What is Knowledge Graph?
A structured database of entities and their relationships that search engines and AI systems use to resolve who's who and what's what.
Definition
A knowledge graph is a structured map of entities — people, companies, products, concepts — and the relationships between them. Google's Knowledge Graph powers knowledge panels and entity understanding; Wikidata is the open equivalent feeding countless AI systems' understanding of the world.
When an assistant correctly says “Seeqly is an AI search visibility platform,” it's drawing on graph-style entity knowledge, learned or retrieved.
Why it matters
Graph presence is machine-verifiable identity. Brands with clean entity records get described accurately and slotted into the right comparisons; brands without them depend on whatever the model inferred from scattered text. Securing the basics — Wikidata entry, consistent Organization schema with sameAs, aligned descriptions across major profiles — is among the highest-leverage, lowest-cost GEO work available.
Frequently asked
How do I get into Google's Knowledge Graph?
Build consistent, corroborated entity signals: Organization schema, Wikidata/Wikipedia presence where merited, consistent NAP-style data across authoritative profiles, and press coverage using your canonical description.
Do LLMs use knowledge graphs directly?
Some systems retrieve from them; all models absorb graph-derived text (like Wikipedia) in training. Either way, graph consistency propagates into how models describe you.
Related terms
- Knowledge CutoffThe date after which a model's training data ends. Anything you launched after it doesn't exist in the model's memory — only retrieval can surface it.
- AI CitationsThe linked sources an AI assistant credits when generating an answer. Being cited is the AI-era equivalent of ranking #1.
- AI CrawlerBots operated by AI companies — GPTBot, ClaudeBot, PerplexityBot, Google-Extended — that fetch web content for model training or live answer retrieval.
- AI OverviewsGoogle's AI-generated summaries shown above traditional results, now appearing on roughly half of searches and dramatically reducing clicks to websites.