Structured Data
Standardized formats for organizing information that machines can easily parse, process, and understand without ambiguity.
Why Structured Data matters
Structured data makes your content machine-readable, increasing the likelihood AI models extract and cite your information correctly.
Structured Data in context
As AI-powered discovery replaces traditional search, understanding Structured Data is a core competency for modern brands. It sits in the Knowledge Graph family of concepts and directly influences how language models like ChatGPT, Gemini, Claude, and Perplexity surface, cite, and recommend brands.
Related Terms
Knowledge Graph
A structured database of entities and relationships that machines can understand, representing real-world concepts and their connections.
Entity
A distinct, identifiable thing, person, place, or concept that can be represented in knowledge graphs and understood by AI systems.
Entity Relationships
The connections between entities in a knowledge graph, defining how concepts, brands, and topics relate to each other.