In fall 2019, Google introduced a new update for Bidirectional Encoder Representations from Transformers. The update is commonly known as the BERT update and affects the way Google’s algorithm understands natural language processing.
More specifically the update allows Google to better comprehend the context of what a person is searching for. It aims to understand the nuances of our everyday language.
Thanks to Google’s self-learning, the algorithm can better understand complex phrases and different word usages.
For example, a word like ‘stand’ could mean different things to different people. It could represent going to a food stand, taking a stand, or standing up. All use the same word but have different meanings that Google can now understand.
This ability is useful for people when searching for different items that have similar names or labels (e.g. looking for a bank account versus a holiday near a riverbank). Thanks to the BERT update Google can now understand the correct intent.
Although the update only rolled out a few months ago, it now affects about 10% of all search queries.
In this video, I’ll be going over ways that the Google BERT update will dramatically impact your SEO and content strategies.
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