Semantic search or Semantic SEO is a system used by search engines to understand language; that is, language as close to the one that humans naturally speak. This is done using context, search intent, and the relationships formed between words.
Factors Related to Semantic Search:The search intent-
The search intent refers to why someone enters a query in the search box. The intent could be to find, buy, or learn something. Search engines are trying to optimize intent to provide more relevant results to the user.Featured snippets and rich results-
Google introduced the Knowledge Graph in 2012 to prioritize context and entities over keywords. It collects a massive amount of information from the public domain and uses semantic searches to decipher meaning.
In an update by Google in 2013, Hummingbird enables the search engine to match Web pages with queries based on the meaning of the page rather than relying on matching keywords. This means that only Web pages that actually provide answers to the query will show up as results.
This is a machine learning version of Hummingbird and was designed to solve Latent Semantic Indexing or LSI keywords. It performs the same function as Hummingbird, along with learning and analyzing search results.