BERT - How To Discuss

BERT

BERT, introduced by Google in 2018, is an enhanced way for search engines to better understand crawler language based on context to provide better results.

What does BERT mean?

BERT stands for Bidirectional Encoder Representations of Transformers.

BERT is used as part of the Google search algorithm introduced in 2019 to understand what people really mean when they search. Essentially, it's an update that helps Google understand context when you search.

Best advice

There is really nothing you can do to optimize BERT. This just makes the SERP more relevant to search, and your content's search relevance should already be set up when you're working on SEO!

7 things you should know about BERT

1. BERT is a neural network-based technique used for natural language processing. Basically what this means is that BERT learns how people talk (or at least how they search) and uses that information to improve search results.
2. According to Google, BERT has changed the displayed results of about 1 in 10 searches, making them much more accurate.
3. While BERT has had a huge impact on search, it can't do much from an SEO standpoint as it just helps Google better understand what people are searching for.
4. BERT is one of hundreds of classification signals. While this is important, it is by no means the only information about how web pages rank in Google searches.
5. BERT stands for Bidirectional Encoder Representations from Transformers (although this certainly won't help you understand why it's important or what it does!)
6. Launched in October 2019, BERT was the biggest change to Google's search algorithm since RankBrain.
7. If BERT hurts your search ranking, chances are you'll be ranked the wrong way anyway!

BERT, short for Transformer Bidirectional Encoder Representations, is the biggest update Google has released since the launch of RankBrain. Google says BERT will affect 1 in 10 searches and that it will only be the neural network-based natural language processing method. In a nutshell, Google is trying to improve the way its systems interpret our searches to give us better results. This is the biggest attempt since the launch of RankBrain to prevent the user from typing the perfect phrase and entering it into a search engine to get the correct results. With the introduction of BERT, more and more users will find that their results are more accurate and that Google can better understand the nuance and context of searches. A hit on 10% of all searches doesn't sound like much, but that's because that number is only going to increase in the future. Very soon, BERT will likely affect all searches on Google, and unfortunately SEO can do little in the way of optimization. In a way this is a good thing, websites and those who want to rank high can now focus on delivering real value to their target audience instead of worrying too much about keywords.

BERT is a powerful new generation of AI that can better understand speech. BERT stands for Bidirectional Encoder Representations of Transformers and is a neural network designed to accurately process speech by learning different ways of combining words.

Acronym for Transformers Bidirectional Encoder Views. It is a natural language processing technique (NLP) used by Google Search since October 2019.