Type “jaguar top speed” into Google and you get an answer about a big cat. Type “jaguar f-type top speed” and you get a car. The word “jaguar” is identical in both searches. One extra term, “f-type,” was enough to tell Google you meant the car maker and not the animal.
That is entity SEO in one search. An entity is a single, identifiable thing: a person, a company, a place, a product, an idea. Google stores these things in its Knowledge Graph along with their attributes and how they connect to each other. Since it launched the Knowledge Graph in 2012 under the phrase “things, not strings,” ranking has depended less on matching words and more on recognizing what a page is about.
Definitions only go so far. The 18 examples below show what entity SEO looks like on a real page: the markup, the wording, the links and the profiles that tell a search engine exactly which thing you are.
- Example 1: One Word, Three Entities
- Example 2: A Brand With a Common Name
- Example 3: Organization Schema With sameAs
- Example 4: The About Page as an Entity Home
- Example 5: An Author as a Person Entity
- Example 6: A Local Business Entity
- Example 7: A Product Entity
- Example 8: A Topic Cluster Built Around One Entity
- Example 9: Rewriting a Paragraph for Entities
- Example 10: Internal Links With Entity Anchors
- Example 11: about and mentions in Article Schema
- Example 12: Titles, Headings and URLs
- Example 13: Entity, Attribute, Value
- Example 14: A Wikidata Entry
- Example 15: Mentions That Tie a Brand to a Topic
- Example 16: Image Signals
- Example 17: An Event Entity
- Example 18: Consistent Facts for AI Search
- Entity SEO Examples: Quick Reference
- Examples of Entity SEO Done Badly
- FAQs
Example 1: One Word, Three Entities
“Mercury” can be a planet, a chemical element or a Roman god. A page that only repeats the word gives Google nothing to work with. A page that surrounds it with related entities settles the question.
| Entity meant | Words and entities that confirm it |
|---|---|
| Mercury (planet) | orbit, Sun, NASA, MESSENGER, solar system, Venus |
| Mercury (element) | Hg, atomic number 80, thermometer, liquid metal, toxicity |
| Mercury (god) | Roman mythology, Jupiter, Hermes, messenger, winged sandals |
What to copy: before writing, list the five or six entities that always appear alongside your topic, and make sure they are on the page.
Example 2: A Brand With a Common Name
Apple the company and apple the fruit are separate entries in Wikidata: Q312 and Q89. Google keeps them apart the same way. A small brand with an ordinary name has to earn that separation.
Take a fictional roaster called Mercury Coffee. Its home page title reads “Mercury Coffee Roasters | Specialty Coffee in Austin, Texas.” The About page names the founders, the year it opened and the street address. Every profile uses the full name “Mercury Coffee Roasters,” never just “Mercury.” Within a few lines, a crawler knows this is a business, what kind, and where.
What to copy: pair an ambiguous name with a category and a place everywhere it appears.
Example 3: Organization Schema With sameAs
Structured data states in plain terms who you are. The sameAs property links your site to your other verified profiles so they are read as one entity.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"@id": "https://www.larkspurbakery.com/#organization",
"name": "Larkspur Bakery",
"url": "https://www.larkspurbakery.com/",
"logo": "https://www.larkspurbakery.com/images/logo.png",
"foundingDate": "2014",
"founder": {
"@type": "Person",
"name": "Elena Marsh"
},
"sameAs": [
"https://www.instagram.com/larkspurbakery",
"https://www.facebook.com/larkspurbakery",
"https://www.linkedin.com/company/larkspur-bakery"
]
}
</script>
What to copy: give the organization a stable @id, and list only profiles you control or that describe you accurately.
Example 4: The About Page as an Entity Home
Google looks for one page that speaks for the entity. For most brands that is the About page. A weak one says “We are passionate about quality.” A strong one reads like a reference entry:
Larkspur Bakery is an artisan bakery in Portland, Oregon, founded in 2014 by pastry chef Elena Marsh. It specializes in naturally leavened sourdough and laminated pastries, and supplies bread to more than 30 restaurants in the Portland area. The bakery operates two locations, on SE Division Street and in the Pearl District.
