What is entity SEO?
Entity SEO is the work of making sure search engines and AI systems know exactly which real-world thing a page, brand or person is, and what is true about it. An entity is a distinct, identifiable thing: a company, a person, a product, a place or a concept. Schema App quotes Google's description of an entity as "a thing or concept that is singular, unique, well-defined, and distinguishable" [10].
A simple example: "Mercury" can be a planet, a chemical element, a Roman god or a car brand. Keyword SEO asks whether a page contains the word "Mercury". Entity SEO asks whether a search engine can tell which Mercury the page is about, connect it to everything else it knows about that Mercury, and trust the facts. For a business, entity SEO means Google can tell your company apart from every other company with a similar name, and knows your founders, location, products and official profiles.
Why is entity SEO badly defined?
Entity SEO is badly defined because the label is used for three different jobs that need different work. Most guides blur them into "add schema markup", which covers only part of one job.
| Job | The question it answers | Main work |
|---|---|---|
| Identity | Does the search engine know this entity exists and which one it is? | An entity home page, consistent name and details, sameAs links to official profiles, third-party listings |
| Understanding | Can the search engine tell which entities a page is about? | Clear writing that names entities explicitly, structured data, internal links between related pages |
| Corroboration | Do independent sources confirm the facts? | Mentions, coverage and listings on sites the search engine already trusts |
Search Insider treats a piece of work as entity SEO only if it serves at least one of these jobs. Sprinkling related keywords into a page is ordinary content optimization, not entity SEO.
How does Google use entities in search?
Google uses entities through its Knowledge Graph, a database of facts about people, places and things that it uses to answer factual queries [9]. When Google launched the Knowledge Graph on May 16, 2012, it described the shift as "things, not strings" and named three uses: telling apart things with the same name, showing a summary of key facts, and helping people discover connected things [1].
By May 2020, Google said the Knowledge Graph held over 500 billion facts about five billion entities, drawn from Wikipedia, hundreds of other web sources, licensed data and structured data supplied by site owners [2]. Google's help pages say facts come from public sources, licensed data and content owners who claim their knowledge panels [9].
Entities appear in visible places (knowledge panels, "People also search for" carousels, the brand search results page) and in invisible ones: understanding what a query is about, and deciding which pages discuss the thing the searcher means. Google has never published an "entity score" or said how much entity recognition affects ranking for a given query.
When did entity SEO start?
Entity SEO grew out of two Google changes: the Knowledge Graph in May 2012 and the Hummingbird algorithm in 2013. No single person is documented as coining the term, and it spread through SEO writing in the years after those launches.
2012: the Knowledge Graph
Google introduced the Knowledge Graph on May 16, 2012, with more than 500 million objects and 3.5 billion facts, built from sources including Freebase, Wikipedia and the CIA World Factbook [1].
2013: Hummingbird
Google announced Hummingbird on September 26, 2013, after it had already been running for about a month [8]. Hummingbird shifted Google's query handling toward the meaning of a whole query rather than individual keywords, which made entities and their relationships more central to ranking [8].
2019: Google stops needing social profile markup
In June 2019, Google deprecated social profile markup for knowledge panels and said it would discover social profiles automatically [6]. For entity SEO this was a signal that Google builds identity from what it finds across the web, not from what a site declares about itself.
2020: 500 billion facts
In May 2020, Google said its Knowledge Graph had grown to over 500 billion facts about five billion entities and explained that people and organizations could claim their knowledge panels to suggest changes [2].
What is the difference between entity SEO and keyword SEO?
Keyword SEO targets the words people type, while entity SEO targets the thing those words refer to. A keyword is a string of characters. An entity is a real thing with an identity that stays the same whatever words describe it.
In practice the two work together. Keyword research tells you how people phrase their searches. Entity SEO makes sure the search engine maps those searches to the right thing, and that your page or brand is clearly connected to it. A page can rank for a keyword without the search engine recognizing the brand behind it as an entity at all, which is common for small businesses.
What is the difference between entity SEO and schema markup?
Schema markup is one tool used in entity SEO, not the same thing. Structured data gives Google "explicit clues about the meaning of a page", and Google says it also uses markup to gather information about people, books and companies in the world generally [3].
Markup alone does not create an entity in Google's eyes. Google says it draws Knowledge Graph facts from many sources, with Wikipedia commonly cited [2], and in 2019 it stopped relying on social profile markup for knowledge panels altogether [6]. Markup helps Google connect the dots it can already see. It cannot replace independent sources that confirm the entity exists.
How do you do entity SEO?
To do entity SEO, make one page the authoritative description of the entity, keep its facts consistent everywhere, and connect it to independent sources that confirm it:
- Pick an entity home. Usually the About page or homepage for a business, or a profile page for a person. State the name, what the entity is, where it is and who is behind it in plain sentences.
- Mark it up. Use Organization or Person structured data on that page. Google's Organization documentation says the markup can help disambiguate your organization in search results [4].
- Add sameAs links. List the URLs of the entity's official profiles on other sites, such as social profiles, a Wikidata entry or a review site profile [4] [5]. See sameAs markup.
- Make the facts match. Business name, address, founding date and founder names should read the same on your site, your directory listings and your social profiles. Contradictions make reconciliation harder.
- Earn corroboration. Listings on established directories and mentions in coverage give search engines independent confirmation. Search Insider's free Foundation Links list covers 300 business directories and profiles.
- Write about entities explicitly. On content pages, name the people, products and concepts you mean, rather than relying on pronouns or vague references.
How do you check if Google recognizes your entity?
To check whether Google recognizes your entity, search your exact brand or name and look for a knowledge panel, then look the name up in Google's Knowledge Graph Search API. The API returns matching entities with an ID in the form kg:/m/... and a relevance score [7].
Treat the API result as a rough check. Google says the API returns only individual matching entities rather than the connected graph, and that it is not suitable as a production-critical service [7]. An entity can exist in Google's systems without a visible knowledge panel, and a missing API result does not prove Google knows nothing about you.
A third check is the brand search results page itself. If a search for your brand name shows your own site, your official profiles and accurate third-party listings, Google is connecting the pieces. If it shows a different company with a similar name, the identity job is not done.
Does entity SEO help with AI search?
Entity SEO helps with AI search for the same reason it helps with Google: an AI assistant can only describe or recommend a brand accurately if the sources it reads agree on what that brand is. No AI company has published how entity signals affect which sources get cited, so claims that entity SEO guarantees AI citations are unsupported.
What is reasonable to say is narrower. Consistent facts across many independent pages reduce the chance an AI system confuses your brand with another one or repeats outdated details. That is the identity and corroboration work above, not a separate AI tactic.
When should you focus on entity SEO?
Focus on entity SEO when your brand name is ambiguous, when search results for your name show the wrong company or wrong facts, when you are launching a new brand, or when a person's reputation is part of what you sell. In those cases identity is the bottleneck, and more content or links will not fix it.
If Google already shows an accurate knowledge panel and your brand searches look clean, entity SEO becomes maintenance: keep facts consistent when they change, and keep adding independent coverage.