Search engines have become much better at understanding things, people, places, businesses and relationships rather than simply matching exact words on a webpage.
That’s where entities come into SEO.
An entity can be a person, company, location, product, service, organization or other distinct concept.
For example, on my own website, some important entities and concepts include:
Jen Ruhman
Jen Ruhman SEO
San Diego
SEO
Local SEO
Google Business Profile
Google Search
AI search
Those aren’t simply keywords I want to repeat.
They’re connected pieces of information that help describe who I am, what my business does, where I work and what subjects my website covers.
As search evolves—including Google Search and AI-powered search experiences—I think it’s increasingly useful for businesses to understand the difference between optimizing around keywords and creating a digital presence that clearly represents the actual business behind those keywords.
Quick Answer: What Are Semantic Entities in SEO?
In SEO, an entity is a distinct person, place, organization, thing or concept that can be identified and understood independently of the particular words used to describe it.
For example:
“San Diego” is a place.
“Google Business Profile” is a product.
“Jen Ruhman SEO” is a business.
“Local SEO” is a concept.
Search engines can use context and relationships to better understand what information is about.
That doesn’t mean keywords no longer matter.
It means modern SEO isn’t limited to matching strings of words.
Keywords vs. Entities: What’s the Difference?
Keywords and entities are related, but they aren’t the same thing.
A keyword is generally a word or phrase someone searches.
An entity is the actual thing or concept those words may refer to.
For example, someone might search:
“SEO expert near me”
The words in that query are keywords.
But understanding and responding to that search may involve concepts and entities such as:
SEO
the searcher’s location
SEO businesses
individual SEO professionals
services offered
geographic relevance
This is one reason I don’t think businesses should approach SEO by simply repeating a target phrase as many times as possible.
The page needs to make sense as a whole.
Why Do Entities Matter for SEO?
Search engines need to interpret information.
Consider a business website.
It may contain information about:
the business
the owner
employees
services
products
locations
credentials
reviews
projects
articles
and other organizations or people associated with it.
Those pieces of information aren’t necessarily isolated.
They have relationships.
A person may own a company.
A company may provide a service.
A service may be available in a particular location.
An author may write articles about a subject in which they have experience.
A business may belong to a professional organization.
Those relationships can provide useful context.
For SEO, the practical lesson is simple:
Make important information about your business clear, accurate and consistent.
Don’t force search engines—or your customers—to piece together a confusing story.
What Does “Semantic SEO” Mean?
Semantics deals with meaning.
So when people talk about semantic SEO, they’re generally talking about optimizing content around meaning, context, related concepts and relationships rather than focusing exclusively on exact keyword matching.
For example, imagine a page about local SEO.
A useful page might naturally discuss:
Google Business Profile
Google Maps
local search intent
reviews
service areas
local landing pages
business information
citations
and local visibility.
You wouldn’t include those concepts because you found a magical list of “semantic keywords.”
You’d include them when they’re useful because they’re naturally related to the subject.
This is closely related to topical authority—building meaningful depth around the subjects that actually matter to your business.
That’s an important distinction.
Search Has Moved Beyond Exact-Match Keywords
Keywords still matter.
I use keyword research regularly.
I want to know how people describe a service, what questions they’re asking and what terminology they use when they’re looking for help.
But I don’t optimize a page by asking only:
“How many times did I use my keyword?”
I also ask:
Does this page clearly answer the searcher’s question?
Does it explain the subject thoroughly enough?
Does it connect logically with other pages on the website?
Is it clear who created the information?
Is the business behind the website easy to understand?
Are we using terminology consistently?
That’s a much more useful way to think about modern SEO.
How Vector Search and Embeddings Relate to Semantic SEO
Another concept you’ll sometimes hear alongside semantic SEO is vector search.
In simple terms, some modern search and AI systems can represent information mathematically in ways that help them compare meaning and similarity. These numerical representations are commonly called embeddings.
That means two pieces of content don’t necessarily need to use identical words to be recognized as conceptually related.
For example, a page discussing search engine optimization for local businesses may be semantically related to a search about improving local visibility on Google, even though the wording isn’t identical.
This doesn’t mean keywords have stopped mattering, and it doesn’t mean businesses need to “optimize for embeddings” as a separate SEO tactic.
