Search "jaguar" and Google has to decide whether you mean the animal, the car brand or a sports team. It does not solve that by counting how often the word appears on a page. It solves it by understanding entities: distinct, real-world things with attributes and relationships to other things.
Entity SEO is the practice of making your business, people, products and topics easy for search engines to identify, disambiguate and connect. It matters more in 2026 than ever, because AI Overviews, AI Mode and other AI assistants also rely on understanding who and what a page is about before they cite it.
This guide explains what entities are, how Google's Knowledge Graph works, how entity understanding influences rankings, and a practical step-by-step process to strengthen your own entity signals.
Key Takeaways
- An entity is a uniquely identifiable thing, such as a person, organisation, place, product or concept, not just a word.
- Google's Knowledge Graph, launched in 2012, stores entities and the relationships between them.
- Consistent naming, clear "about" information, structured data with
sameAslinks and third-party corroboration help Google recognise your entity. - Topical depth around related entities signals expertise better than repeating one keyword.
- Entity clarity also supports visibility in AI-generated answers and knowledge panels.
What Is an Entity?
In search, an entity is a thing that is singular, unique, well defined and distinguishable. "Apple" is a string; Apple Inc. (the company) and apple (the fruit) are two different entities that share it. Each entity has attributes (founding date, headquarters, CEO) and relationships (Apple Inc. makes the iPhone; the iPhone is a smartphone).
| Keyword (string) | Entity (thing) | |
|---|---|---|
| Definition | A sequence of characters typed into a search box | A uniquely identifiable real-world or abstract thing |
| Ambiguity | Often ambiguous ("mercury") | Unambiguous (Mercury the planet vs the element) |
| Language | Language-specific | Language-independent; names differ, the entity is the same |
| Relationships | None by itself | Connected to other entities via attributes |
| SEO focus | Matching words on the page | Making meaning, identity and context clear |
Things, Not Strings: The Knowledge Graph
Google introduced its Knowledge Graph on 16 May 2012 in a post by Amit Singhal titled "things, not strings". At launch, Google said the graph contained more than 500 million objects and more than 3.5 billion facts about them and their relationships. The post illustrated the problem with a famous example:
“Language can be ambiguous—do you mean Taj Mahal the monument, or Taj Mahal the musician?”
— Amit Singhal, Google, Introducing the Knowledge Graph: things, not strings
The Knowledge Graph powers knowledge panels, entity carousels and many direct answers. Our guide to the Google Knowledge Panel explains how brands and people can claim theirs.
Google also exposes a read-only Knowledge Graph Search API that returns matching entities with their schema.org types, names, descriptions and a result score in JSON-LD. It is useful for checking whether your brand has a Knowledge Graph entry. Google notes it is migrating the API toward its Cloud Enterprise Knowledge Graph product, so check the documentation for current access.
How Entities Influence Rankings
Google's ranking systems lean heavily on concepts rather than exact words. Its ranking systems guide describes RankBrain this way:
“RankBrain is an AI system that helps us understand how words are related to concepts.”
— Google Search Central, A guide to Google Search ranking systems
Neural matching and BERT work in similar territory, helping Google connect the meaning of a query to the meaning of a page, as Pandu Nayak described in Google's 2022 post on how AI powers search results. In practice, entity understanding helps Google to:
- Disambiguate queries and pages, so a page about Jaguar cars is not shown for big-cat searches.
- Judge topical coverage by checking whether a page discusses the entities a thorough answer normally includes.
- Connect authors and brands to topics, which supports signals of experience, expertise, authoritativeness and trust. See our guide to E-E-A-T.
- Corroborate facts across many sources before showing them in panels or AI answers.
For the bigger picture of how these systems fit together, read our explainer on how search engines work.
How to Do Entity SEO: Step by Step
- Define your core entities. List your organisation, key people, products or services, locations and the main topics you want to be known for.
- Use one consistent name. Use the same brand name, address and descriptions everywhere: your site, social profiles, directories and press. Inconsistent names fragment your identity; our guide to local citations explains why this matters for local businesses.
- Create a definitive "about" page. State clearly who you are, what you do, when you were founded, who runs the company and where you operate.
- Add Organization or LocalBusiness structured data to your home page or about page, including
sameAslinks to your official profiles. - Give people their own pages. Author and team bios with credentials, and Person markup where appropriate, connect experts to the topics they write about.
- Build topical depth. Cover related entities and subtopics in a structured cluster rather than a single thin page. See our guide to pillar pages and topic clusters.
