What is Google RankBrain Algorithm?
If we are going to name three very important factors of Google that are very influential in Google’s ranking system, we should mention the RankBrain algorithm. It is one of the most effective factors and algorithms of Google. Google’s RankBrain algorithm is based on artificial intelligence technology and uses a machine-learning system. This system is designed to grow, learn, understand, and expand this understanding over time.
After the ranking algorithm was implemented, users saw that the results of the Google page were closer to the audience’s search. This means that the system learns different patterns of audience search, understands their interests, and shows them the best results. Interestingly, this algorithm is so innovative that it also analyzes each user’s feedback on the pages. If you want to know more about this algorithm to increase your site’s performance on the results page, read more about the most essential algorithms in the Google Algorithms article.
What is the Google RankBrain Algorithm?
One of the most critical factors in Google’s ranking is the ranking algorithm used before designing the RankBrain algorithm. One of the most important factors for Google ranking was the presence of the target keyword on that page. That way, you can signal the phrase you want to Google. Ranking is done by simply repeating the keyword in different content sections. However, the continuation of this process caused low-quality and low-value content to be produced. Web admins only thought about having a keyword on that page. And only observed the existence of that word on the page.
This led to a sharp decline in user satisfaction. It was here that Google was forced to design an algorithm called RankBrain. Instead of paying attention to the keyword, this algorithm focuses on the meaning of the keyword. The RankBrain algorithm is a new technology based on artificial intelligence that uses a machine learning system, like a child, to learn new things every day, reach a higher and deeper understanding, and become smarter.
What were Google’s reasons for designing the RankBrain algorithm?
Before the RankBrain algorithm, Google used mathematical algorithms in the ranking system. But these algorithms were designed based on mathematics. They did not understand the concepts and usually showed consistent results, regardless of whether the content was updated. Also, worthlessness, duplicates, and content full of keywords increased daily.
As a result, Google decided to design its color algorithm. In this way, only content that is useful to users and worth ranking is displayed to users and gets a better ranking.
What factors does Google’s ranking algorithm examine?
According to Google, the ranking algorithm responds to 15% of all user searches and is one of the most critical signals determining the site’s ranking. Google’s ranking algorithm is currently the third most influential factor in determining results and responding to users’ search queries and site rankings. This algorithm pays attention to two essential things to understand the needs of users and display the best results to them:
1- Recognize the key concept based on the searched phrase or keyword
The ranking intelligence of the RankBrain algorithm pays attention to the words in the user’s search and interprets them semantically. It then ranks the search results for display on the first page of Google by examining the user’s search history, past interests, previously visited sites, the user’s geographical area, and other relevant factors. Could you give it to him?
2- Examining users’ behavior after displaying search results
The ranking algorithm examines user behavior and page rank when a Google search is performed. During this review process, the keyword or phrase searched, the user profile, and Google save the results displayed. The websites the user has visited are selected, and the duration of the user’s presence on each page is checked.
Considering all these factors, user satisfaction with these pages is finally measured. The user behavior on the Google results page helps the algorithm better understand the user’s concept and determine the ranking of the results accordingly.
What information does the RankBrain algorithm collect and analyze?
The RankBrain algorithm examines and analyzes various information about user behavior. In this section, we want to introduce some of these critical factors:
- Pay attention to the key concept and provide the best response to users
- Examine the factors influencing user satisfaction before entering the page
- Check user satisfaction when searching
- Examine the terms or text used for link building
- Observance of writing standards and principles of simplification
- Analyze user satisfaction with page content periodically
Frequently Asked Questions
What are the focal factors of the Rank Brain algorithm?
Currently, Rank Brain is more focused on examining user behavior and the order in which the site is displayed based on criteria such as the time a user spends on the page, CTR click rate, site bounce rate, etc.
On what basis does the Rank Brain algorithm work?
The Rank Brain algorithm seeks to provide users with the best results by using artificial intelligence and Machine Learning systems. This algorithm is based on two essential principles: the concept of keywords and the analysis of user behavior.
Will Google’s RankBrain algorithm change the previous principles of content SEO?
The principles of content SEO do not change with the introduction of this algorithm, but the main issue is changing SEO strategies and improving site rankings.
What is the advantage of the Rank Brain algorithm over other algorithms?
The Rank Brin algorithm wants to do what other Google ranking algorithms, including pandas, penguins, hummingbirds, pigeons, and so on, did, except that:
- Do it differently and with more complexity and precision.
- Be constantly learning and improving while searching and displaying results.
Concluding remarks
In this article, the question was, “What is the Rank Brain algorithm?” We responded and realized that the era of overusing keywords and poor-quality content was over and that Google’s main criterion for ranking was user satisfaction. The Rankubrin algorithm currently focuses on examining user behavior and displaying search results. The Rank Brain algorithm does this based on criteria such as site bounce rate, user time on the page, click-through rate, etc.
So, to get the best results, provide content in simple and understandable language that your users value. This will automatically optimize their behavior when entering the site or appearing on a particular page, and your Google rankings will improve.
It should be noted, however, that the Rankobrin algorithm was introduced in 2015. Despite several years of implementation, it is still in the process of trial and error, and as a child, it is on the path of growth and development. We hope this article has helped you better understand Google’s ranking algorithm. If you have any questions about this algorithm and it is not mentioned in this article, ask us in the comments section so we can answer you immediately.
**FAQ**
What is Google RankBrain?
Google RankBrain is a machine learning-based algorithm used by Google to help process search queries and deliver more relevant results.
How does RankBrain work?
RankBrain analyzes user behavior and patterns to better understand the intent behind search queries, especially those that are ambiguous or new. It adjusts rankings based on what it learns over time.
Is RankBrain still part of Google's algorithm in 2025?
Yes, RankBrain is still an important component of Google’s core algorithm. It works alongside other systems like BERT and MUM to improve the relevance of search results.