Knowledge graph
Also called: entity graph, Google Knowledge Graph
A knowledge graph is a structured database of real-world entities (people, places, organizations, things) and the relationships between them, stored as nodes connected by edges. Google's Knowledge Graph is the best-known example, powering entity understanding, disambiguation, and knowledge panels in Search.
Google launched its Knowledge Graph in May 2012 under the tagline “things, not strings,” a shift from matching keyword strings to understanding real-world things and how they connect. At launch it held more than 500 million objects and over 3.5 billion facts, seeded from public sources like Wikipedia, Freebase, and the CIA World Factbook, then expanded well beyond them.
Each entity is a node, and each relationship is an edge. “Albert Einstein” links to “physicist,” to “Ulm” (birthplace), and to “theory of relativity.” Google uses this structure to do three things in Search: disambiguate similar names (Taj Mahal the monument versus the musician), summarize key facts in a knowledge panel, and surface related things you have not asked about yet.
Why it matters for your pages
The practical question is whether Google can map your pages to the right entity. You signal that with consistent naming, on-page context, and schema.org structured data. The Knowledge Graph Search API returns entity matches as schema.org types in JSON-LD, the same vocabulary you use to mark up your own pages, so aligning them is direct work.
{ "@type": "Organization", "name": "SEOBRO", "sameAs": "https://www.wikidata.org/..." }A sameAs link pointing to an authoritative profile (Wikidata, official social accounts) helps Google tie your page to a known entity. As Search Engine Journal puts it, matching your “schema markup and on-page optimization to connect with your target entities is an important first step.”
How it affects your traffic
If Google cannot map your pages to a clear entity, you lose knowledge panels, rich results, and increasingly the AI answers that pull from entity data. On-page work (precise titles, entity-focused headings, schema markup, and sameAs links to authoritative profiles) is what feeds those signals. Our On-Page SEO service structures each page so Google reads it as a recognizable entity instead of loose keywords, which is what earns entity-driven placements and steadier organic traffic.
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