Entity SEO Explained: Why Google Understands Brands Better

SEO   practitioners have been obsessing about keywords and their importance for more than a decade. From keyword rich title tags, to keyword optimized meta descriptions, and endless linking building exercises with exact match anchor texts, everything revolves around keywords.

However, Google is already moving    away from keyword-based search results to entity-based search results.

If you are still thinking in terms of keywords while your competitor is already leveraging the power of entities for better search rankings, you are already behind.

This shift in Google’s approach is arguably one of the biggest paradigm shifts in search in the last 15 years.

And most Indian digital agencies haven’t realized this yet.

What Is an Entity? Moving Beyond Keywords

An entity is a real-world object of a distinct and specific nature that has some value or meaning. It can be a person, a company, a place, a product, or an idea. So, Apple Inc. is an entity, whereas “Apple” is a keyword.

The main difference between keywords and entities is that keywords answer the question “What words did the user type?”, whereas entities answer the question “What does the user want to know about?”

For example, when you search for Tesla on Google, the search engine will not consider “Tesla” as a keyword but rather as an entity. That means that Google will know you are talking about:

● A car manufacturer

● Founded by Elon Musk

● Headquartered in California

● Known for electric cars

● A publicly traded company under the ticker TSLA

● And not about the famous physicist Nikola Tesla

The reason why Google can differentiate between various real-world objects is that they have distinct values and traits. In other words, Tesla is considered an entity because it has its own knowledge graph.

The Knowledge Graph: Google's Entity Database

In 2012 Google launched the Knowledge Graph. With this update Google made it clear that they will no longer rely on keyword matching algorithm to rank web pages.

The Knowledge Graph is essentially a database of entities and their relationships. These are some of the statistics associated with the Google Knowledge Graph:

● 3.5 billion entities (and the number is growing)

● Relationships between different entities (e.g. Microsoft was founded by Bill Gates)

● Properties of each entity (e.g. Apple’s headquarters is located at 1 Apple Park Way)

● Context to distinguish between different entities

When you perform a search query on Google, your results are no longer dependent on the number of times a keyword appears on a web page. Instead, a search result is prioritized based on how well it describes a particular entity and its attributes.

For example, if you search “Apple headquarters,” you might get the following results:

● Entity information pane showing the address, phone number and photos of Apple’s HQ

● Related entities (e.g. Steve Jobs, Tim Cook, California)

● Rich snippets showing additional related information

This information is pulled from Google’s entity database, not from analyzing keywords on web pages.

Semantic SEO: Understanding Meaning, Not Just Words  
 

Semantic SEO is the practice of optimizing the website for meaning rather than keywords. Here are some examples of traditional SEO and semantic SEO:

Traditional SEO example:

● Target keyword: best iPhone 15 reviews

● Content strategy: write a page with best iPhone 15 review in the title, h1, and elsewhere on the page

Semantic SEO example:

● Target entity: iPhone 15 (with related entities: apple, iOS, camera, price)

● Content strategy: write an article about iPhone 15 entity and related entities such as competing products, features, and other relevant information

The semantic approach to SEO involves answering questions about the target entity such as what is this thing, what are its properties, how is it related to similar entities, and what are the common questions about this entity. Google has algorithms (such as  BERT ) that can understand semantics and intent, so it is essential to optimize for semantics. Traditional keyword-based SEO will not work as well as semantic SEO, as Google can understand the intent behind queries much better than before.

Structured Data: Teaching Google About Your Brand

Keywords are placed in natural text while entities are hidden in structured data.

Structured data (Schema markup) is machine code added to a website, which instructs Google about the entity with absolute precision. For instance, when one speaks of “Apple,” the search engine should know if it refers to the multinational corporation, the fruit, the tech giant, or even the music label.

Prior to applying structured data markup:

Apple Inc. was founded in 1976 by Steve Jobs, Steve Wozniak, and Ronald Wayne.

After installing the Schema:

Json

{

“@context”: “https://schema.org”,

“@type”: “Organization”,

“name”: “Apple Inc.”,

“founding Date”: “1976”,

“founder”: [

{

“name”: “Steve Jobs”

},

{

“name”: “Steve Wozniak”

},

{

“name”: “Ronald Wayne”

}

]

}

Now, Google does not need to guess if Apple is an organization and when and by whom it was founded. The search engine now knows it with a high level of certainty.

Schema.org offers a wide variety of applicable entities for brands. Some of the most common ones are:

● Organization – your business (name, logo, contacts, social links),

● Local Business – your physical locations (if any),

● Product – what you sell,

● Article – your content (blog posts, news, whitepapers), including the author, publishing date, and key topics/entities,

● Breadcrumb List – your website architecture/entities hierarchy.