- Earn third-party corroboration. Mentions in reputable publications, industry associations and reliable databases help confirm your facts. Our article on unlinked brand mentions covers turning mentions into links.
- Audit and refine. Run your content through an entity extraction tool and check that the entities you care about are detected and prominent.
Structured Data for Entities
Google's Organization structured data documentation says that some properties "are used behind the scenes to disambiguate your organization from other organizations". It recommends adding the markup to your home page or a single page describing your organisation, not every page. A simple example:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Example Digital Ltd",
"url": "https://www.example.com",
"logo": "https://www.example.com/images/logo.png",
"foundingDate": "2012",
"sameAs": [
"https://www.linkedin.com/company/example-digital",
"https://www.youtube.com/@exampledigital",
"https://www.wikidata.org/wiki/Q000000"
]
}
</script>Use the most specific type that fits, such as LocalBusiness subtypes or OnlineStore. Google lists the logo requirement as at least 112×112 pixels. Validate your markup before publishing; our guide to testing structured data shows how, and the schema markup guide covers other types.
Entity SEO Tools
| Tool | What it helps with |
|---|---|
| Google Cloud Natural Language API | Extracts entities from text with types, salience scores and, where available, Knowledge Graph IDs and Wikipedia URLs |
| Knowledge Graph Search API | Checks whether an entity exists in Google's Knowledge Graph |
| Wikidata | Open knowledge base of entities with unique identifiers |
| Schema.org and Google's Rich Results Test | Defining and validating structured data |
| Search Console | Seeing which queries (and implied entities) your pages appear for |
Google's Natural Language API documentation describes entity analysis as returning information about entities in the text, "which generally refer to named things", with metadata about the entity's knowledge repository. A high salience score for your main topic suggests the page is clearly about that entity.
Entities and AI Search
AI Overviews and assistants such as ChatGPT and Perplexity need to know which brand or person a source represents before they can recommend or cite it. Clear, consistent, corroborated entity information makes that easier. Our guides to AI brand visibility and the AI search optimization checklist build on the steps above.
Common Mistakes
- Inconsistent brand names across sites and profiles, which makes it harder to connect mentions to one entity.
- sameAs links to unofficial pages, such as directory listings you do not control or unrelated profiles.
- Marking up information that is not visible or not true on the page.
- Keyword-only content that repeats a phrase without covering the related concepts a real expert would mention.
- Anonymous content with no author or organisation information.
- Expecting a knowledge panel on demand. Markup helps Google understand you; it does not guarantee a panel.
Related Guides
- Semantic SEO: How to Write for Meaning and Context
- Google Knowledge Panel: How to Get and Claim One
- People Also Ask: How to Appear in PAA Boxes
Frequently Asked Questions
What is entity SEO?
Entity SEO is optimising your content and online presence so search engines can clearly identify the things your site is about, such as your organisation, people, products and topics, and how they relate to each other.
What is the difference between an entity and a keyword?
A keyword is a string of text people type. An entity is the unique thing behind it. Several keywords, even in different languages, can refer to the same entity, and one keyword can refer to several entities.
Does schema markup create a Knowledge Graph entry?
Not by itself. Structured data helps Google understand and disambiguate your organisation, but entries in the Knowledge Graph depend on many sources corroborating the facts.
What does sameAs do in structured data?
It lists URLs of official profiles and reference pages for the same entity, such as social profiles or a Wikidata item, helping search engines connect them to your organisation.
How do I check whether my brand is a recognised entity?
Search for your brand to see if a knowledge panel appears, and query the Knowledge Graph Search API. Entity extraction tools can also show whether your brand name is recognised in text.
Is entity SEO important for AI search?
Yes. AI answers depend on identifying which sources and brands are relevant and trustworthy. Clear, consistent entity information makes your brand easier to recognise and cite.
Conclusion
Entity SEO is about removing doubt. When Google can tell exactly who you are, what you offer and which topics you are an authority on, every other SEO effort works harder. Name yourself consistently, describe yourself clearly, mark it up properly and earn corroboration from trusted sources.
Want help building a recognised brand entity and the topical authority to match? Explore our SEO services or get a free quote.
References
- The Keyword (Google): Introducing the Knowledge Graph: things, not strings
- Google for Developers: Knowledge Graph Search API
- Google Search Central: Organization structured data
- Google Cloud: Natural Language API basics
- Google Search Central: A guide to Google Search ranking systems
- The Keyword (Google): How AI powers great search results
- Semrush: What Are Entities & Why Do They Matter for SEO?
