Google Knowledge Graph
Google’s database of entities and relationships that helps interpret queries and results beyond keywords, powering panels and semantic understanding.
The Google Knowledge Graph is a large-scale database of entities and the relationships between them. It helps interpret ambiguous queries, surface rich panels, and inform ranking features that depend on understanding who or what a page is about. For SEO, aligning your content with recognized entities—and supplying structured signals for new or niche entities—improves disambiguation and discoverability. The Knowledge Graph matters for brand presence (Knowledge Panels), integration pages, and topical authority because it influences how queries are clustered and which sources look most credible. It shapes content modeling, about pages, and how you cite people, products, dates, and places throughout your site.
Key Takeaways:
- •Support entity recognition with schema and consistent naming
- •Reinforce brand and people pages
Context:
A founder profile lacks visibility for brand searches.
Action:
The site adds a robust bio, Organization/Person schema, corroborating references, and consistent NAP details.
Result:
Google resolves the entity with higher confidence, improving panel presence and brand query coverage.
Related Terms
Entities
People, places, organizations, and concepts that search systems recognize and link together in knowledge graphs to interpret content intent.
Knowledge panel
Knowledge panel shapes how answers and enhancements appear in results, affecting attention, click-through, and brand perception.
Schema (structured data)
Machine‑readable annotations that describe page content (e.g., FAQ, HowTo, Product), improving understanding and eligibility for rich results.
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