PREPARE FOR THE FUTURE
Markets Leaders
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 ->
AI Representation Diagnostics · 10+ Years E-commerce Experience
10+
Years Of E-commerce Experience
Purpose
Why Markets Leaders
AI Accuracy Distortion — ~50% of brand knowledge queries return material distortions. Wrong earn rates, wrong cancellation terms, wrong operator attribution. Being visible in AI is not the same as being represented correctly.
AI Search Invisibility — Your brand may be absent when consumers search for your product category – at the exact moment they are ready to buy.
AI Discovery Omission — AI builds shortlists and itineraries without you. Consumers never consider brands AI does not surface.
Answer Engine Optimisation (AEO) tells you whether AI mentions your brand. It does not tell you whether AI mentions you correctly. ARADP is the only programme that confirms ground truth before testing — which means when we find a distortion, we can prove it. Our findings are not estimates or observations. They are classified against confirmed primary source documentation, quantified in revenue terms across five loss pathways, and mapped to the specific team and specific fix that resolves them. 47 distortion patterns confirmed. Nine clients. Three markets. No other practice has built this.
AEO gets you mentioned. My proprietary programme (ARADP) confirms what AI says about you when it mentions you – and fixes it when AI gets it wrong.
Services
Services
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. Every finding mapped to the responsible team, the specific fix, and the realistic timeline.
Built on 800+ classified queries across many confirmed client diagnostics. Hundreds of distortion patterns confirmed. Confirmed diagnostics have identified between AUD$1M and AUD$11M in annual revenue at risk per client.
Five Engagement Phases
Phase 0 — Quick Scan EUR 5,000 — credited in full against Phase 1 if you proceed within 60 days. 8 targeted queries across multiple AI systems. 32 classified observations. One specific, verifiable finding delivered within 48 hours. Fee credited against Phase 1 if you proceed.
Phase 1 — Full Diagnostic — Scoped after Quick Scan. Complete 16-class diagnostic. Ground truth confirmed. DRS scoring by class and platform. Revenue at risk modelled across three scenarios. Proprietary CIA (Control /Influence / Accept) remediation roadmap. 2–3 weeks.
Phase 2 — Remediation Programme — Scoped per engagement based on diagnostic findings and number of responsible teams. 12-week coordinated programme across all responsible internal teams. Weekly progress reporting. AI response verification at programme close.
Phase 3 — Capability Building — Per team. Scoped per engagement. Team-specific workshops. Each responsible team trained to recognise and prevent AI representation risks in their own work going forward.
Phase 4 — Quarterly Monitoring — From EUR 3,500 per quarter. Baseline DRS re-run each quarter. New distortion alerts within 48 hours. Annual AI accuracy trajectory report.
Book a 30-minute strategy discussion
Protecting brand revenue in the AI search era. Defending revenue architecture against AI mediation risk.
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