Welcome to the future of Google search.
Google now uses AI in the form of natural language processing to make search even more semantic and context-based.
This form of search uses information retrieval in which both the contextual meaning and the intent of a query are taken into consideration and in turn this influences a website's E-A-T.
It's expertise, authoritativeness, and trustworthiness.
Google has improved it's language understanding capabilities over the years, but still struggles with complex or conversational queries and that’s one of the reasons why people often use “keyword-based,” queries, typing strings of words instead of proper vocabulary.
This because we think it's easier for Google to process or understand, but this isn't how we would naturally ask a question.
Natural language processing, or NLP, makes it possible to understand the meaning of words, sentences and text and one part of NLP (natural language understanding or NLU) allows semantic interpretation of text and natural language.
Therefore this now means Google can identify entities in search queries - hence, the meaning and search intent becomes clearer. The individual words of a search term no longer stand alone but are considered in the context of the entire search query.
In the future, more and more entity-based Google search results will replace the classic phrase-based indexing and ranking and if you specialise in SEO then you need to understand about this switch to entity-based search because this is the future of Google search.
How Google uses NLP to better understand search queries, content Learn the role that natural language processing plays in making Google search even more semantic and context-based.