The practical lesson is much simpler: write clearly about the subject, cover genuinely relevant concepts, use natural terminology and organize related information logically.
How Knowledge Graphs Fit Into Entity-Based Search
A knowledge graph represents information through entities and the relationships between them.
A simplified example could look like this:
Jen Ruhman → owns → Jen Ruhman SEO
Jen Ruhman SEO → provides → SEO services
Jen Ruhman SEO → serves → San Diego
Jen Ruhman → writes about → Local SEO
Those relationships provide context.
Google has publicly used knowledge graphs and entity-based systems for years. This isn’t something that suddenly appeared because of generative AI.
I wouldn’t tell a business owner that building an “entity graph” on their website guarantees rankings or causes an AI system to recommend their company.
It doesn’t.
Instead, I look at entity clarity as part of making a website and business less ambiguous and easier to understand.
Start With Your Primary Business Entity
One of the practical exercises I like is creating what I call a Business Entity Sheet.
This isn’t something you submit to Google.
It’s an internal reference document that helps keep important business information consistent.
For a local business, I might include:
Official business name
The exact name the company uses publicly.
Primary website
The canonical website associated with the business.
Owner or founder
When relevant and publicly disclosed.
Primary business category
What the business actually is.
Core services
The consistent names used for the primary services.
Location or service area
Where the company actually operates or provides services.
Contact information
Accurate public phone, address and other relevant information.
Professional credentials
Licenses, certifications or qualifications when applicable.
Important people
Doctors, attorneys, advisors, practitioners, founders or other professionals directly associated with the business.
Once you establish those facts, you can compare them across your website and other important profiles.
The goal isn’t to manipulate search engines.
The goal is to eliminate unnecessary inconsistency.
Make Your Services Clear Entities Too
One mistake I see on business websites is vague service architecture.
A company may provide five important services, but those services are buried inside one generic page.
Or the company uses different terminology every time it refers to the same service.
If a service is important enough to the business and customers genuinely need information about it, it may deserve a clearly defined page.
That page can explain:
what the service is
who it is for
what problem it addresses
what the process involves
where it is available
relevant qualifications or experience
common customer questions
and the appropriate next step.
This helps people understand the service.
It also creates a clearer website structure.
Consistency Doesn’t Mean Repeating the Same Keyword Everywhere
Entity consistency and keyword stuffing are not the same thing.
If your business provides search engine optimization, you don’t need to force the exact phrase “SEO company San Diego” into every paragraph.
In fact, that’s something I’ve deliberately reduced on my own website.
Natural language varies.
SEO can reasonably be discussed as:
SEO
search engine optimization
organic search
local SEO
search visibility
technical SEO
content optimization
depending on the context.
What I care about more is whether the underlying meaning remains clear.
Internal Linking Helps Establish Relationships Between Pages
Internal linking is one of the simplest ways to create a more understandable website.
Think about the relationship between:
your homepage
your main service pages
supporting articles
location information
case studies
your About page
and your contact or conversion pages.
Those pages shouldn’t exist as isolated islands.
For example, an article explaining Google Business Profile optimization may naturally link to a local SEO service page.
A guide about AI search may naturally connect to an AI SEO service.
A case study may connect to the service responsible for the result.
The links are useful because they help visitors navigate related information and help search engines discover and understand the structure of the website.
I don’t need every supporting article to hammer the same exact-match commercial anchor text.
I’d rather have descriptive, natural internal links that accurately represent the destination page.
What Role Does Structured Data Play?
Structured data can provide explicit machine-readable information about certain things described on a webpage.
Depending on the content, supported structured data may identify information associated with an:
Organization
LocalBusiness
Person
Article
Product
Event
and other supported types.
I use structured data when it accurately describes content that genuinely exists on the page.
But schema is not an entity-ranking shortcut.
Adding Organization or LocalBusiness markup doesn’t automatically make Google trust a company.
Adding Person markup doesn’t establish expertise.
Adding FAQ markup doesn’t guarantee an answer will appear in Google or an AI response.
Structured data should clarify information, not manufacture it.
That’s also why I think structured content matters for SEO beyond simply adding schema markup.
