HOW THE LINKS ARE EVALUATED BY THE SEARCH ENGINES

 

The best way to measure the exposure of your website is via link popularity. It is universally known that the links are considered votes from one site to another but it is still a mystery for many of us to know how this vote can count to boost your search engines rankings. Until few years ago popularity on the web was achieved by having the maximum number of links as possible, and today the real issue in this matter is the relevance. We know that the focus of Google and other search engines is trying to organize the information located in their databases and they are always doing their best to reduce the distances between the human and the artificial intelligence.

Link popularity is crucial. More and more search engines measure it ( and the quality of the links ) and use that info when ranking sites. Without it your site probably won't rank well, but if many good sites link to yours, you probably have a good site with lots of useful information. Any seo worth his salt should be able to suggest ways to improve your site's link popularity.
What others sites "say" about your site through their link text, the title of their links page, and the content of their links page can be almost as important as what your own web pages say !!. This means that the quality of the links may be as important as the quantity of links to your site.

 

Another on-page factor to consider if we want to optimize your site is the site architecture that refers to the website navigation scheme and layout. The way your pages are linked to each other can dramatically affect your rankings.
Finding links on the website is time consuming, but if you will be able to find good inbound links the search engines will reward you with higher SERPs because they see you are smart and very consistent.

 

Since search engines change their ranking crirteria constantly, it's very important to be up to date on the latest advancements in search engines technology: being knowledgeable will allow us to respond to the algorithm challenges without becoming "algoholic".

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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