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The correctness of these results according to your performance

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發表於 2024-3-6 14:55:15 | 顯示全部樓層 |閱讀模式
In the best case, it should be said that these two algorithms are complementary and help each other in Google searches. But Burt's algorithm is more intelligent and Rank Brain's algorithm works by looking at the current search and finding old searches and reviews  compared to the results shown. In addition, RankBrain somehow translates your searches. For example, if you search for the phrase "biggest tower in Iran" in Google, Google will find out by Rank Brain that you mean the Milad Tower in Tehran. The impact of Burt's algorithm on SEO Burt's algorithm effective on SEO Since SEO is the process of optimizing search engines.

any changes that search engines make to their algorithms affect the Kuwait Phone Number Data optimization process, which actually means that it has affected all types of SEO, such as store and company site SEO services , etc. . As we know that if the user wants to search for a term with any type of writing, Google will display the best and most relevant results with the searched term to the user using Burt's algorithm. Therefore, by using this algorithm, the user's search process is optimized. It can be concluded that if the best result is displayed to the user, the SEO of the site will also improve. The impact of Burt's algorithm on content production and marketing methods.



Brett Algorithm and Marketing With the use of Google Burt's algorithm, changes in content production, especially textual content, are mandatory for SEO professionals. Old methods of content production, such as repeating keywords or turning on the green YOAST WordPress light, will no longer be effective for ranking in Google and guaranteed SEO. Instead, by using keyword research, we should be able to more accurately understand the purpose of users' searches and start creating content in the same language that users are searching for. Understanding the user's search intent One of the things that Bert's algorithm does well is to predict the user's search intent with a low error rate.

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