Google has recently incorporated the BERT technology in the search engine results in its latest algorithm update. BERT, which is brief for Bidirectional Encoder Representations from Transformers, is one of the most crucial developments in the field of machine learning. The new Google BERT update has brought significant changes to the search engine’s algorithm. BERT is a pre-language training representation. This technology brings forward bidirectional training of language prototypes, which results in a profound sense of language context and flow. Implementation of the new Google BERT update has changed and improved the way Google results show in search inquiries. The implementation of the BERT technology has resulted in more correct results that, too, in less time. Google had already hinted about incorporating the recent BERT technology back in 2018 when they talked about updates in the search engine algorithm. Now that the update is live globally, it has improved the productivity of the search engine. The new Google BERT update works best with searches that include full sentences. Therefore, Google is encouraging people to use full sentences with proper grammar for searches instead of using the illogical sequence of keywords. Google has always been one to encourage conversational queries, and the new update is one of the measures to promote that. Using fuller sentences for search inquiries will not only bring changes in the SEO field but also will encourage conversational queries alongside optimizing the functioning of the search engine. This Google BERT update brings changes that can be a bit troublesome for the SEO experts and can take a while for the users to get used to, but given the significant improvements in the search results, it is worth it.
Why one should care about BERT update?
This update was particularly important for Google because it receives about seventy thousand search inquiries per second, which roughly adds up to about 5.8 billion searches per day. This is why Google brought forward this new update. This update increases the search potential and also enhances the search engine’s capability to produce search outcomes that provide focused and appropriate content to its users. Google itself mentioned the purpose behind introducing the major update. It said that the new Google BERT update would allow better language understanding and will result in natural and conversational queries since BERT improves the understanding of nuances and context of words in search inquiries and efficiently matches the inquiries with search results. The new technology helps Google to understand the natural language from the web since BERT handles tasks like part of speech tagging, entity recognition, and question-answering, among other natural language processes. The BERT technology helps a machine in understanding what words mean in a sentence but with all the tones of context. It cannot be said that Google lacked this feature in all its entirety as a search engine, but it also cannot be denied that this technology was needed by Google because the impact of the new update has been evidently successful for the search engine.
What changes can be done for this BERT algorithm?
The new BERT update improves Google’s understanding of search inquiries. One thing about BERT is that it analyzes search queries and not web pages. This will affect the SEO industry since on-page SEO becomes more important when it comes to using some words in a precise manner. So, sloppy content would not be supported by the new search engine update. The new update will encourage web pages to write content that is user-centric instead of promotional. Web pages will require to identify the right users’ intent and then build their content around it in order to be identified by the BERT technology and for a better ranking.