CatalogSignalMeasure exactly what moves your products toward the recommendation.
The Commerce Eligibility Index (CEI) turns 16 signals across five pillars into a clear 0 to 100 view of your catalog's AI discoverability. See what is already creating an advantage, where the strongest growth opportunities sit, and which improvements can move more products onto the AI shortlist.
A shared language for stronger recommendations.
Five practical questions help product, ecommerce, merchandising, and technical teams see the same catalog clearly and work from one plan.
Foundation
Is the catalog data clean and complete enough for AI to read?
Differentiation
Can products be told apart, or do they collapse into generic clusters?
Retrieval
Can AI find the right products for a realistic shopping need and all of its constraints?
Integrity
Do generated claims reconcile with catalog evidence, and is supporting review evidence informative?
Authority
What do independent reviews, AI providers, and video sources say about your visibility and authority?
16 signals that turn AI discoverability into action.
Attribute completeness, terminology consistency, visual quality, and video discoverability.
Differentiation strength, tradeoff density, and cluster separability.
Retrieval quality and constraint satisfaction.
Hallucination rate, evidence coverage, and owned-review sentiment.
Independent-review sentiment, brand-mention density, AI discoverability, and video authority.
Every score has receipts.
CatalogSignal combines web-crawl and product-feed evidence, authorized inputs, local retrieval tests, reviews, authority sources, video evidence, and AI-provider responses into one traceable measurement.
Provider evidence can include OpenAI, Anthropic, Google Gemini, and Perplexity. Every run preserves the provider, model, query set, product-level evidence, and failures behind the score, so teams can move from the number to the fix.
A score your team can trust and act on.
Each measurable signal produces a value on a common scale. Measured signals roll up into pillars, and the available pillars combine into the 0 to 100 CEI. Geometric aggregation keeps a genuine weak area from being fully hidden by an unrelated strength.
Every result keeps observed performance separate from gaps in available evidence. Coverage, confidence, access mode, and methodology era travel with the score, giving teams a clear basis for action.
High readiness across the measured signal set.
Usable foundation with meaningful improvement opportunities.
Material gaps across the measured signal set.
Serious measured gaps.
Useful crawl diagnostics and a clear path toward full CEI scoring.
A clear evidence-needed state that tells the team what must be supplied next.
The same instrument, before and after.
Rescoring runs Diagnose again across the same pillars and the same signals, so improvement is measured by the instrument that set the baseline.
Each cycle adds to a longitudinal view of readiness: where the catalog started, what changed, and how far it moved. Because coverage, confidence, access mode, and methodology era travel with every score, the comparison stays honest as the catalog and the methodology evolve.
See more of the catalog with authorized evidence.
Comparable CEI shows the public view of the catalog. Authorized CEI adds approved private inputs to give teams a richer, more complete picture and a sharper improvement plan.
See where your catalog can pull ahead.
The CEI Benchmark spans 100 brands across 10 retail verticals on a governed common basis, helping teams see category patterns and identify the improvements that can create separation.
Every benchmark release reports its measured set, query volume, providers, and methodology era alongside the results.
Make SEO, AEO, GEO, PIM, and feed work stronger at the product-data layer.
SEO gets a page found. CEI shows whether AI can understand, compare, trust, and support recommendations from the products on that page, then gives teams the plan to improve them.
Turn measurement into recommendation advantage.
Use one evidence-backed view to choose the next best fixes, prove the change, and keep more products ready to be recommended.
Get a preliminary catalog check