Diagnose. Activate. Protect. Publish.
Four steps that move from an evidence-backed baseline, to fix artifacts your teams can apply, to a pre-publish quality gate that keeps catalog quality from drifting backward, to a clean structured surface AI systems can read directly. The result: AI recommends your products more often, and you grow revenue in the channel taking over discovery.
- Commerce Eligibility Index™ score
- Five-pillar, 16-signal breakdown
- 1,000+ shopping queries across ChatGPT, Claude, Gemini, and Perplexity
- Competitive benchmark
- Executive report and technical evidence
- 30-day remediation roadmap
- Structured data and JSON-LD
- Attribute gap files for PIM
- Terminology standardization map
- Description and alt-text queues
- Applied across CMS, imagery, copy
- Brand quality profile
- Pre-publish validation gate
- Pass, warn, fail, or incomplete
- Publish decision guidance
- Per product page, on launches and refreshes
- Structured catalog surface for AI
- JSON-LD and product feed
- Per-product evidence
- Query annotations
- Published to the open web
Most teams start with Diagnose.
Move from baseline measurement to fix artifacts, then into a quality gate and scheduled remeasurement, then publish a clean structured surface AI systems can read directly.
Establish the current readiness gap with an evidence-backed CEI baseline. Every CEI Diagnose assessment runs 1,000+ realistic shopping questions, based on your catalog, across ChatGPT, Claude, Gemini, and Perplexity. The results show when your products are found, understood, and recommended—and where they are missed or misrepresented.
Close the highest-impact gaps with fix artifacts your existing teams can apply across product data, content, imagery, and the systems they already use. Each change is prioritized by readiness impact, so teams know what to fix first, why it matters, and what progress should look like. The result is a practical fix queue teams can move through without reopening the diagnosis.
Keep new and updated products from reopening the same gaps. CEI Protect checks changes before they go live, while scheduled monthly or quarterly remeasurement shows whether readiness is improving and where attention is still needed. That gives teams a clear record of progress across launches, refreshes, and routine catalog updates.
Expose your verified catalog as a clean, structured surface AI assistants can read directly. CEI Publish makes product facts and supporting evidence easier for AI systems to find and understand, without forcing your team to replace its existing systems. As products change, the published surface can stay current. That gives AI systems a more reliable source for product discovery and recommendation.
See where you stand against your category.
Your CEI score never arrives in a vacuum. Every assessment is read against the CEI Benchmark, our monthly study of AI catalog readiness, so you see exactly where your catalog sits versus the field you compete in, and where the fastest gains are.
A live, longitudinal baseline across ten consumer-retail verticals means your number is a market position, not a one-off guess, and you can watch it move as you close gaps and as AI shopping evolves.
Start with a baseline you can act on.
CEI Diagnose turns catalog readiness into an executive scorecard, product-level evidence, and prioritized fix queues.
Request a CEI assessment