Google Algorithm: Why Does It Change So Much?

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rabia198
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Google Algorithm: Why Does It Change So Much?

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Knowing how Google's algorithm works is the greatest ambition of any SEO expert. However, the giant would not release this information to just anyone, as it would mean abusing possible flaws in the algorithm. Believe it or not, this type of abuse was done in the early days of the internet.
It is very important to highlight that understanding Google's algorithm is not the most important thing for a content creator. In fact, it may be one of the least important when it comes to building a quality website. Calm down, I know it seems a bit strange, but we will explain why.

Focus on the user, not the Google algorithm
The biggest mistake made by those who work with web content is to simply forget about the user and focus on the search engine. However, it is kenya email list important to remember that your content is for humans, not machines.
As such, your site may rank well, but it will not be as effective as you hope it will be. The reason for this? The machine will love your site, but people won't. That is why it has been said that there is no great relevance in understanding Google's algorithm, but rather focusing on the user.

Another important point is that if you create user-focused content, it will naturally look good in the eyes of machines as well. This happens because, as time goes by, we have technologies that can catalog things like the human brain.
In addition, it is very interesting for search engines to understand what people want: the better your searches, the more they will use you. Therefore, if you focus on the user, you will eventually be favored by search engines. Let's understand a little better how Google works.

How Google's Algorithm Works
Google's search engine is an algorithm with a very simple purpose: to answer a user's question. To accomplish this task (which is often extremely difficult), it relies on a method that consists of 4 steps:
In short, content is tracked across the internet, which makes the first selection of content and its respective pages. A database is built with all this content, which is later processed by Google's algorithm and classified according to its rules.
It couldn't be simpler, right? The problem is that Google's classification method is always changing, and consequently its rules as well. This means that content that ranks well today may not be successful tomorrow.

Have you ever wondered what Google finds in its scan? Imagine if the keyword “mango” was used in the search engine, should it show a shirt sleeve or the mango fruit? Furthermore, should any social media post, for example, that contains the word “mango” be cataloged? What a problem.


With this step-by-step guide, the search engine can send you sewing techniques instead of showing you strange videos involving needles and the mango fruit when the question “how to sew a mango” is asked. Plus, everything is done in milliseconds.

What does Google take into account the most?
As mentioned earlier, Google's algorithm is designed to answer a question asked by the user. Therefore, the main characteristics taken into account are the quality and relevance of the content.
However, remember that relevance and quality are for the USER themselves, not for the search engine itself.

Keep in mind that as technology advances, search engines become more accurate in classifying content.
The tips that SEO experts always give are just a guide for those who want to create content on the internet. They are:

None of these tips will guarantee that your website will rank at the top of Google searches. To achieve this, there must be harmony between several factors other than those mentioned. The biggest problem with all this is that no one knows exactly how the search engine works, but we only have a vague idea.

Why does Google change so much?
At this point in the article, you should have already found the answer to this question: it changes to benefit the user. In this way, its changes aim to deliver the best content available on the entire internet to answer a question asked in its engine.

However, as we mentioned earlier, there are several problems when a machine reads content. The biggest one, for example, is the fact that it cannot distinguish between a shirt sleeve and a mango. Of course, this is just one example, but it makes the search engine's challenges quite clear.
In fact, the best way to perform a 100% effective search would be to use people. That way, we would have people searching the internet to find the best answer to the question. The problem with that? It would take years to receive the result of a simple search.
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