PromptScoutWhat is Structured Data?
Structured Data is a standardized way of describing content using explicit fields so machines can interpret meaning reliably. Structured Data is often used to describe entities, relationships, and page intent.
Quick definition
Structured Data is machine-readable information that explains what a page contains.
How Structured Data works
- Structured Data uses predefined vocabularies and formats to label data.
- Structured Data helps systems extract facts such as names, dates, and relationships.
- Structured Data can support SERP features by enabling richer result displays.
- Structured Data can support AI systems by reducing ambiguity in entity interpretation.
Why Structured Data matters
Structured Data matters because Structured Data improves extraction quality.
Structured Data is also relevant to AEO and GEO because answer engines rely on clear, attributable facts.
Example use cases
- Adding structured data to define a term and its plain-language definition.
- Marking up an organization page so entity attributes are explicit.
- Using structured data to support knowledge graph association.