Gated whitepaper
The Product JSON-LD Cheat Sheet
For technical SEO, ecommerce, and catalog-data teams responsible for product structured data at scale.
Summary
Product JSON-LD is the machine-readable layer that helps Google, AI search engines, shopping agents, and merchant systems verify what a product is, who makes it, what it costs, whether it is available, and which identifiers prove it is the same item across the web. But many catalogs ship structured data that is syntactically valid and strategically useless: missing GTINs, contradictory prices, stale availability, duplicated variants, or attributes copied from untrusted descriptions. This cheat sheet translates Schema.org Product markup into a practical catalog-data checklist for teams managing thousands or millions of SKUs. It explains which fields need authoritative sources, where JSON-LD should mirror Merchant Center and PDP content, and how to avoid markup that creates AI hallucination risk instead of visibility. The gated PDF contains the compact field table and validation workflow.
What's inside
- The Product, Offer, AggregateOffer, Brand, GTIN, MPN, SKU, image, and availability fields that matter most for AI and Google parsing.
- The three silent schema disqualifiers that make markup look valid while remaining untrustworthy.
- Examples of variant, bundle, and multi-seller patterns without exposing the full templates on the page.
- A validation sequence across Rich Results, Merchant Center feeds, and catalog source-of-truth fields.
- A field ownership map for PIM, ERP, ecommerce platform, and enrichment layers.