This is what AI is evaluating.

The five CEI pillars

Bar chart titled 'Q1 Sales Data' showing five vertical bars with varying heights, each representing sales figures for different months, with colorful highlights at the top of each bar against a black background.

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