diagnostic

ARADP – AI Revenue Architecture Defence Programme

Structured diagnostic across multiple AI platforms. Tests visibility, discovery, and accuracy across 16 diagnostic classes. Quantifies revenue at risk across five loss pathways.

Confirmed diagnostics have identified between hundreds of thousands of euros and tens of millions of euros in annual revenue at risk per client.


Three Engagement Tiers

AI Visibility Scan – Entry diagnostic. Visibility Score + top findings + revenue estimate. 5–7 days.

Full Diagnostic + Strategic Brief – Complete 16-class diagnostic. Proprietary remediation roadmap. 4–6 weeks.

Annual Monitoring — Baseline re-run. DRS improvement tracking. Annual AI Accuracy Report.


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Defending revenue architecture against AI mediation risk.

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