The RankBrain algorithm is one of Google’s algorithms that works based on artificial intelligence. The purpose of this algorithm is to discover the user’s desired concept and display the search results in an optimized form. This algorithm optimizes results based on user behavior. The Hummingbird algorithm was applied in 2013 with the same idea. Early Google algorithms such as Panda, Hummingbird, and Penguin worked mostly on keywords and their relationship with the searched term. Therefore, most webmasters tried to increase their ranking in search results by repeating keywords on pages. This caused dissatisfaction among users. Therefore, Google discovers the user’s desired concept with the Rank Brain algorithm and displays pages corresponding to this concept. In the following, we will learn more about this algorithm and its working method.

Getting to know the RankBrain algorithm

The RankBrain algorithm was introduced in 2015 to complement the performance of the Hummingbird algorithm. This algorithm is designed based on artificial intelligence and machine learning algorithms. In machine learning, a computer automatically learns how to do something and does not need to be taught by a human or given a detailed program. The Google search engine is constantly testing and learning with the help of this algorithm. It can analyze user behavior and display relevant search results for them.

How the RankBrain algorithm works

Before the appearance of the RankBrain algorithm, Google determined the position of the search results with a fixed mathematical algorithm. The working process of this algorithm was always constant. But Rank Brain is constantly changing due to its machine learning capabilities, and therefore the search results are most similar to the user’s desired concept. This algorithm can recognize new patterns well due to learning. This algorithm is in third place in terms of its impact on the ranking of sites, determining the results, and responding to the user.
When the RankBrain algorithm sees a new word, it guesses about it and interprets it. It pays attention to the user’s search history, location, and past interests and ranks the first-page search results based on these factors. After the search results are displayed to the user, the algorithm checks the level of user satisfaction. The user’s choices and the duration of his presence on each site are checked by the algorithm. Google goes through this process for thousands of users every day and changes the ranking of sites accordingly.

Rank brain algorithm is one of the most important algorithms of Google.

Important Factors for Rank Brain Algorithm

The RankBrain algorithm gives importance to the factors that are effective in the site’s SEO. You must be familiar with these factors to get a high rank.

The first important factor is to have valuable content from the user’s point of view, which answers the user’s questions. The amount of content is not a criterion, but the content should be goal-oriented and meet the user’s needs. The more the audience is affected by the content and the longer they stay on the site, the more effective it is in the ranking of the site.

 The second factor is checking the factors affecting user satisfaction before entering the site. Google gives points to things like page loading speed, site responsiveness, correct and standard coding, and good design that makes users satisfied.

The third factor is the CTR rate of a site. The number of clicks on a result when divided by the total number of searches determines the CTR factor, which is effective in ranking the site.

The fourth factor is the time the user stays on the page. The more time a user spends on a site, the higher the SEO ranking.

The fifth factor, which is important in terms of the RankBrain algorithm, is to periodically check the level of user satisfaction. In this invoice, the number of shares, the number of external links, comments, and user ratings are checked. High user interaction results in better ranking in search results.

The sixth factor is the type of link building. As much as a specific anchor text is linked to a page and conceptualism is observed, the site will gain a better position in the search results. For this purpose, webmasters try to focus on long keywords and link building. With this, they can also rank on single words.

The seventh factor is to write simple and understandable content for the audience. Having a good title, long texts, having alt for images, numbering, using H1 to H6 tags, having appropriate subheadings, etc. are all scored by the algorithm.

Effects of the RankBrain Algorithm on the search page

  • The first effect of the RankBrain algorithm is to create a zero-rank feature. When the user enters a question in the Google search box, a box appears on the results page that explains the answer to the question step by step. This site is eligible for this rating due to its accurate content and high credibility.
  • The second interesting effect of the RankBrain algorithm are the People Also Search feature. When the user enters one of the results pages and returns to the main Google search page after a while. A box containing related offers will be displayed to him. This section is filled by the Rankbrain algorithm. Google has recognized that the user did not get the necessary result from the visited page, so it offers him these more accurate options.
  • The third one is to display the People Also Ask box for the user. When a user searches for a question, Google displays a box containing the question and short answers, and a link to get more information. This box is also completed by the Rank Brain algorithm.

the conclusion

The BERT algorithm is the completed version of the RankBrain algorithm that was released in 2019. This algorithm also optimizes search results with the help of artificial intelligence and machine learning. With the help of these types of algorithms, Google displays results related to the user’s needs.