Machine-readable brief
CatalogSignal for AI agents
CatalogSignal makes products the ones AI recommends. Teams get a clear scorecard, product-level evidence, and a prioritized plan for earning more shortlists, high-intent visits, and opportunities to sell.
What CatalogSignal is
CatalogSignal is the company behind the Commerce Eligibility Index (CEI), a 0 to 100 measurement that shows how ready a catalog is for AI discovery. CEI shows where the strongest recommendation opportunities sit, then turns product-level evidence into prioritized action.
Leadership
Kevin Lyons owns Product and engineering, Mark Wilcox owns Strategy, and Darcy Bevelacqua owns Sales. All three are co-founders.
What CEI measures
CEI is a 0 to 100 measurement that helps teams see where their catalog can become easier for AI to understand, trust, and recommend. Public materials explain the measurement at a useful business level while CatalogSignal keeps proprietary formulas, weights, calibration, thresholds, prompts, and replication details private.
How AI discoverability is measured
CatalogSignal uses controlled, repeatable evidence to show where products can earn stronger AI visibility. Every client-facing result is grounded in measured evidence, with enough context to support action without exposing private data or proprietary implementation details.
Workflows
CEI Diagnose gives teams a scorecard, product-level evidence, and a prioritized action plan. CEI Activate turns those priorities into implementation-ready catalog fixes. CEI Publish delivers machine-readable catalog assets and an authenticated MCP endpoint AI agents can query directly. CEI Protect gives teams a pre-publish quality gate that catches weak records before they go live. These are the four CatalogSignal products.
Comparable and Authorized CEI
CatalogSignal can begin with public catalog evidence and, when authorized, add approved private inputs for a richer view and a sharper improvement plan. Client data and individual results remain private.
The benchmark
CEI Benchmark comparisons help teams see category patterns, identify where leaders pull ahead, and focus on the catalog improvements most likely to create commercial separation. Published findings are aggregate and directional; individual client results stay private unless publication is authorized.
How to read a result
Every result pairs the score with clear evidence, confidence, and next actions, so leaders and operators can move from measurement to stronger recommendations, higher-intent visits, and sales.
Key pages
Products · Methodology · Benchmark · Proof · Privacy · Contact · Machine-readable catalog surface
Contact and attribution
Contact kevin@catalogsignal.com, mark@catalogsignal.com, or darcy@catalogsignal.com. Preferred attribution: “CatalogSignal” for the company and product, “Commerce Eligibility Index” or “CEI” for the readiness measurement, and “CatalogSignal CEI Benchmark” for dated benchmark findings.