The machine-readable layer that lets search systems understand your pages with precision.
Structured data is formal, machine-readable markup that communicates the semantic meaning of your content to search systems. Implemented as JSON-LD following Schema.org vocabulary, it describes what a page is — a product, recipe, article, local business, FAQ — with properties search systems parse directly without inference. We assess schema coverage, property completeness, and entity graph connectivity as a unified score.
A product page declaring its name, brand, SKU, price, availability, and aggregate rating as structured data is understood with far greater precision than one communicating through prose alone. That precision translates into rich result eligibility, entity association accuracy, and ranking stability.
We audit every page template for schema coverage — which types are present and absent given the content. For each type, we evaluate property completeness against the full Schema.org spec. We then trace the entity graph: does your Product reference your Organization? Does your Article reference author entities?
Schema that exists but is incomplete — Product missing aggregateRating, LocalBusiness with no geo coordinates. Schema that is valid but semantically disconnected: product pages referencing unrecognized brand entities. JSON-LD injected after page load, creating render timing gaps.
We produce a schema blueprint for every page template: exact JSON-LD objects, every property value, and entity references required. We validate against the official Schema.org validator and rich results testing tools before deployment. Post-deployment, we monitor schema health to catch regressions.
US Patent 9,619,580 describes how structured data associates documents with named entities and how association completeness — not just presence — determines ranking signal strength. This is why we weight property completeness as heavily as schema coverage.
Yes, in practice. Search systems have stronger support for JSON-LD in their rich results tooling. JSON-LD is also decoupled from HTML structure, so template changes don't break your schema.
Minimum: Organization, WebSite, WebPage, BreadcrumbList, and FAQPage. E-commerce adds Product, Offer, AggregateRating. Content sites add Article and Person. We scope it to your specific architecture.
Yes. Schema making unverifiable claims — inflated ratings, incorrect pricing — triggers spam quality signals that suppress rich results and ranking position. Accuracy is as important as completeness.
Patnick automates structured data with patent-backed scoring and dedicated analyst support.
