Google Web SEO | Search Engine Optimization – 2

Google Web SEO – Website Optimization

We have created this article as a continuation of our first article on Google Web Seo (Search Engine Optimization). Before reading this article, it is recommended that you read the article called Website Optimization -1 | SEO .

Last time we talked about a more personal, user-recognizing and fast-working Google. If we need to dwell a little bit on Google’s working logic and Algorithm,

Algorithm and Quality

We can liken the Google search engine to a TV. Let’s go inside this television.
While in the early days, 10 results were listed in Google searches according to Google Page Score, today, results equipped with applications, maps, images, videos and multimedia content are listed as extra.

Google looks at two basic criteria to list the results after querying the search parameters. The first is“Signals” and the second is“Metrics“. As a result of these two criteria, which are linked by cause and effect, it tries to list the best results. It uses“Google Page Rank” and“Duplicate Content Detection” algorithms as auxiliary criteria. Duplicate content refers to the detection of copy-paste content.

Google Trends

We, the users, are the guinea pigs in every single search we do on Google. In a single query, an average of 1000 test algorithms and related sub-algorithms are running. In this way, Google develops live tests and improves itself in line with users’ requests.

What is Machine Learning?

Although machine learning is seen by some as equivalent to Artificial Intelligence, the machine learning function needs to work in order to detect fake content intended to deceive the user, to detect spam or hacked sites and to distinguish them from real content.

Thus, pure-authentic content can be distinguished from fake content. The aim of Google web seo searches is to list content with real pure information in the top positions. To the extent this is achieved, search results will be reliable and functional. Otherwise, users will be drowned in spam.

In the future, we will take a look at Google’s indexing algorithms on mobile-looking sites. In recent years, the fact that both search traffic and internet traffic are made through mobile sites and applications has led Google to make updates and changes in this direction.

Traffic continues to be concentrated on mobile devices day by day. For this reason, be sure to read our Mobile Indexing article.

I also recommend you to read the“Google Rich Content” article I prepared about Google searches.