When Google RankBrain was introduced in October 2015, all we knew was that an artificial intelligence (AI) would learn from search queries and their engagement rate to fit future search queries in a more suitable way.
Nowadays, we know that optimizing for RankBrain is the third most important ranking signal. However, RankBrain itself is not a typical ranking signal when compared to content or backlinks.
Contents:
- How does RankBrain work?
- How can RankBrain update the algorithm?
- RankBrain understands keywords
- Keyword research tactics for RankBrain
CONTENT SOURCE: Mangools Blog
How does RankBrain work?
The machine learning algorithm works something like this:
- It’s not based on the hand-coded algorithm used in the past by Google developers and testers.
- By tracking user’s engagement from searches and learning from it, RankBrain adjusts the algorithm.
- If the updated algorithm leads to results with higher engagement, it’s implemented for future search queries.
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