Indian SEO agencies tend to ignore structured data markup as an optional task, while it is a must. Google Favors the correct entity markup by boosting its visibility

Structured data ( Schema markup ) is machine code added to a website, which instructs Google about the entity with absolute precision. For instance, when one speaks of “Apple,” the search engine should know if it refers to the multinational corporation, the fruit, the tech giant, or even the music label.

Prior to applying structured data markup:

Apple Inc. was founded in 1976 by Steve Jobs, Steve Wozniak, and Ronald Wayne.

After installing the Schema:

Json

{

“@context”: “https://schema.org”,

“@type”: “Organization”,

“name”: “Apple Inc.”,

“founding Date”: “1976”,

“founder”: [

{

“name”: “Steve Jobs”

},

{

“name”: “Steve Wozniak”

},

{

“name”: “Ronald Wayne”

}

]

}

Now, Google does not need to guess if Apple is an organization and when and by whom it was founded. The search engine now knows it with a high level of certainty.

Schema.org offers a wide variety of applicable entities for brands. Some of the most common ones are:

● Organization – your business (name, logo, contacts, social links),

● Local Business – your physical locations (if any),

● Product – what you sell,

● Article – your content (blog posts, news, whitepapers), including the author, publishing date, and key topics/entities,

● Breadcrumb List – your website architecture/entities hierarchy.

Indian SEO agencies tend to ignore structured data markup as an optional task, while it is a must. Google Favors the correct entity markup by boosting its visibility

Brand Entities: Making Your Business Recognizable to Google

Your brand is an entity. The question is: does Google  know about    it?  

A brand entity  comprises    of :  

• Entity Name - Your official business name

• Entity Recognition-Whether Google differentiates your entity from related entities

• Entity Properties - The typical attributes of the brand entity (industry, location, founded date, products)

• Entity Relationships - The usual relationship of your brand entity to other entities (founders, investors, competitors, related brands)

• Entity Authority - Whether your brand entity is dominant in any category

To strengthen your brand entity:

1.Claim and Optimize Your Knowledge Panel-    Google will display a knowledge panel for entities they identify. For instance, if you have a Google business profile, Wikipedia page, or extensive online presence, there is a chance Google knows about you and your brand entity.

2. Build Inbound Links from Authoritative Entity Sources  Claim your knowledge panel and ensure all the information is correct. The links from Wikipedia, industry directories, news sites, and government databases indicate that Google knows about your entity. You can improve your presence by getting listed in relevant directories.

3. Implement Comprehensive Organization Schema  Mark Up Your Website With Organization Schema Use the Organization schema to specify your name, logo, founding date, founders, headquarters, social networks, and contact details.

4. Create Content That Reinforces Entity Identity Write content that describes, explains, and consistently reinforces your organization. Founders’ bios, mission statements, and histories are good examples of such content.

5. Establish Relationships with Other Entities Mention and link to other real organizations in your content. If you run a SaaS company, you can mention the software and programming languages you use. If you have partnerships with other organizations, mention them too. The more connections you have, the better your entity graph will be

Why This Matters for Indian Agencies

Most agencies in India are still teaching SEO as keyword optimization. 

• They are fixated on keyword optimization including keyword density, placement, anchor text, keyword-based content silos etc. 
• These are becoming irrelevant.

Agencies worldwide and within India which are succeeding today have moved on to newer techniques including entities, semantic relevance, knowledge graph, structured data, authority building etc. 

• This is an area where Indian agencies can leapfrog their competitors and gain immense advantage. 
• It may take time for your competitors to realize this.

Practical Action Plan

For your next client project:

• Identify the core entities Target your entities (not only keywords) 
• Implement Organization and Product schema boost your Google Business Profile by using the JSON-LD markup of your website.
• Claim and optimize your Knowledge Panel Create a content graph for entities
• Map entity relationships Write content about entities, answering the questions: “what is this entity?”
• Optimize for entity-based queries - “how is this entity related to that entity?”
• Build entity authority –  Get mentioned in relevant resources, directories, and entity database

The Future Is Entities

Google's recent advancements in AI ( LLMS ) only continue to fuel the fire towards entity-based search. Google's LLMs don't think in keywords, they think in concepts/entities.

With generative AI search, AI powered overviews, and future search formats, entity understanding will rule the roost.

SEO agencies and brands that make the switch to entity-based SEO now will dominate search in the coming years. Those who ignore this trend will be left behind.

The future of search is entities. And the future is now.

Ready to future-proof your SEO strategy? 

Pansofic Solutions   helps Indian brands and agencies make the switch from keyword heavy SEO to entity-based SEO. 

Let's build your entity authority!