AI is evaluating your product catalog right now.
The Commerce Eligibility Index™ (CEI) is a 0–100 score measuring whether AI shopping agents can find, understand, trust, and recommend your products. It turns the findings into evidence, fix queues, and governance your teams can act on. Get recommended by more AI assistants, more often, and you grow revenue where buying is moving fastest.
The front door to commerce is now an AI agent.
Product catalogs were built for human browsing, not machine reasoning. When an assistant has to choose what to recommend, ambiguous data gets the product ignored, misrepresented, or left off the shelf entirely.
Get recommended. Win the traffic. Protect the revenue you can't see.
CEI is analytical on purpose. The payoff is plain: when AI can find, trust, and recommend your catalog, you reach the fastest-growing, highest-intent channel in commerce, grow sales there ahead of competitors, and stop losing the ones you never see.
When ChatGPT, Claude, Gemini, and Perplexity can confirm your products fit, you make the shortlist instead of your competitor.
AI-referred shoppers convert 31% better and spend more per visit (Adobe Analytics, 2026). CEI helps you capture them before the click.
Most AI losses are invisible: the shopper never lands on your site. CEI surfaces the pre-click leakage and the fixes to recover it.
Five pillars AI systems need before they can recommend.
CEI separates readiness into the structural conditions that decide whether your catalog is legible to machines, scored across 16 evidence-backed signals.
Foundation
Is the catalog data clean and complete enough for AI to read?
Differentiation
Can AI tell your products apart, or do they blur together?
Retrieval
Can AI find the right product for a realistic shopping query?
Integrity
Are the claims in your catalog internally consistent and verifiable?
Authority
Does the broader internet give AI reasons to trust and cite your brand?
Diagnose. Activate. Protect.
Start with an evidence-backed baseline, turn findings into fix artifacts your teams can apply, then gate new catalog updates so quality never drifts backward.
- Commerce Eligibility Index score
- Five-pillar, 16-signal breakdown
- Competitive benchmark
- Executive report + technical evidence
- Structured data and JSON-LD
- Attribute gap files
- Terminology standardization map
- Description and alt-text queues
- Brand quality profile
- Pre-publish validation gate
- Pass, warn, or fail status
- Publish decision guidance
Built for the people accountable for AI-era discoverability.
CDOs, CMOs, and heads of ecommerce who own the number, and the merchandising, product-data and PIM, and agency teams who act on the findings. Today that is mostly retailers and consumer brands; the same readiness gap is opening across more categories as AI-mediated discovery expands.
This is not an SEO audit. It is an AI readiness diagnostic.
Every score points to something your team can inspect: product-level evidence, signal breakdowns, and a prioritized fix queue mapped to owners. Measure, do not guess.
Readiness band, drivers, risk themes, and the next decision for leadership.
Evidence-backed product findings that explain exactly why the score moved.
Attribute, copy, evidence, and governance work mapped to likely owners.
See exactly what AI systems understand about your catalog.
A baseline CEI assessment turns catalog readiness into an executive scorecard, product-level evidence, and prioritized fix queues.
Request a CEI assessment