{"id":45044,"date":"2022-11-23T21:39:40","date_gmt":"2022-11-23T21:39:40","guid":{"rendered":"https:\/\/www.arimetrics.com\/glosario-digital\/rankbrain"},"modified":"2026-06-26T19:22:17","modified_gmt":"2026-06-26T19:22:17","slug":"rankbrain","status":"publish","type":"encyclopedia","link":"https:\/\/www.arimetrics.com\/en\/digital-glossary\/rankbrain","title":{"rendered":"Rankbrain"},"content":{"rendered":"

\"rankbrain\"Definition:<\/strong><\/p>\n

Rankbrain<\/strong> is an artificial intelligence (AI)<\/a> 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.<\/p>\n\n

How Rankbrain works<\/h2>\n

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.<\/p>\n

Origin of rankbrain<\/h2>\n

Below are some important milestones and dates in the development and evolution of RankBrain:<\/p>\n

    \n
  • October 2015: RankBrain officially launches and becomes an important part of how Google processes and delivers search results.<\/li>\n
  • May 2016: Google confirms that RankBrain is the third most important factor in ranking search results, after links and content.<\/li>\n
  • July 2016: Google confirms that RankBrain is used in processing almost 15% of all searches performed on the search engine.<\/li>\n
  • 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.<\/li>\n
  • 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.<\/li>\n
  • 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.<\/li>\n
  • 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.<\/li>\n
  • 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.<\/li>\n<\/ul>\n

    Frequently asked questions about Rankbrain<\/h2>\n
    \n
    \nWhat is Rankbrain?<\/summary>\n

    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. In the Arimetrics glossary it is placed in a digital marketing context to clarify its role, uses and practical implications.<\/p>\n<\/details>\n

    \nWhat is Rankbrain used for in digital marketing?<\/summary>\n

    It is used to better analyse an action, tool, channel or behaviour related to acquisition, measurement, communication, sales or user experience. Its value depends on applying it to a concrete decision.<\/p>\n<\/details>\n

    \nHow is Rankbrain related to a digital strategy?<\/summary>\n

    It is related to digital strategy when it affects objectives, data, content, technology, campaigns or conversion processes. That is why it should be reviewed together with the business context, not as an isolated term.<\/p>\n<\/details>\n

    \nWhat should be considered when working with Rankbrain?<\/summary>\n

    It is advisable to review its definition, context, associated metrics, limitations and possible risks. It is also useful to validate whether the concept has a real impact on performance, user experience or decision-making.<\/p>\n<\/details>\n<\/div>\n