This is what AI is evaluating.
The five CEI pillars
CEI evaluates your catalog across five dimensions of AI readiness. Each pillar targets a different way AI systems can fail to find, understand, or recommend your products.
Foundation
Is the data architecture clean enough for AI to read? Attribute completeness, terminology consistency, structural integrity.
Differentiation
Can AI tell products apart — or do they collapse into generic clusters? Product-level uniqueness and description distinctiveness.
Retrieval
Can AI find the right products for real shopping queries? Constraint-based, comparison, and long-tail retrieval simulation.
Integrity
Does retrieval preserve what your catalog actually says? Hallucination detection, truth drift, claim verification per SKU.
Authority
Does the broader internet provide trust signals AI systems can cite? Third-party reviews, brand entity clarity, policy transparency