What does semantic search mean for SEO?

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RankBrain and BERT
Since 2015, it has been part of the core RankBrain algorithm , which is used to improve the relevance of search results and tries to detect intent in ambiguous search queries. RankBrain is constantly learning, analyzing search results and looking for similarities between pages that users find valuable. As a result, RankBrain can consider a page to be a "good answer" to a search query even if it does not contain the exact form of the words from the search query.

Read the article " A new era of artificial intelligence: the RankBrain algorithm ".

In 2019, Google added the BERT tajikistan email list algorithm , which aims to better understand search queries and content on a page. It suggested that marketers work more with long-tail queries of more than three words and ensure that content answers users' questions.

Semantic search has evolved largely due to the rise of voice search. Optimizing for voice search is very different from traditional SEO because you need to get straight to the point and keep your tone conversational. So create content that clearly and concisely answers a common query at the top of the page before diving into a detailed description.