Definition:
Rankbrain is an artificial intelligence (AI) system developed by Google to improve its search results. It uses machine learning techniques to rank search results based on how users interact with them. Rankbrain examines the relationship between the various words and phrases used in a query and then ranks the most relevant results at the top of the search engine results page.
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How Rankbrain works
RankBrain uses machine learning to understand the meaning of searches and improve the accuracy of search results. It uses a mathematical model called a “neural network” to continuously learn and improve over time. RankBrain is especially useful for processing searches that don’t have an exact match in Google’s search index. For example, if someone performs a search with a phrase that has not been used before, RankBrain can use machine learning to understand the meaning of the search and deliver relevant results.
Origin of rankbrain
Below are some important milestones and dates in the development and evolution of RankBrain:
- October 2015: RankBrain officially launches and becomes an important part of how Google processes and delivers search results.
- May 2016: Google confirms that RankBrain is the third most important factor in ranking search results, after links and content.
- July 2016: Google confirms that RankBrain is used in processing almost 15% of all searches performed on the search engine.
- October 2016: Google announces that it has improved the accuracy of search results using RankBrain in combination with other search engine optimization algorithms and techniques.
- May 2017: Google confirms that RankBrain is still an important part of how it processes and delivers search results and continues to improve the accuracy of results.
- December 2017: Google announces that it has further improved the accuracy of search results using RankBrain in combination with other search engine optimization algorithms and techniques.
- June 2018: Google confirms that RankBrain is still an important part of how it processes and delivers search results and continues to improve the accuracy of results.
- December 2018: Google announces that it has further improved the accuracy of search results using RankBrain in combination with other search engine optimization algorithms and techniques.
Frequently asked questions about Rankbrain
What does Rankbrain mean in digital marketing?
Rankbrain refers to the concept described in this glossary entry: Definition: Rankbrain is an artificial intelligence (AI) system developed by Google to improve its search results. Rankbrain examines the relationship between the various words and phrases used in a query and then ranks the most relevant results at the top of the search engine results page. It gives teams a shared vocabulary for analysing digital projects.
When should teams pay attention to Rankbrain?
Teams should review Rankbrain when it affects acquisition, measurement, user experience, content, automation or campaign performance. The important step is to connect the definition with a real decision.
How is Rankbrain used in a digital strategy?
Rankbrain is used by translating the concept into practical checks: where it appears in the funnel, which data or channel is involved and whether it needs optimisation, monitoring or documentation.
What is a common mistake when interpreting Rankbrain?
A common mistake is using Rankbrain too broadly. It is better to verify the context, the tool or the metric involved before making strategic or technical conclusions.