Name, type, location, founder, date, specialty, scale. Each is a fact that can be matched against other sources.
What to copy: open the About page with one factual paragraph, and repeat the same facts word for word on every external profile.
Example 5: An Author as a Person Entity
An article signed “Admin” has no author entity. An article signed by a named person with a bio page, credentials and matching profiles does.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Person",
"@id": "https://www.example.com/authors/priya-nair/#person",
"name": "Priya Nair",
"jobTitle": "Registered Dietitian",
"worksFor": {
"@type": "Organization",
"name": "Example Health"
},
"alumniOf": "University of Leeds",
"knowsAbout": ["sports nutrition", "gut health", "meal planning"],
"sameAs": [
"https://www.linkedin.com/in/priyanair-rd"
]
}
</script>
What to copy: one author page per writer, linked from every byline, with knowsAbout limited to the subjects that person actually covers.
Example 6: A Local Business Entity
For a local business the entity is built from name, address and phone number. A dental clinic listed three ways across the web looks like three businesses:
- Brightside Dental, 42 King St.
- Brightside Dental Care Ltd, 42 King Street, Suite 2
- Bright Side Dentistry, King Street
The fix is one exact format, used on the website, the Google Business Profile, Bing Places, Apple Maps and every directory. The primary category on the Google Business Profile (“Dentist”) and the LocalBusiness subtype in the schema (Dentist) should say the same thing.
What to copy: pick a single spelling of your name and address and correct every listing that differs. Our local SEO statistics show how much of local search runs through these profiles.
Example 7: A Product Entity
Products are entities with identifiers. A GTIN or MPN lets Google match your listing to the same product elsewhere.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Trailhead 45L Hiking Backpack",
"brand": {
"@type": "Brand",
"name": "Northfold"
},
"gtin13": "0123456789012",
"mpn": "NF-TH45-GRN",
"color": "Forest Green",
"material": "Recycled nylon",
"offers": {
"@type": "Offer",
"price": "149.00",
"priceCurrency": "USD",
"availability": "https://schema.org/InStock"
}
}
</script>
What to copy: fill in brand, identifier, color and material. Those attributes are what shopping results filter on.
Example 8: A Topic Cluster Built Around One Entity
A keyword approach to sourdough produces ten near-identical posts: “sourdough recipe,” “best sourdough recipe,” “easy sourdough recipe.” An entity approach maps the thing and everything attached to it.
| Page | Entity or attribute covered |
|---|---|
| Sourdough Bread: The Complete Guide | The main entity |
| How to Make a Sourdough Starter | Starter (a component) |
| Hydration Levels Explained | Hydration (an attribute) |
| Bulk Fermentation Times by Temperature | Fermentation (a process) |
| Dutch Oven vs Baking Stone | Equipment (related entities) |
| Sourdough vs Yeast Bread | A comparison with a sibling entity |
| San Francisco Sourdough History | Origin and place |
What to copy: plan clusters by parts, attributes, processes and related things. This is also the fastest route to topical authority without backlinks.
Example 9: Rewriting a Paragraph for Entities
Before:
This popular tool helps you see how your site is doing. It shows lots of useful data and many experts recommend it for anyone who wants better results.
After:
Google Search Console is a free tool from Google that reports how a website performs in Google Search. Its Performance report shows clicks, impressions, click-through rate and average position for each query, and its Page indexing report lists URLs that Googlebot could not index.
The first version names nothing. The second names the product, its owner, two of its reports and four of its metrics.
What to copy: replace “this tool,” “the platform” and “it” with the actual name wherever the sentence allows.
Example 10: Internal Links With Entity Anchors
| Weak anchor | Entity anchor |
|---|---|
| click here | sourdough starter guide |
| read more | Elena Marsh, head baker |
| this article | bulk fermentation times |
| our services | wholesale bread delivery in Portland |
Each entity should also have one page that every mention links to. If “sourdough starter” points to three different URLs across the site, the signal is split.
