A recent study by Ahrefs found that over 90% of pages get zero traffic from Google, and only 0.21% of pages ranked in the top 10 results for at least one keyword. This highlights the intense competition for online visibility and the need for effective SEO strategies. In this evolving landscape, understanding and leveraging entities has become crucial for achieving higher search rankings and driving organic traffic.
TL;DR: What is an entity?
An entity is simply anything that can be uniquely identified. It can be a person, place, organization, product, concept, or event. Think of it as a distinct "thing" in the real world or the digital realm.

Differences between entities and keywords
While keywords are still important, they are becoming less about exact-match phrases and more about understanding the user's intent. Entities play a key role in this shift. Here's a breakdown of the differences:
Feature | Keywords | Entities |
---|---|---|
Focus | Individual words or phrases | Concepts and their relationships |
Meaning | Can be ambiguous, dependent on context | Have a clear and distinct meaning |
Search | Traditional keyword-based search | Semantic search, understanding user intent |
Examples | "best running shoes" | "running shoes," "Nike," "cushioning," and "marathon training" |
Examples of entities in context
You're searching for the "best Italian restaurant near me." Keywords: "best," "Italian," "restaurant," "near me." Entities: your location (a specific place), "Italian cuisine" (a concept), and potentially particular restaurants in your area. Google uses these entities to understand your search intent and provide the most relevant results.
So what is entity-based SEO, anyway?
Entity-based SEO is an approach that focuses on helping search engines understand the entities related to your content. It involves optimizing your website and content to provide clear and comprehensive information about these entities, their attributes, and their relationships with other entities.
Why entities matter for SEO
According to a study by Moz, websites that focus on entity optimization see an average increase of 30% in organic traffic. This is because entities help search engines:
- Better understand your content: By identifying the entities in your content, search engines can more accurately grasp the topic, context, and relevance of your pages.
- Connect your content to relevant searches: Entities allow search engines to associate your content with a broader range of related searches, even if they don't contain the exact keywords.
- Deliver more relevant results to users: By understanding entities and their relationships, search engines can provide more accurate and comprehensive search results.
How entities connect to Google's Knowledge Graph
Google's Knowledge Graph is a massive database of entities and their relationships. When you search for something, Google uses the Knowledge Graph to understand the entities involved and provide more informative results.
For example, if you search for "Elon Musk," Google will show you a Knowledge Panel with information about him, his companies (Tesla, SpaceX), his role (CEO), and related entities.
By optimizing your content for entities, you increase the chances of your website being included in the Knowledge Graph and appearing in these rich results.
Entities and the concept of information gain
Information gain refers to the amount of new and relevant information a user gets from a search result. Google aims to maximize its users' information gain.
Entity-based SEO helps improve information gain by:
- Providing comprehensive information about entities: Instead of just focusing on keywords, you provide detailed information about the relevant entities, their attributes, and their relationships.
- Structuring content for clarity: Using clear headings, schema markup, and internal linking, you make it easier for search engines to understand and extract key information.
- Building topical authority: By consistently creating high-quality content around specific entities, you establish your website as a reliable source of information on that topic.
Improving SERP presence with entity optimization
Entity optimization can significantly improve your website's visibility in search results. Here are some ways it can help:
- Higher rankings: By providing relevant and comprehensive information about entities, you increase your chances of ranking higher for applicable searches.
- Featured snippets: Google often uses information from entity-rich websites to create featured snippets, which appear at the top of the search results page.
- Knowledge Panel inclusion: As mentioned earlier, optimizing for entities can increase your chances of being included in Google's Knowledge Graph and appearing in Knowledge Panels.
- Improved click-through rates: Rich results and informative snippets can attract more clicks and drive more traffic to your website.
The role of structured data and schema markup
Structured data and schema markup are essential tools for entity optimization. They help you provide explicit clues to search engines about the entities on your pages.
Schema markup is a type of code you can add to your website to help search engines understand the content on your pages. There are different schema types for other entities, such as:
- Person: Name, job title, affiliation
- Organization: Name, location, founder
- Product: Name, price, availability
- Article: Headline, author, publication date
By using schema markup, you can help search engines clearly understand the entities on your pages, which can improve their visibility in search results.
How entities work in search algorithms
Search algorithms constantly evolve to understand user intent better and deliver more relevant results. Entities play a crucial role in this process.