Your Website Isn’t the Only Source of Information About Your Business
Your business exists across the web, not only on your own domain.
Depending on the business, information might also appear on:
Google Business Profile
professional associations
industry directories
local organizations
news publications
social profiles
review platforms
podcasts
event websites
partner websites
and other independent sources.
These references can provide additional information about the business.
This is one reason I prefer earning legitimate mentions rather than creating hundreds of low-quality citations or backlinks.
A genuine mention from a relevant organization or publication can have value beyond simply acquiring another link.
Entity SEO for Local Businesses
Entity clarity is especially practical for local businesses because geography is an important part of understanding the business.
If you operate in San Diego, your website should make your geographic relationship clear where relevant.
But that doesn’t mean stuffing pages with neighborhood names or randomly mentioning landmarks.
I wouldn’t add Balboa Park, Petco Park or La Jolla to an article merely because I wanted Google to associate a company with San Diego.
I’d use local information when it reflects something real.
For example:
a project completed in La Jolla
a service area covering Santee
an office located in Downtown San Diego
a case study involving a Hillcrest business
an event the company participated in locally
or a service page genuinely intended for customers in a particular area.
That’s much stronger than manufacturing “local signals.”
What About NAP Consistency?
For local businesses, your name, address and phone number should be accurate wherever customers are likely to encounter them.
Consistency helps prevent confusion.
However, I wouldn’t turn NAP consistency into an obsession over tiny formatting differences.
What’s most important is that people and platforms can correctly identify the same business and that outdated or incorrect information isn’t sending customers to the wrong location or phone number.
Your Google Business Profile, website and important business listings should reflect accurate information.
People Can Be Important Entities Too
For professional-service businesses, the people behind the company may be particularly important.
Consider:
a physician
an attorney
a financial advisor
a therapist
a consultant
or an SEO professional.
Customers may want to know who they’re trusting.
That’s why strong About and author information can be useful.
Depending on the business, that might include:
professional experience
education
credentials
licenses
areas of expertise
original photographs
published work
professional affiliations
and firsthand experience.
These aren’t simply “E-E-A-T signals” to sprinkle onto a page.
They’re useful information about the actual person behind the content or service.
Entities and E-E-A-T Are Not the Same Thing
This distinction is important.
Google’s concept of E-E-A-T—Experience, Expertise, Authoritativeness and Trustworthiness—is not a simple ranking score.
And I wouldn’t describe E-E-A-T as a collection of “entity signals.”
Entities can help search systems understand who or what something is.
Information demonstrating experience or expertise can help people—and potentially search systems—better evaluate the source.
Those concepts can intersect, but they’re not interchangeable.
If you want to go deeper into that distinction, I’ve written a separate guide explaining E-E-A-T and how it relates to SEO.
For businesses, the practical approach is straightforward:
Don’t manufacture expertise for SEO.
Show the expertise that actually exists.
What Do Semantic Entities Mean for AI Search?
This is where the topic gets especially interesting.
AI-powered search and answer systems also need to interpret information about businesses, people, services, products and subjects.
That makes clarity valuable.
But I would be careful with claims such as:
“Add entity schema and ChatGPT will recommend you.”
or
“Build an entity graph and you’ll appear in Google AI Overviews.”
There isn’t a universal formula that guarantees those outcomes.
Different systems work differently, and the information available to them can vary.
That’s why I prefer focusing on making a business genuinely understandable rather than chasing an AI visibility trick. I explain that broader approach in my guide to how to get your business recommended by ChatGPT and AI search.
What businesses can control is whether their digital presence clearly communicates:
who they are
what they do
where they operate
who is behind the business
what subjects they have genuine expertise in
and whether those facts are supported consistently across relevant sources
That’s useful for traditional search, local SEO and the broader AI-search environment.
Entity SEO Is Not About Creating More Pages
This is especially important given how easy AI has made content production.
If you identify ten related entities, that doesn’t automatically mean you need ten new blog posts.
Sometimes the correct action is:
improving an existing page
consolidating two overlapping pages
adding a missing section
creating a genuinely necessary service page
improving internal links
updating business information
or doing nothing because the subject is already covered well.
I’ve been applying this exact principle to my own website.
