Every year, Google updates its search algorithms 500 to 600 times. Right, that’s absurd.
One such Google update was RankBrain, which debuted in 2015. But why should it matter to you?
The way Google search functions has been completely transformed by RankBrain. In response to each search query, it offers more pertinent results. No more worthless and irrelevant outcomes, then. What does that imply for you, though?
Your organic traffic can increase if you understand how to use RankBrain. Thus, there will be more conversions. Do not pass up this opportunity.
You will learn everything there is to know about Google RankBrain from this blog post. Additionally, you will receive some excellent advice on how to optimize your content for RankBrain.
Let’s get started without saying more.
How does Google RankBrain work?
A machine learning algorithm called Google RankBrain aids Google in better comprehending the user intent underlying a search query. For any search query, it strives to deliver the best and most pertinent results.
When determining the meaning of a search query, RankBrain replaced Google’s previous method of scanning searchers’ characters and just relying on what they said. For instance, if you type “machine learning” into Google, the definition of the phrase will appear in the search results. It would have displayed any websites that have crammed the term “machine learning” into their content before RankBrain.
The evolution of Google RankBrain
Google introduced RankBrain in the spring of 2015, but the most recent upgrade wasn’t made public until October 26 of the same year.
At first, RankBrain was used to account for queries that Google has never seen before. In terms of search inquiries, that represented 15%. The RankBrain that we use today was later expanded to accommodate all search queries.
Why did Google introduce RankBrain?
Google’s algorithm was hand-coded before the release of RankBrain. A new update would be tested to see how it performed by Google engineers. If it worked well, they made it a permanent change.
The entire procedure was labor-intensive and laborious. Additionally, it wasn’t consistently delivering relevant and accurate search results.
To include artificial intelligence and machine learning into the Google Algorithm, Google established RankBrain. Now that RankBrain comprehends the human intent underlying a keyword, it can present pertinent results.
Additionally, it automatically modifies the algorithm in response to how satisfied customers are with their search results. Users either keep the update or discard it in favor of a fresh one depending on whether they are happy with the outcomes.
Important RankBrain updates
Soon after its inception, Google RankBrain began showing users more contextual search results. Websites had to exercise greater caution and offer viewers pertinent content as a result. The functioning of Search Engine Optimization (SEO) was significantly altered by RankBrain.
In 2019, Google added yet another significant upgrade to support RankBrain. Bidirectional Encoder Representations from Transformer is the name of it (BERT). Google’s natural language processing now understands search intent better thanks to this change.
The BERT upgrade aids the search engine’s comprehension of phrase subtlety. Google thus promotes well-written material that considers the needs of the reader.
