CatalogSignalResearch to help your products earn the AI recommendation.
Longer-form research that turns catalog evidence into stronger recommendations, higher-intent visits, and growth. Practical field notes live on the Blog.
The white papers
White Paper
The AI Shelf
How agentic shopping is rewriting product discovery, and what commerce leaders must do now.
For CMOs, CDOs & Heads of eCommerce · June 2026
Read the white paper →White Paper
Recommendation Eligibility
A commerce leader’s guide to being found, understood, trusted, and recommended by AI.
For CDOs & Heads of eCommerce · June 2026
Read the white paper →Point of View
The Customer You Cannot See
Why the product decision is moving before the measurement does—and how retailers can win the machine customer.
For retail & commerce leaders · August 2026
Read the point of view →The questions behind the Commerce Eligibility Index™.
Our research focuses on the catalog data layer that decides whether AI shopping agents can find, understand, trust, and recommend products. These are the themes we publish on.
How AI shopping systems assemble a product picture, and why some catalogs get surfaced for realistic shopping queries while others stay invisible.
Why machine-checkable, internally consistent product claims matter for recommendation, and how to make catalog quality inspectable rather than asserted.
How commerce teams keep catalog quality from drifting backward as products, feeds, and descriptions change over time.
Turn research into recommendation advantage.
Tell us about your catalog and growth goals. We will share the most relevant research and show where your products can move closer to the AI shortlist.
Get a preliminary catalog check