Archives December 2022

Entity-based SEO is a method used by search engines to deliver the most relevant and accurate results to users by understanding the context and intent behind their searches. While machines can process phrases literally, they may not always grasp the nuances of language that humans do.

Its important to note that knowledge graphs and semantic quality are key concepts for semantic-based SEO because they help search engines understand the relationships between different entities and the meaning and context of a website's content. This can lead to improved search rankings, more accurate and useful search results, and a better search experience for users.

In this case study, I am going to demonstrate how entity-based SEO takes into account the relationships between entities and the context in which they are used to provide more meaningful search results.

This semantic SEO study is going to cover the followings:

• What is an entity?
• What is entity based SEO?
• What is the difference between SEO and entity-based SEO?
• What are entity types?
• Can an entity have more than one type?
• What are entity properties?
• Do I have to mark up all entities on the page?
• What are the important properties needed for interlinking in entity based SEO?
• How do you optimize your content for semantic SEO?
• What are semantic schema markups?
• Case Study: Semantic SEO Improves Search Engine Rankings and User Experience