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Google once again improved the way we search, and it's for the better. How did the latest update affect SEO companies in Indonesia? Read more about the BERT update here.
Panduan ini menjelaskan konteks praktis untuk keputusan bisnis di Indonesia, tanpa janji peringkat, trafik, atau hasil dalam waktu tetap.
Bert Algorithm: What Does It Do?
In November 2019, every SEO company, not only in Indonesia but also around the world, welcomed Google’s new update that goes by the name of “BERT”—and no, it’s not the character from Sesame Street .
The BERT update is Google’s most significant change in recent years. It stands for “Bidirectional Encoder Representations from Transformers”, and its goal is to comprehend more complex search queries. In short, it’s an algorithm that can uncomplicate the “complicated” search engine results.
A Game-changer For Search Engine Optimization
According to Google, the BERT algorithm consists of improvements that are “oriented around improving language understanding”. It’s similar to how a robot learns how to understand the basics of human language. Google’s search engine is that robot, and with the BERT update, you’ll have an easier time searching for more complex queries, almost like you’re asking a human.
Imagine searching on Google, only to get results that don't make sense. You’ll probably be frustrated, and it's understandable! Fortunately, Google’s latest update aims to reward your patience with accurate search results. You can say goodbye to inaccurate or weak search results on Google.
Improving Your SEO Content
Take a look at this example from Google itself:
Notice the difference between the two results. Before Google’s update, the result is a bit far from what the user had in mind. However, thanks to the BERT algorithm, you can input the same query and expect more accurate results—it’s that simple!
The Solution: Creating Quality Content
While the latest algorithm benefits users, what does that mean for businesses?
Google’s game-changing update is a massive improvement compared to previous changes. It affects around 10% of search queries , which is a significant advancement, despite the seemingly small number.
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