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THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE

CONCEPT
SEARCH OPTIMIZATION

Structured Data

Machine-readable information added to content using a defined vocabulary and format to describe entities, properties, and relationships explicitly.


BUSINESS RELEVANCE

Structured data improves consistency between human-readable pages and machine interpretation, supporting search appearance, entity understanding, validation, and content reuse.


IMPLEMENTATION EXAMPLE

A glossary page uses DefinedTerm and BreadcrumbList JSON-LD whose name, description, URL, and breadcrumb values match the visible page.


LIMITATIONS

Markup does not guarantee rich results or rankings. It must represent visible, truthful content, follow platform policies, and remain synchronized with page changes. Invalid or misleading markup may be ignored.


TECHNICAL EXPLANATION

On the web, structured data commonly uses Schema.org vocabulary expressed as JSON-LD, Microdata, or RDFa. Search engines can use valid markup to understand visible content and, for supported types, determine eligibility for enhanced search features.


Secondary Topics

Data Engineering

Sources

Google Search Central — Introduction to structured data — https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data; Schema.org — Welcome to Schema.org — https://schema.org/