Google BERT is an acronym for ‘Bi-Directional Encoder Representation from Transformers.’ It is one of the most extensive and comprehensive algorithm updates by Google which transformed the way a user performs a search on the internet. The latest update is based on the performance of long-tail organic search queries, and their impact on the search ranking, traffic, revenue, and conversion ROI.
With BERT, Google seeks to make search results better in today’s fast-paced world. It is a known fact that Google receives more than 63,000 searches per second on a daily basis. This means that more and more users are relying on the search engine giant to get their day to day tasks done.
Therefore, Google BERT will make the search engine more receptive towards user’s query. This is done by promoting the natural and conversational language a computer can understand and interpret in a human-friendly readable format.
With a better understanding of user search intent, businesses get to benefit from the higher search ranking position with more traffic and revenue. The use of long-tail search keywords allows the machine learning algorithm to understand the complete context of sentences with the next and previous written words. The search bots can interpret the complete sentences along with prepositions like “For” and “To”. These prepositions are added up to make a huge difference in the search ranking and show the exact results to the visitors.