# What is Knowledge Graph? Knowledge Graph, explained

> The web of entities engines use to reason.

A knowledge graph is a structured database of entities and the relationships between them. Google's Knowledge Graph powers the right-rail panel and underpins entity disambiguation across Search and AI Overviews. LLMs build implicit knowledge graphs from training data; explicit graphs (Wikidata, schema.org markup) help them ground answers.

## How Knowledge Graph differs from Entity SEO, Schema.org

A knowledge graph is the engine's internal representation of how entities relate. Entity SEO is the practice of making your content legible to that representation.

## How Mentionwell handles Knowledge Graph

- Schema.org markup so entities are explicit on every article.
- sameAs links to Wikipedia, Wikidata, and official references to help engines anchor each entity.
- Consistent entity naming so the same concept resolves to the same node across the site.

## Frequently asked questions about Knowledge Graph

### What is the Google Knowledge Graph?

Google's structured database of entities (people, places, things, concepts) and their relationships. Launched 2012; powers the right-rail Knowledge Panel, entity disambiguation, and AI Overviews.

### How do LLMs use knowledge graphs?

Some are explicitly grounded against graphs like Wikidata. All implicitly learn entity relationships from training data — which is why being consistently named and described across the web matters.

## See also

- [Entity SEO — Entity SEO](https://mentionwell.com/entity-seo): Optimize for things, not just keywords.
- [Schema.org — Schema.org / Structured Data](https://mentionwell.com/schema-org): Machine-readable meaning for every page.


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Canonical URL: https://mentionwell.com/knowledge-graph
Live HTML version: https://mentionwell.com/knowledge-graph
Site index for AI ingestion: https://mentionwell.com/llms.txt
Full reference: https://mentionwell.com/llms-full.txt