Google BERT Algorithm Update: What Is It?

In October, Google released its newest and largest algorithm update since RankBrain – BERT. So, what exactly is BERT and does it matter to your SEO?

BERT – Bidirectional Encoder Representations from Transformers – is a neural network-based technique for natural language processing and has the ability to better understand the full context of your query by looking at all of the words in your search. Google built new software and hardware to make this update happen to better serve your search results and delve deeper into the relevant information you’re seeking.

Google said, “With the latest advancements from our research team in the science of language understanding–made possible by machine learning–we’re making a significant improvement to how we understand queries, representing the biggest leap forward in the past five years, and one of the biggest leaps forward in the history of Search.”

Google BERT update: what is it? - brightedge

The search giant understood that through the billions of searches they received every day, people were searching for queries they wouldn’t normally ask for; say – in a day-to-day conversation. Rather, people were gearing their questions to what they thought Google would understand best. With BERT, you now have the ability to search in a way that feels natural to you instead of searching in a way you think Google, or a robot, will understand best.

For conversational queries and long-tail keywords, where prepositions like “for” and “to” are influential words, Google – or rather, BERT – will be able to understand the context of the words in your search. BERT models have the ability to perceive that a word as simple as “to” matters a great deal.

Google systems were previously matching search terms with keywords found on a page but BERT models understand words in different use cases. For example, Google tested and tested before releasing BERT and discovered searching “do estheticians stand a lot at work” matched to a page with “stand-alone” in the copy, simply because the word “stand” was present. The SERP wasn’t relevant to the query. BERT now recognizes “stand” was being used in a different context.

So, does the Google BERT update impact your SEO? You shouldn’t have seen too much of a shift in SEO changes while BERT rolled out like you would have in previous Google algorithm updates. Danny Sullivan of Google has said not to optimize for BERT. Continue creating content and optimizing for people and their natural queries.

BERT models are applied to rank and will impact featured snippets. Google says, “BERT will help Search better understand one in 10 searches in the U.S. in English, and we’ll bring this to more languages and locales over times.”