KNOWLEDGE GRAPH & ENTITIES · SEO GLOSSARY
Knowledge Graph SEO
Strategies for influencing what information Google\'s Knowledge Graph displays about a brand, person, or organisation — including Knowledge Panel content, entity association with topics, and AI system citations.
Definition
Google\'s Knowledge Graph is a database of real-world entities (people, organisations, places, products, concepts, events) and the relationships between them. When Google has high-confidence entity knowledge, it displays this information in Knowledge Panels (the information boxes in search results), entity carousels, and as a basis for AI-generated answers. Knowledge Graph SEO refers to strategies for: (1) Getting an entity into the Knowledge Graph — typically by earning a Wikipedia article, getting listed in authoritative directories (Wikidata, industry databases), and having consistent structured data across your web presence. (2) Influencing the entity\'s description, attributes, and associations in the Knowledge Graph — the information displayed in the Knowledge Panel is sourced from Wikipedia, official websites (identified by Wikidata\'s official website property), and other authoritative sources. (3) Associating an entity with specific topics and expertise areas — co-occurrence of an entity with topic entities in high-authority content causes the Knowledge Graph to associate the entity with those topics, which affects topical authority. (4) sameAs markup linking your structured data to Knowledge Graph entity identifiers enables Google to connect your content to the correct entity in the graph.
Why it matters for SEO
Knowledge Graph entries affect search visibility in ways beyond traditional ranking: Knowledge Panel appearance for branded queries, entity-based rich features (People Also Search For, related entities), voice search answers (which often pull directly from the Knowledge Graph), and AI search citations (ChatGPT, Perplexity, and Google Gemini draw on Knowledge Graph data for factual entity answers). For brands that want to control how they appear in AI-generated search answers, Knowledge Graph presence is foundational — AI systems use the Knowledge Graph as a trusted source for factual entity information.
How DeepSEOAnalysis checks this
DeepSEOAnalysis checks the structured data signals that influence Knowledge Graph entry: sameAs property on Organisation/Person schema (required for entity disambiguation), consistent entity name across title tags, structured data, and on-page H1/mentions, WebSite schema with SearchAction (signals official website for Knowledge Graph sourcing), and whether breadcrumbList and WebPage schema correctly attribute page authorship and entity context. The audit does not directly query the Knowledge Graph API — entity status in the Knowledge Graph is verified via site:search queries and the Knowledge Panel trigger in branded searches.
GLOSSARY
Related terms
knowledge graph & entities
Entity Disambiguation
The process by which Google distinguishes between multiple real-world entities that share the same name — using context signals to determine which specific entity a query refers to and which entity a piece of content is about.
Read definition →structured data
Structured Data
Machine-readable annotations added to HTML — usually JSON-LD — that explicitly describe what a page is about to search engines and AI systems.
Read definition →structured data
Rich Results
Enhanced search result formats that Google displays beyond the standard blue link, title, and description — including star ratings, FAQ dropdowns, product panels, recipe cards, How To steps, event dates, and job listings — enabled by valid structured data (JSON-LD schema) in the page\'s server-rendered HTML.
Read definition →See how your site scores on Knowledge Graph SEO.
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