Skip to main content

Technical SEO

Quick Definition

Structured data code added to web pages that helps search engines and AI models understand your content.

In-Depth Definition

Schema markup is a standardized vocabulary of tags (using JSON-LD, Microdata, or RDFa format) that you add to your HTML to help search engines and AI systems understand the meaning and context of your content. It creates a structured data layer that explicitly defines what your page is about — whether it describes a product, service, FAQ, article, organization, or other entity type.

For AI search optimization, schema markup is particularly valuable because it provides AI crawlers with machine-readable data that is easier to extract and cite than unstructured text. Implementing comprehensive schema — including Organization, Service, FAQ, HowTo, Article, and Product schemas — significantly increases your content's AI extractability.

Best practices include implementing JSON-LD format (preferred by Google), nesting schemas for richer context, keeping markup consistent with visible page content, and validating with Google's Rich Results Test.

Master AI Search Optimization

Transform your understanding of SEO, GEO, and AEO. MarketingBuckle helps brands dominate AI citations and organic search results.