Schema Markup

Schema Markup, often referred to as structured data, is a standardized semantic vocabulary of tags (microdata) that can be embedded into a webpage’s HTML to improve how search engines read, categorize, and present content. Created through a collaboration between Google, Microsoft, Yahoo, and Yandex, the shared Schema.org framework provides a wide set of vocabularies for marking up information so that it’s machine-readable and semantically clear.

By implementing schema markup, site owners can provide search engines with explicit context about their content. This allows search engines to generate enhanced results such as rich snippets, knowledge panels, carousels, and other advanced SERP features. Popular schema types include Article, Product, Review, Event, Organization, Person, Recipe, FAQ, and HowTo.

In the realm of AI-powered search and GEO optimization, schema markup has become increasingly valuable. Structured data enables AI systems to quickly understand relationships, context, and attributes of content, improving the chances of accurate citation and reference in generated answers. It also enhances discoverability in voice search and smart assistant queries, where structured, context-aware responses are critical.

For businesses, comprehensive schema markup not only improves visibility in traditional search results but also ensures that AI systems interpret and represent content correctly, reinforcing authority and topical relevance.