I’m not trying to create the largest possible SEO library.
I’m trying to create the clearest and most useful one.
A Practical Semantic Entity SEO Checklist
If you’re reviewing your own business website, start with these questions:
Is my business name consistent and clear?
Can someone quickly understand what my company does?
Are my primary services clearly defined?
Is my location or service area accurate?
Are the important people behind the company properly identified?
Do important service pages have enough information to stand on their own?
Do related pages link to one another naturally?
Does my About page explain the actual experience behind the business?
Does structured data accurately reflect visible page content?
Are important third-party profiles accurate?
Am I creating content because customers need it—or merely because an SEO tool suggested another keyword?
That last question may be the most important one.
Semantic SEO Doesn’t Replace Keyword Research
I don’t want businesses to walk away from this article thinking keywords are obsolete.
They’re not.
Keyword research helps us understand the language people use.
Search intent helps us understand what they’re trying to accomplish.
Entity and semantic thinking helps us understand the meaning and relationships behind that language.
I use all three.
For example, I may begin with a keyword because it reveals demand.
Then I look at the intent behind it.
Then I decide which page should satisfy that intent.
Then I consider how that page relates to the business, services and supporting information around it.
That’s much more strategic than simply placing a keyword into a title and repeating it throughout the page.
How Semantic SEO Fits With GEO and AI SEO
Semantic SEO, entity optimization, GEO and AI SEO overlap, but I wouldn’t treat them as interchangeable terms.
Semantic SEO is largely about meaning, context and relationships.
Generative Engine Optimization (GEO) is a newer term generally used to describe efforts to improve visibility or representation within generative search experiences.
AI SEO is an even broader term that can describe search optimization in an environment increasingly influenced by AI-powered search features and platforms.
The terminology will continue evolving.
The important part isn’t memorizing every acronym.
It’s creating a digital presence that is technically accessible, logically organized, useful to people and clear about the business behind it.
Final Thoughts: Make Your Business Easier to Understand
Entity SEO can sound extremely technical.
But the underlying idea is actually simple.
Make your business make sense.
Clearly identify the company.
Clearly explain its services.
Accurately represent its location.
Show the real people behind it.
Connect related information logically.
Use structured data when appropriate.
Earn legitimate recognition beyond your own website.
And create content that demonstrates what you genuinely know rather than trying to manufacture authority with more pages.
That’s useful whether someone discovers your business through traditional Google Search, Google Maps, an AI-powered search experience or somewhere else entirely.
If you’re a San Diego business owner and want help improving how your website and business are understood across traditional and AI-powered search, learn more about my AI SEO services in San Diego.
Or call/text me directly at (619) 719-1315.
Get found. Get trusted. Get chosen.
— Jen Ruhman
San Diego SEO Expert
Frequently Asked Questions
What is a semantic entity in SEO?
A semantic entity is a distinct person, place, organization, thing or concept that can be understood independently of the exact words used to describe it. In SEO, entities can provide context about what content and businesses represent.
What’s the difference between an entity and a keyword?
A keyword is a word or phrase someone searches. An entity is the person, place, business, thing or concept the words may refer to. Keywords remain useful, but entity relationships can provide additional context and meaning.
Do entities replace keywords in SEO?
No. Keyword research remains useful for understanding how people search and what terminology they use. Entity and semantic SEO add context by considering meaning, relationships and how information fits together.
Does schema markup help establish entities?
Structured data can provide explicit machine-readable information about content on a page and can help clarify certain relationships. However, adding schema doesn’t automatically establish authority, improve rankings or guarantee visibility in AI-generated results.
Can entity SEO help with AI search?
Clear, consistent information about a business, its services, people and locations can make its digital presence easier to understand. However, there is no entity optimization technique that guarantees a business will be cited or recommended by an AI system.
Should local businesses mention neighborhoods and landmarks for entity SEO?
Only when they’re genuinely relevant. A business should use geographic information to accurately explain its location, service area, projects or customers rather than inserting neighborhood and landmark names solely for SEO.
What is a business entity sheet?
A business entity sheet is an internal reference document containing important facts such as the official business name, website, services, location or service area, owner or key people, contact information and relevant credentials. It can help businesses keep important information consistent across their website and other profiles.