Technical Implementation

Schema Markup

The vocabulary and syntax for implementing structured data.

Definition

Schema Markup is the specific vocabulary and syntax used to implement structured data, providing a standardized way to label and describe content elements for search engines and AI systems.

Why It Matters

Schema markup is the language that transforms your content into machine-readable information. It enables rich results in search engines, helps AI systems understand your business context, and provides the foundation for enhanced visibility across all digital platforms.

How We Apply It

We implement strategic schema markup for business information, services, articles, reviews, and FAQs using JSON-LD format. This includes advanced implementations like DefinedTermSet for glossaries, Service schemas for offerings, and interconnected entity markup that builds comprehensive knowledge graphs.

Related Terms

Structured Data

Standardized markup that helps AI understand your content.

Entity Linking

Connecting content entities to broader knowledge networks.

Named Entity Recognition (NER)

AI identification of people, places, and organizations in text.

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