BERT is an acronym for Bidirectional Encoder Representations from Transformers. This was a Google algorithmic enhancement that significantly improved the search engine’s capabilities in natural language processing (NLP) and natural language generation (NLG).
Google publicly announced the BERT update in 2019, characterizing it as its most important algorithm change in half a decade. Ultimately, this adjustment impacted approximately ten percent of all search queries.
The BERT update resulted in more valuable search results for users due to its increased ability to understand natural language structure. It specifically enabled Google to account for prepositions when analyzing the context and meaning of a search query. Furthermore, when users search using a conversational style, the search engine can now grasp this linguistic nuance and deliver more accurate matches for the queries.
In summary, the BERT update refined Google’s algorithm to the extent that it can comprehend the context of words within an entire sentence. However, this development does not imply that websites must now shift their focus to exclusively utilizing long-tail keywords.