Knowledge Graph

How does Google's Knowledge Graph work?#

Google’s Knowledge Graph stores entities — people, organizations, places, products — with their facts and relationships, compiled automatically from hundreds of web and licensed sources, and Google uses it to interpret queries, tell namesakes apart and fill knowledge panels.

Google launched it in May 2012 with more than 500 million objects and 3.5 billion facts, under the slogan “things, not strings.” By May 2020 it held over 500 billion facts about five billion entities, drawn from “hundreds of sources from across the web,” including licensed data.

1. 1

   Sources describe an entity

   Reference sites such as Wikipedia, official websites, licensed databases and structured data all contribute facts.

   Your lever: State your own facts clearly on your site, with Organization markup.

2. 2

   Google reconciles them into one entity

   Mentions of the same thing across sources are matched to a single entity with its own machine ID, and facts attach to it.

   Your lever: Use the same name, category and facts everywhere, so the sources agree.

3. 3

   The entity powers search features

   Knowledge panels, disambiguation between namesakes, and direct answers to factual queries. Panels are “updated automatically as information changes on the web.”

4. 4

   Google's AI draws on it

   Google says AI Mode can “tap into fresh, real-time sources like the Knowledge Graph” alongside web content.

Knowledge Graph vs knowledge panel: what's the difference?#

The Knowledge Graph is Google’s underlying database of entities and facts; a knowledge panel is the information box Google shows in results when someone searches for an entity in that database — so every panel comes from the graph, but the graph holds far more than panels show.

Google’s knowledge panel help says panel information comes from “various sources across the web,” from partnerships with data providers, and from verified entities who suggest edits. If you’re the subject of a panel or its official representative, you can claim it through Get verified on Google, though Google notes not every panel is claimable yet. Local businesses manage their panel through Google Business Profile.

How do you get your brand into the Knowledge Graph?#

Get your brand into the Knowledge Graph by making its facts easy to verify: state them on your own site with Organization markup, keep every official profile consistent, and earn coverage from independent, reputable sources — Google documents no application, and inclusion is decided automatically.

1. State your facts on your own site. An About page with name, category, founders, founding date and location, plus Organization markup with your logo and sameAs links — which Google says helps it “disambiguate your organization in search results.”
2. Keep official profiles identical. The same name and description on LinkedIn, YouTube, review sites and directories — each one a source that either confirms or contradicts the others. See entity SEO.
3. Earn independent coverage. Trade press, industry publications and reviews describe you in terms Google can check against your own claims. See digital PR.
4. Use reference sites honestly. Wikidata accepts items for entities that “can be described using serious and publicly available references.” Wikipedia requires notability and strongly discourages editing articles about your own company. Neither is a shortcut if the coverage isn’t there.
5. Local business? Verify and complete your Google Business Profile, which manages the local panel.

How do you check if you're in the Knowledge Graph?#

Check with Google’s Knowledge Graph Search API: query your brand name, and if an entity with the right type and description comes back with an ID, you’re in the graph; a knowledge panel for a search of your brand is the visible confirmation.

The Knowledge Graph Search API “lets you find entities in the Google Knowledge Graph.” It needs a free Google Cloud API key and returns matching entities with an ID, type, description and relevance score:

curl "https://kgsearch.googleapis.com/v1/entities:search?query=plannora&types=Organization&limit=3&key=YOUR_API_KEY"
 
# In each result, look for:
#   "@id": "kg:/m/..."          the entity's machine ID
#   "@type": ["Organization"]   the type Google assigned
#   "description"               Google's short label for it
#   "resultScore"               how strong the match is

• No result for a distinctive name usually means Google hasn’t reconciled you into an entity yet. Start with the steps above.
• The wrong entity for a shared name means disambiguation is your job: pair your name with your category everywhere.
• Right entity, wrong facts: if you have a panel, claim it and suggest changes.

Does the Knowledge Graph matter for AI search?#

The Knowledge Graph matters directly for Google’s AI features, since Google says AI Mode draws on it, and indirectly everywhere else, because the consistent, well-sourced facts that get a brand into the graph are the same ones other AI models learn from and retrieve.

• AI Mode uses it

  Official

  Google: AI Mode can “tap into fresh, real-time sources like the Knowledge Graph, info about the real world, and shopping data for billions of products.”

• Gemini names more than it links

  Observed

  When Gemini includes a brand, it names it in the text 83.7% of the time and links a source only 21.4% of the time (Semrush, June 2026).

• Entity strength behind those mentions

  Our read

  Knowledge Graph strength plausibly contributes to Gemini’s unlinked brand mentions, but neither Google nor any study has shown it directly.

• Other engines use other indexes

  Our read

  ChatGPT draws on Bing and OpenAI’s own index, Claude on Brave Search, Perplexity on its own. Nothing suggests they query Google’s graph — they learn entities from the same web sources it does.

The practical takeaway: don’t chase a panel for its own sake. Chase what produces one — being described consistently by sources engines trust — and the same work shows up in brand mentions and AI visibility on every engine.

Related terms#

• Authority & off-siteEntity SEOThe practice of making search engines and AI models recognize a brand, person or product as a distinct, well-described thing — an entity with consistent facts and relationships — rather than a string of keywords, so it can be tied to the topics it should be recommended for.Read the entry
• Technical SEOSchema markupStructured data, usually written as JSON-LD with the Schema.org vocabulary, that labels what a page contains — an article, a product, an organization, a local business — so search engines can interpret it unambiguously and show it as rich results.Read the entry
• Authority & off-siteBrand mentionsAny reference to a brand’s name on another website, forum, review site or video, with or without a link, and in large studies mentions correlate more strongly with visibility in AI answers than backlinks do.Read the entry
• AI search & GEOAI ModeA conversational search experience inside Google Search that answers complex questions with a generated response built from many parallel sub-searches and supports follow-up questions, rather than summarizing above the classic results as AI Overviews do.Read the entry
• Authority & off-siteDigital PRThe practice of earning coverage, links and mentions from news sites, publications and industry blogs by giving journalists something worth reporting — original data, expert comment, a story — which builds both backlinks and the brand mentions AI models learn from.Read the entry
• AI search & GEOAI visibilityA measure of how often, how prominently and how favorably a brand appears in answers from AI systems such as ChatGPT, Perplexity, Gemini and Google AI Overviews for the questions its buyers ask — the AI-search counterpart to search rankings.Read the entry