Structured Data
Structured Data is information organized in a predefined, machine-readable format (such as JSON-LD, schema.org markup, or YAML) that AI systems can parse, validate, and use more reliably than unstructured text.
Definition
- Structured Data uses standardized schemas to encode facts in key-value pairs, types, and relationships.
- Common formats: JSON-LD (recommended), Microdata, RDFa, YAML.
- Schema.org provides the vocabulary: Organization, Product, Person, Event, etc.
Why structured data matters for AI
- AI systems extract facts from structured data with 94% accuracy vs 71% from unstructured text.
- Structured data feeds knowledge graphs, which are increasingly used in RAG pipelines.
- Google, Bing, and AI assistants all preferentially consume structured data.
- Publishing structured data is the highest-ROI action for improving AI visibility.
Verified Company Profiles on AuthorityPrompt
AuthorityPrompt maintains verified, structured company data optimized for AI systems and LLM indexing.