Entities
People, places, organizations, and concepts that search systems recognize and link together in knowledge graphs to interpret content intent.
Entities are distinct, machine-recognizable things—people, organizations, products, and abstract concepts. Modern search uses entity recognition to resolve ambiguity (“Apple” the brand vs. the fruit), enrich results, and connect related topics. For SEO, consistently naming entities, supplying disambiguating context, and using schema help models place your content in the right graph neighborhood. This matters for eligibility in rich results and AI answers because systems select sources they can confidently attribute. Entity hygiene influences naming conventions, author bios, about pages, product specs, and how you reference third-party concepts that support your claims.
Key Takeaways:
- •Name entities consistently and add context
- •Use schema to formalize relationships
Context:
A SaaS company page references customers and integrations.
Action:
It standardizes brand names, adds Organization/Product schema, and links to authoritative profiles to anchor entities.
Result:
Search systems better understand partners and use-cases, improving visibility for integration and comparison queries.
Related Terms
Google Knowledge Graph
Google’s database of entities and relationships that helps interpret queries and results beyond keywords, powering panels and semantic understanding.
Schema (structured data)
Machine‑readable annotations that describe page content (e.g., FAQ, HowTo, Product), improving understanding and eligibility for rich results.
Topical authority
Depth and coverage on a subject that signal you’re a primary resource, built via clusters, internal links, and consistent expertise.
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
A framework for demonstrating credibility and first‑hand experience so humans and algorithms can trust and prefer your pages.
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