The role of natural language processing (NLP) and semantic search
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand and process human language. Search engines use NLP to:
- Analyze the meaning of words and phrases: NLP helps search engines understand the nuances of language, including synonyms, homonyms, and different grammatical structures.
- Identify entities and their relationships: NLP algorithms can extract entities from text and understand how they relate to each other.
- Interpret user intent: NLP can help search engines understand what users are looking for by analyzing the language used in a search query.
Semantic search goes beyond keyword matching and focuses on understanding the meaning and intent behind a search query. Entities are a key component of semantic search, as they provide a way to represent and connect concepts.
Entity relationships and contextual relevance in SERPs
Search engines use entity relationships to understand the context of a search query and deliver more relevant results.
For example, if you search for "best movies by Quentin Tarantino," Google understands the relationship between the entity "Quentin Tarantino" (a person) and the entity "movie" (a creative work). It will then show you a list of movies directed by Quentin Tarantino.
Contextual relevance is also significant. If you search for "apple" while browsing a technology website, Google is more likely to show you results related to Apple Inc. (the company) rather than the fruit.
Entity-Based SEO and machine learning
Machine learning is a type of artificial intelligence that allows computers to learn from data without being explicitly programmed. Search engines use machine learning to:
- Improve entity recognition: Machine learning algorithms can be trained to identify entities in text with increasing accuracy.
- Understand entity relationships: Machine learning can help search engines learn about new relationships between entities and refine existing knowledge.
- Personalize search results: Machine learning can personalize search results based on a user's past search history, location, and other factors.
Entity-based SEO and machine learning are closely intertwined. By providing clear and structured data about entities, you help machine learning algorithms learn and improve their understanding of your content and its relevance to different search queries.

Best practices for optimizing entities in your SEO strategy
Here's a step-by-step guide to optimizing entities for your website:
- Identify relevant entities: Identify the key entities related to your website and content. Use keyword research tools, competitor analysis, and your knowledge of your industry to create a list of relevant entities.
- Create entity-focused content: Develop high-quality content that provides comprehensive information about these entities. Use clear and concise language, and structure your content with headings and subheadings to make it easy to understand.
- Use schema markup: Implement schema markup to provide explicit clues to search engines about the entities on your pages. Choose the appropriate schema types for each entity and ensure your markup is accurate and complete.
- Build internal links: Use internal links to connect related pages on your website. This helps search engines understand the relationships between different entities and improves the overall structure of your website.
- Optimize for topical authority: Consistently create high-quality content around specific entities to establish your website as a reliable source of information on that topic.
How to avoid common mistakes in entity SEO
- Keyword stuffing: Avoid overusing keywords to manipulate search rankings. Instead, focus on providing valuable and informative content about entities.
- Ignoring entity relationships: Don't just focus on individual entities. Consider the relationships between different entities and how they connect to your topic.
- Inconsistent schema markup: Ensure your schema markup is consistent across your website. Use the same vocabulary and properties to describe entities.
- Neglecting content quality: Entity optimization is not a substitute for high-quality content. Focus on creating informative and engaging content that provides value to your audience.
The Future of SEO is Entity-Centric: Additional things you need to know
1. Integrating entities into content strategy and on-page SEO is crucial.
Entity optimization should be an integral part of your overall content strategy. When creating new content, consider the relevant entities and how to provide comprehensive information about them.
2. Consider when to use an entity-based vs. a keyword-based approach.
While entity-based SEO is becoming increasingly important, keywords are still relevant. Consider the user's search intent and choose the best approach for their needs.
3. Understanding entity relationships in your topic areas is essential.
Understanding the relationships between different entities is crucial for creating comprehensive and informative content. Use tools like Google's Knowledge Graph and competitor analysis to understand entity relationships in your industry better.
4. Track metrics and measure results.
Monitor your website's performance in search results and track key metrics like organic traffic, rankings, and click-through rates. Analyze the data to identify areas for improvement and refine your entity optimization strategy.
Actionable Takeaways:
- Start by identifying the key entities related to your website and content.
- Create high-quality, entity-focused content that provides comprehensive information.
- Use schema markup to help search engines understand the entities on your pages.
- Build internal links to connect related pages and improve website structure.
- Focus on building topical authority by consistently creating valuable content.
- Monitor your website's performance and track key metrics to measure your entity's optimization efforts' success.
By following these best practices and staying ahead of the curve, you can leverage the power of entities to improve your website's visibility, attract more organic traffic, and achieve your SEO goals.