Rank Brin algorithm is one of the most important algorithms of Google search engine, which has been created with the aim of sorting the results, better understanding of the titles under search and finally displaying the most accurate and comprehensive content to the user.
According to official Google statistics, the Rank Brin algorithm is the third most important signal in the ranking of Google results, so if you also work in the field of SEO, I recommend you to take this algorithm more seriously than before.
Here you may be wondering how we as SEO experts can optimize our website to satisfy this algorithm? How does this algorithm use artificial intelligence to optimize results and on what criteria is it more sensitive to site ranking?
In the continuation of this article, I am going to introduce the Rank Brin algorithm and examine how it works, answer these questions and introduce the points that an SEO expert should know at your service.
Table of Contents
What is the impact of Rank Brin algorithm on SEO?
Before the Rank Brin algorithm was designed, Google engineers used engineering and mathematical factors to classify and rank Google indexed pages. The design of the Rank Brin algorithm provided a major change in the ranking of Google search results; Because this algorithm is more of a conceptual model that is indexed based on conceptual keywords and their meanings.
Rank Brin algorithm over time uses artificial intelligence and machine learning tools to examine users’ search results and optimize the result that has the same meaning and concept as the searched term, but you must be careful to constantly update your content to Rank ranking Get good results.
Rank Brin algorithm and artificial intelligence
Rank Brin is one of the main algorithms of Google, this algorithm is based on artificial intelligence and using machine learning to determine the ranking of Google search results.
In explaining machine learning, it should be said that machine learning actually works with artificial intelligence and the ability of systems and machines to train is self-centered. They use input data to learn something and determine how something works. The Rank Brin algorithm was introduced by Google in October 2015. In fact, this algorithm is an auxiliary algorithm for Google Hummingbird algorithm.
In fact, Google invested in machine learning and artificial intelligence to filter search results and rank them. In this article we intend to:
- What is Rank Brin and how does it work?
- Why should we follow this algorithm?
- And how can we optimize Google search results for rankings?
What is the Rank Brin algorithm?
In fact, the Rank Brain algorithm was designed by Google to satisfy a simple but large shape.
Statistics from Google search results show that 15% of search queries remain unanswered. In fact, Google did not have a result for users’ searches, and users were faced with results that were not related to their search or that no result was found. That’s why Google designed the Rank Brin algorithm to make its users’ search results more accurate and meaningful.
How does Rank Brain perform?
- Understand search queries (keywords)
- Measuring how people interact with results (user satisfaction)
Well, we mentioned earlier that Google did not show 15% of users’ search results for the keywords they were looking for, or rather, did not provide relevant results for those keywords. 15% may not be a big number, but when billions of searches were done daily by users, that number reached 450 million keywords that Google and users were struggling with every day.
In fact, what Rank Brin does is, before Google, Rank Brin scans pages to find the ones that most closely resemble the meaning and concept of the search keyword. For example: When you search for Sony’s advanced gray console, Google shows you pages that contain the keywords “gray”, “console”, “advanced” and “Sony”.
But now what Rank Brin does is show exactly what you asked for and what you searched for. Now let’s take a closer look at what Rank Brin does exactly by giving an example. In fact, Rank Brin is like a human but with his own artificial intelligence trying to figure out exactly what you are looking for.
How does the Rank Brin algorithm do this?
By matching unseen keywords with keywords that Google has already seen, such as Rank Brin, you may find that someone may be looking for different types of consoles, so results related to other consoles It also displays, like Nintendo’s advanced gray console or PlayStation; So Rank Brin shows similar results for a keyword it already knew, Sony’s advanced gray console.
How does Rank Brin measure user satisfaction?
The question that may come to your mind here is: When Rank Brin shows a set of results for a keyword or search term, how does it know that these results are relevant, accurate and good ?
Well, what Rank Brin actually does at this point is show you a set of search results that you think were right for you. If many people are satisfied with these results, they rank that page, and if they are not satisfied with it, they immediately leave that search page and go to another page. Then the next time someone else searches for that phrase and keyword or something similar, it sees its function.
How does Rank Brin do these checks?
This intelligent algorithm actually examines how you interact with the search results; Examples include:
- Organic click through rate
- Bounce rate
Such cases are known as user experience signals (UX signals).
Search for keywords in the world of Rank Brin
Forget the keywords long tail!
To be very brief, Rank Brin no longer recognizes long keywords and does not optimize them. What is the solution now? You should try to use medium tail keywords instead of long tail and optimize and SEO your site around these keywords because these words have a higher search rate.
Optimize title tags
One way you can do SEO for your content with the Rank Brin algorithm is to try to choose emotional titles for your content so that readers can interact better with it.
for example :
“Productivity Tips: How to Do More”
Not a bad title, but not one that can communicate with the audience, now consider the following example:
“Break down your to-do list with these 17 productivity tips”
You saw that with a little change, you can do something to attract the audience to your title and increase the click-through rate of your site. With this trick, you can optimize your site and content for the ranking algorithm.
Description tag optimization
Don’t forget to optimize your description tag for more CTR clicks.
Explanatory tags may no longer help SEO directly. With that said, I found that an optimized description could significantly boost your CTR.
Here are some ways to create a descriptive tag that concludes:
First, feel it.
Just like a title tag, you want your description tag to convey emotion to your audience.
Next, point out why someone should click on your result.
Is your content comprehensive? Based on research written? It’s funny? Write (sell) in your description
Then, copy the words and phrases used by paid ads (AdWords).
Finally, enter your desired keyword.
Google highlights it, which can help highlight your result.
Use Rank Brin algorithm of retention time and bounce rate for site ranking
Obviously, the more time someone spends on your page, the better. “Users like this result,” it told Google. “Let’s raise it a few lines.”
And if someone pulls back from your site after 2 seconds, it means they have a bounce rate for your site, it tells Google:
“This is not a good result!” “Let’s drop it a few lines.”
It makes sense that Rank Brin measures the retention time and sorts the results based on this signal.
How to decrease Bounce rate and increase Dwell Time
Here are some ways to reduce bounce rate and increase Dwell Time:
Keep your content at the top of the page
Users do not want to go to the bottom of your page when they click on your site. In fact, they want to get their answer right away; For this reason, I strongly recommend that you remove anything that degrades your content.
Use a brief introduction
Because your introduction is where 90% of your readers decide to stay or go. When someone searches for something on Google, they already know about it. Therefore, there is no need for extensive introduction.
Publish long, deep content
Another reason that long form content improves retention time is because users with such content can find their full answer.
Divide your content into smaller sections under the heading
2000 words is hard to read. And even if these 2000 words are presented as a huge wall of text, it is even more difficult.
Fortunately, there is a simple way to solve this problem: subheadings.
Subheadings split your content into digestible pieces. And improves readability, and thus, increases shelf life.