CatalogSignalMake your products the ones AI recommends.
Your PIM stays the system of record. CatalogSignal is the independent evidence layer between your catalog and the machine customer.
The AI shelf creates a new chance to win earlier.
Your catalog already holds the product truth AI needs. CatalogSignal helps your team make that truth clear, comparable, and trustworthy, so the right products earn the recommendation and the high-intent visit it creates.
Build a catalog AI can understand, trust, and recommend.
CEI turns AI discoverability into a clear score, product-level evidence, and a prioritized growth plan your teams can execute together.
Show AI exactly where each product fits, so stronger candidates surface for realistic shopping needs.
Give catalog, merchandising, content, and technical owners a sequenced plan tied to measurable readiness gains.
Protect every launch with clear, consistent product records that preserve AI readiness as the catalog grows.
The sale can be won before the click.
When AI can confirm that a product fits a shopper's request, it can put that product on the shortlist before the shopper ever reaches the site. CatalogSignal helps turn more of those high-intent decisions into visits and sales.
Traffic from AI sources to U.S. retail sites grew 393% year over year in the first quarter of 2026.
In March 2026, AI-referred retail visits converted 42% better than non-AI traffic.
Connect affected products and shopping needs to your commercial inputs, so teams can prioritize the catalog improvements with the greatest revenue potential.
Adobe Digital Insights, April 2026. CatalogSignal connects your products and shopping needs to commercial inputs, turning AI discovery evidence into a prioritized revenue opportunity.
Five pillars show exactly where your catalog can become stronger.
CEI scores 16 signals across five pillars, giving every team a shared view of what is working and where the next improvement will have the greatest impact.
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 products for a realistic shopping need and all of its constraints?
Integrity
Are the claims in your catalog internally consistent and verifiable?
Authority
What do independent reviews, AI providers, and video sources say about your visibility and authority?
Diagnose. Activate. Publish. Rescore. Protect.
Diagnose gives you the baseline. Activate gives you the fixes. Publish turns approved catalog truth into machine-readable assets and an authenticated MCP endpoint AI agents can query. Rescore is Diagnose run again, so the proof comes from the same instrument that set the baseline, and every cycle builds a longitudinal view of improvement. Protect keeps it that way as the catalog changes.
- Commerce Eligibility Index score
- Five-pillar, 16-signal breakdown
- AI-provider and local retrieval results
- Competitive benchmark
- Executive report + technical evidence
- Re-run to rescore and prove movement
- Structured data and JSON-LD
- Attribute gap files
- Terminology standardization map
- Description and alt-text queues
- Structured catalog surface for AI
- Machine-readable HTML, JSONL, CSV, and indexes
- Per-product evidence
- Authenticated MCP access for AI agents
- 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.
Turn catalog evidence into an advantage your team can compound.
Every score gives leaders and operators a shared view of where growth is available, what will unlock it, and how to keep moving forward.
See readiness, commercial opportunity, and the next decision in one executive view.
Give every recommendation product-level evidence that makes action faster and progress measurable.
Align catalog, content, data, and governance owners around the fixes most likely to improve recommendation eligibility.
Win more AI shopping moments and more of the sales they influence.
Start with an evidence-backed CEI scorecard and a prioritized path to stronger recommendations, higher-intent visits, and measurable commercial growth.
Request a CEI assessment