Understand

Product Data Legibility

Having schema isn't enough. Can an agent actually compare your products?

AI assistants don't read product descriptions — they parse structured attributes and shortlist on constraints like size, material, price, and certifications. A store can pass every Schema.org check and still be invisible to a query like 'full-spectrum grow light, ≥600 PPFD, 2×2 ft, dimmable, under $80.' Product Data Legibility scores how rich, granular, and consistent your structured attributes really are — the difference between being present and being chosen.

Attribute completeness: the share of agent-relevant attributes (title, brand, identifiers, price, category, specs) actually present in structured form
Granularity & comparability: rewards typed, filterable values (Shopify options, schema.org additionalProperty) over specs buried in prose
Cross-source consistency: checks that the same product agrees across your JSON-LD and product feed, so agents get one trustworthy view
Static analysis of your homepage JSON-LD and product feed — no agent run, no added scan time
Part of the Understand pillar (20% of your score), alongside Schema.org Quality

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