Entity SEO

What is an entity in SEO?#

An entity in SEO is a distinct, identifiable thing — a company, person, product, place or concept — that a search engine understands through its attributes and relationships rather than the words used to name it, an idea Google summed up as “things, not strings.”

Google made the shift public in May 2012, launching its Knowledge Graph with more than 500 million objects and 3.5 billion facts about them. By 2020 Google said the graph held over 500 billion facts about five billion entities. Entities can be told apart even when they share a name: a search engine that knows which Mercury you mean — the planet, the element or the band — can answer instead of matching keywords.

For a business, the entity is the brand plus its facts: its category, what it makes, who founded it, where it’s based and which topics it’s associated with. Entity SEO is making those facts easy to find, identical everywhere, and connected to the subjects you want to be recommended for.

How do AI models understand entities?#

AI models understand entities through the text they’re trained on and the pages they retrieve: a brand described consistently across many independent sources becomes a clear association a model can recall and name, while scattered or conflicting descriptions leave it vague.

Most language models don’t look brands up in a curated database the way Google Search uses its Knowledge Graph. What a model says about you without searching comes from its training data; what it says when it searches comes from the pages it retrieves. Both reward the same thing: the same facts, in similar words, across sources the model trusts.

• Mentions track AI visibility

  Observed

  Across 75,000 brands, YouTube mentions (~0.74) and branded web mentions (0.66–0.71) correlated most with how often AI assistants mention a brand; Domain Rating correlated 0.27 in ChatGPT (Ahrefs).

• Named, not linked

  Observed

  When Gemini includes a brand, it names it in the text 83.7% of the time but links a source only 21.4% of the time (Semrush). Recognition is half of Gemini visibility.

• Google's AI draws on the Knowledge Graph

  Official

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

• Consistency beats volume

  Our read

  A model can only repeat the description it has seen most. Three different category labels across your site, directories and reviews dilute the one association you want.

Does schema markup help entity SEO?#

Schema markup helps Google disambiguate your organization and connect your official profiles through sameAs, but Google says no special schema is needed for its AI features, and evidence that markup earns citations in other AI engines is thin — so treat schema as a clarifier, not a shortcut.

Google’s Organization structured data documentation says the markup “can help Google better understand your organization’s administrative details and disambiguate your organization in search results.” Its sameAs property lists your profiles on other sites — an explicit statement that they all describe the same entity. There are no required properties.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Plannora",
  "url": "https://plannora.io",
  "logo": "https://plannora.io/logo.png",
  "description": "Project management software for small agencies.",
  "foundingDate": "2023",
  "sameAs": [
    "https://www.linkedin.com/company/plannora",
    "https://www.youtube.com/@plannora",
    "https://www.g2.com/products/plannora"
  ]
}
</script>

What schema won’t do: Google’s AI guide says “structured data isn’t required for generative AI search, and there’s no special schema.org markup you need to add.” Markup that contradicts the visible page undermines trust rather than building it. See schema markup, or build a valid block with the free schema generator.

How do you do entity SEO?#

Do entity SEO by writing one canonical description of your company, publishing it on a fact-rich About page with Organization markup, repeating the same name, category and facts on every profile you control, and earning independent sources that describe you the same way.

1. Write the canonical description. One sentence: name, category, who it’s for, what makes it different. Use it word for word on your homepage, About page and profiles.
2. Build an About page that states facts. Founders, founding year, location, what you make, who you serve — the details that separate you from namesakes.
3. Align every profile you control. LinkedIn, YouTube, review sites, app marketplaces and directories: same name, same category, same one-liner, each linked back to your site and listed in sameAs.
4. Give your people pages too. Founders and authors are entities; bylines linked to author pages tie their expertise to your brand. See E-E-A-T.
5. Earn independent descriptions. Reviews, press, podcasts and community threads that describe you in your category’s words. See brand mentions.
6. Check what engines say. Ask ChatGPT, Perplexity and Gemini “What is [your brand]?” every quarter and compare the answer with your canonical description.

Common mistakes with entity SEO#

The most common entity SEO mistakes are describing the company differently on every profile, relying on schema markup while the visible web says something else, and chasing a Wikipedia article before the brand has the independent coverage to justify one.

Related terms#

• Authority & off-siteKnowledge GraphA database of hundreds of billions of facts about entities — people, places, organizations and products — and the relationships between them, which Google uses to understand queries, fill knowledge panels and help its AI features tell one brand from another.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
• 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-siteE-E-A-TThe framework Google’s search quality raters use to judge whether content is credible, with trust at its center; it is not a single ranking factor but a description of what Google’s systems aim to reward.Read the entry
• How LLMs answerLLM training dataThe body of text — web crawls, books, code, licensed and forum content — that a language model learns from before release, and it shapes what the model says about a brand without searching, in a way that can’t be edited until the next model is trained.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