Agentic Commerce Readiness — Defend Your Maison in the Age of AI Shopping Agents
When a consumer asks ChatGPT or Perplexity “where should I buy an iconic Lady Dior bag”, the agent decides what to recommend, which competitor to co-mention, which checkout path to surface, and how to describe the product. That’s agentic commerce — and it’s invisible in traditional SEO / GEO dashboards. The ACR Score isolates this buy-intent layer with four equally-weighted sovereignty dimensions, scanned monthly across the two agents luxury consumers actually use for purchase decisions.
Monthly
Scan cadence — 1st of each month at 00:30 UTC
What you get with Agentic Commerce
Four sovereignty dimensions
Shopping Presence (are you recommended?), Substitution Resistance (do agents propose rivals?), Merchant Sovereignty (official site vs retailer vs gray market?), Description Integrity (factual + tonal + attribute completeness). Each weighted 25%, blended into one 0–100 composite.
Luxury-native score zones
Vulnerable (0–39) · At Risk (40–59) · Defended (60–79) · Sovereign (80–100). A vocabulary built for the Comex of a Maison, not a tech startup — your board understands what “Sovereign” means without a glossary.
Strategic insights, deterministic
Five rule-based detectors fire on every scan: high substitution threat (lists your top 3 AI-proposed rivals), weak shopping presence (names the categories where you’re absent), low description integrity (surfaces the weakest flagship), weak merchant sovereignty (flags gray-market share), strength moat (your defensible dimension). No waiting for Claude.
Monthly cadence, on purpose
Agentic recommendations move more slowly than search rankings. One deep scan a month (~30 calls to ChatGPT + Perplexity across your categories and flagships) captures meaningful drift without the noise of weekly jitter. Manual trigger available for bootstrap or post-correction re-scans.
How it works
Each scan generates category-level discovery prompts (“recommend the best Maisons for leather goods”) and flagship-level integrity prompts (“describe the Lady Dior handbag”), sends them to Perplexity Sonar and GPT-4o, then analyses responses: position in the recommendation list, co-mentioned competitors (tier-weighted), cited checkout domains (official vs retailer vs marketplace vs gray), factual accuracy against your Brand Truth Profile, and tonal + completeness judged by Claude Haiku. Results land in a semicircle gauge, four dimension cards, and a Strategic Insights feed — ready for your next Comex.