What to copy: one canonical page per entity, and the entity’s name as the anchor. Several internal linking tools can find the mentions you have not linked yet.
Example 11: about and mentions in Article Schema
Article markup can state the main subject and the secondary ones, each tied to a public reference.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "How the Eiffel Tower Was Built",
"author": {
"@type": "Person",
"name": "Marc Lefevre"
},
"about": {
"@type": "Place",
"name": "Eiffel Tower",
"sameAs": "https://www.wikidata.org/wiki/Q243"
},
"mentions": [
{
"@type": "Person",
"name": "Gustave Eiffel",
"sameAs": "https://en.wikipedia.org/wiki/Gustave_Eiffel"
},
{
"@type": "Event",
"name": "Exposition Universelle (1889)",
"sameAs": "https://en.wikipedia.org/wiki/Exposition_Universelle_(1889)"
}
]
}
</script>
What to copy: use about for the one thing the page is about, and mentions for the two or three supporting entities.
Example 12: Titles, Headings and URLs
| Element | Vague | Entity-clear |
|---|---|---|
| Title | Everything You Need to Know | Tesla Model 3 Range: Real-World Tests by Trim |
| H2 | Our Findings | Model 3 Long Range: Highway Range at 70 mph |
| URL | /blog/post-482 | /tesla-model-3-range/ |
What to copy: name the entity and the attribute in the title, and repeat the entity in at least one subheading.
Example 13: Entity, Attribute, Value
Many searches are a request for one attribute of one entity. “How tall is the Eiffel Tower” breaks down as:
- Entity: Eiffel Tower
- Attribute: height
- Value: 330 meters
Pages that state the value in a plain sentence directly under a matching heading are the ones lifted into answer boxes:
How tall is the Eiffel Tower?
The Eiffel Tower is 330 meters (1,083 feet) tall, including its antennas.
What to copy: list the attributes people ask about for your entity and answer each in one sentence. The same structure helps with featured snippets.
Example 14: A Wikidata Entry
Wikidata describes entities as a set of statements. An entry for a company looks like this:
| Property | Value |
|---|---|
| instance of | business |
| industry | bakery |
| inception | 2014 |
| founded by | Elena Marsh |
| headquarters location | Portland, Oregon |
| official website | https://www.larkspurbakery.com/ |
Every statement needs a reference to an independent source, such as a news article or an official registry. An entry without references is likely to be removed.
What to copy: create an entry only when independent sources exist, and keep its facts identical to your About page and schema.
Example 15: Mentions That Tie a Brand to a Topic
A link is not the only useful signal. When a brand name keeps appearing next to the same topic on other sites, the association builds. Three mentions for the fictional bakery:
- A city food guide: “Larkspur Bakery’s country loaf is the best sourdough in Portland.”
- A podcast description: “Elena Marsh of Larkspur Bakery on long fermentation.”
- A restaurant menu: “Bread from Larkspur Bakery.”
None of these needs a hyperlink to connect “Larkspur Bakery” with “sourdough” and “Portland.”
What to copy: ask partners, suppliers and press to use your exact brand name next to the product and place you want to be known for. More on this in our comparison of brand mentions vs backlinks.
Example 16: Image Signals
| Element | Weak | Entity-clear |
|---|---|---|
| File name | IMG_4471.jpg | larkspur-bakery-country-sourdough-loaf.jpg |
| Alt text | bread | Country sourdough loaf from Larkspur Bakery, Portland |
| Caption | (none) | Head baker Elena Marsh scoring a country loaf at the Division Street bakery |
What to copy: name the entity in the file name, the alt text and the caption, and place the image next to the paragraph that discusses it.
