How BERT Affects SEO and How You Can Optimize For It
- 4 years ago
Google’s roll-out of BERT caused a massive buzz in the whole SEO industry since they deemed it as “the most important update in five years”. This particular update, called BERT, officially impacts 10% of search queries. That’s already a massive number since there are millions of searches made every single day. So, what exactly is the BERT update, how will it affect the SEO landscape, and how can we, as webmasters and SEOs, better optimize our websites for this algorithm update?
What is BERT?
Bert stands for Bidirectional Encoder Representations from Transformers. It is a neural network-based technique for Natural Language Processing (NLP) that was open-sourced by Google last year.
The Google BERT Update
BERT isn’t necessarily an update to Google’s current algorithms but it is a technique to improve NLP. It allows Google to process words in search queries in relation to all the other words contained in the query – unlike the word per word process that Google has been using before.
Through this process, Google can, therefore, hopefully, understand the whole context of a word contained in the search query. This means that Google’s application of the BERT model enables them to do a better job of assisting users in finding useful information. The primary target for the BERT model are “longer, more conversational queries” where words like “for” and “to” greatly affect the meaning of the query – in my understanding, these are, more often than not, long-tail keywords.
BERT is currently affecting 10% of searches in the U.S. and it’s currently only applicable to the featured snippets in other languages.
Here’s an example that Google used to highlight the effect of the BERT model:
Google Example of Applied BERT Model
How You Can Optimize for BERT
According to Google, optimizing for BERT is impossible since there is “nothing to optimize”. It’s a direct echo to their statement during the release of RankBrain. However, SEOs always have ways of understanding an algorithm update in a creative and unique way that allows us to come up with strategies that will help our site navigate through Google’s ever-changing algorithms. With that said, here are some (simple) strategies that can help you with the recent BERT update.
Simpler and Succinct Content
I’ve mentioned in a past blog post that word count isn’t as important as you might think it is and that’s directly related to writing for answering a user’s query. Google has always reminded webmasters that we should write for the users – not the search engines. Of course, there are still some webmasters that put the “technicality” of their content as the most important aspect. If you’re one of the webmasters that still focus on keyword density, keyword placement, etc. inside your content while not giving importance to the quality and “naturalness” of your content, you might be losing out on Google’s recent algorithm updates.
What is BERT?
Bert stands for Bidirectional Encoder Representations from Transformers. It is a neural network-based technique for Natural Language Processing (NLP) that was open-sourced by Google last year.
The Google BERT Update
BERT isn’t necessarily an update to Google’s current algorithms but it is a technique to improve NLP. It allows Google to process words in search queries in relation to all the other words contained in the query – unlike the word per word process that Google has been using before.
Through this process, Google can, therefore, hopefully, understand the whole context of a word contained in the search query. This means that Google’s application of the BERT model enables them to do a better job of assisting users in finding useful information. The primary target for the BERT model are “longer, more conversational queries” where words like “for” and “to” greatly affect the meaning of the query – in my understanding, these are, more often than not, long-tail keywords.
BERT is currently affecting 10% of searches in the U.S. and it’s currently only applicable to the featured snippets in other languages.
Here’s an example that Google used to highlight the effect of the BERT model:
Google Example of Applied BERT Model
How You Can Optimize for BERT
According to Google, optimizing for BERT is impossible since there is “nothing to optimize”. It’s a direct echo to their statement during the release of RankBrain. However, SEOs always have ways of understanding an algorithm update in a creative and unique way that allows us to come up with strategies that will help our site navigate through Google’s ever-changing algorithms. With that said, here are some (simple) strategies that can help you with the recent BERT update.
Simpler and Succinct Content
I’ve mentioned in a past blog post that word count isn’t as important as you might think it is and that’s directly related to writing for answering a user’s query. Google has always reminded webmasters that we should write for the users – not the search engines. Of course, there are still some webmasters that put the “technicality” of their content as the most important aspect. If you’re one of the webmasters that still focus on keyword density, keyword placement, etc. inside your content while not giving importance to the quality and “naturalness” of your content, you might be losing out on Google’s recent algorithm updates.