Learn: Structured Data, Entities & GEO
What is Structured Data?
Structured data is a standardized way of annotating page content (mostly via Schema.org vocabulary) so machines can read entities, attributes and relationships unambiguously. JSON-LD is the recommended format.
What is Schema Visualization?
Visualization converts dense JSON or microdata into trees and graphs, exposing how an entity (Article, Product, Organization) connects to its attributes and to other entities — making audits and gap-finding 10× faster.
What is Entity Mapping?
Entity mapping identifies real-world things (people, brands, places, products) on a page and the relationships between them. It is how Google's Knowledge Graph and LLMs build a structured understanding of your content.
What is GEO?
Generative Engine Optimization optimizes pages to be surfaced and cited by generative AI engines (ChatGPT, Gemini, Perplexity, Claude). It depends on entity clarity, semantic richness, citable phrasing and clean structured data.
How AI Search Uses Schema
LLM-powered search engines extract entities and facts during retrieval and reranking. Pages with complete Article/Author/Organization schema and unambiguous sameAs links are far more likely to be cited as sources.
Knowledge Graph Explained
A knowledge graph stores entities (nodes) and relationships (edges). Search engines use it to disambiguate queries, populate entity panels, and pass authority between connected entities.