Example 17: An Event Entity
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Event",
"name": "Sourdough for Beginners Workshop",
"startDate": "2027-03-14T10:00:00-08:00",
"endDate": "2027-03-14T13:00:00-08:00",
"eventAttendanceMode": "https://schema.org/OfflineEventAttendanceMode",
"location": {
"@type": "Place",
"name": "Larkspur Bakery",
"address": {
"@type": "PostalAddress",
"streetAddress": "3120 SE Division St",
"addressLocality": "Portland",
"addressRegion": "OR",
"postalCode": "97202",
"addressCountry": "US"
}
},
"organizer": {
"@id": "https://www.larkspurbakery.com/#organization"
}
}
</script>
The organizer points back to the @id from Example 3, so the event is attached to the same organization entity.
What to copy: reuse one @id across every schema type on the site so that events, articles and products all connect to the same organization.
Example 18: Consistent Facts for AI Search
AI assistants describe a brand by combining what many pages say about it. If the sources disagree, the summary comes out wrong.
| Source | Inconsistent | Consistent |
|---|---|---|
| Website | Founded 2014 | Founded 2014 |
| Founded 2015 | Founded 2014 | |
| Crunchbase | “Food company” | “Artisan bakery in Portland, Oregon” |
| Press bio | “Cafe and bakery chain” | “Artisan bakery in Portland, Oregon” |
What to copy: write one 25-word description of the brand and use it everywhere. The same principle sits behind LLM SEO.
Entity SEO Examples: Quick Reference
| Goal | Signal | Where it goes |
|---|---|---|
| Disambiguate a name | Category, place and related entities | Titles, first paragraph, profiles |
| Define the brand | Organization schema, factual About page | Home page, About page |
| Establish authors | Person schema, bio page, bylines | Author pages, articles |
| Rank locally | Identical name, address and phone | Site footer, map listings, directories |
| Sell products | Brand, GTIN, attributes | Product pages, merchant feed |
| Cover a topic | Cluster by parts, attributes and relations | Content plan, internal links |
| Win answer boxes | Entity, attribute, value in one sentence | Under question headings |
| Be described correctly by AI | The same facts on every source | All owned and third-party profiles |
Examples of Entity SEO Done Badly
- Three names for one company. “Acme,” “Acme Inc.” and “Acme Solutions Group” on three profiles, with nothing linking them.
- Schema that contradicts the page. Markup says the business opened in 2010 and the About page says 2012.
- sameAs pointing at the wrong thing. A link to a competitor’s Wikipedia page or to a category page.
- Pronoun-heavy copy. A 1,500-word review that names the product once and says “it” forty times.
- Entity stuffing. A paragraph listing every related term with no sentence explaining how they connect.
- Anonymous expertise. Medical or financial advice with no named author and no credentials.
- Split entity pages. Four thin posts on the same subject competing with each other and none of them complete.
FAQs
What Is an Entity in SEO?
An entity is a distinct, well-defined thing that a search engine can identify and store facts about: a person, organization, place, product, event or concept. “Eiffel Tower” is an entity. “Tall” is not.
How Is Entity SEO Different From Keyword SEO?
Keyword SEO matches the words in a query to the words on a page. Entity SEO makes clear which thing the page is about, what its attributes are and how it relates to other things. Keywords still matter. They work better when the entity behind them is unambiguous.
Do You Need a Wikipedia Page for Entity SEO?
No. Wikipedia helps, but most businesses do not qualify for a page. A clear About page, Organization schema, consistent profiles and independent mentions are enough for Google to recognize an entity.
Does Schema Markup Create an Entity?
Not on its own. Schema describes an entity in a format machines read easily. Google still looks for other sources that confirm what the markup says.
How Do You Check Which Entities Google Sees on a Page?
Paste the text into Google’s Natural Language API demo. It returns the entities it detects, their types and a salience score from 0 to 1 that shows how central each one is to the text. If your main subject is not at the top, the page needs clearer wording.
How Long Does Entity SEO Take to Work?
Markup and on-page changes are picked up at the next crawl. Recognition as an entity, shown by a knowledge panel or accurate brand answers, depends on outside sources agreeing with you and usually takes months.
