PageRank (PR) is a mathematical formula that judges the “value of a page” by looking at the quantity and quality of other pages that link to it. Its purpose is to determine the relative importance of a given web page in a network (i.e., the World Wide Web).
If you want to geek-out and get tangled up in the math here's your opportunity to decipher this PageRank algorithm equation … (knock yourself out!)
How is PageRank calculated?
PR(A) = (1 d) + d (PR(T1)/C(T1) + … + PR(Tn)/C(Tn)) = Proposed in 1997 by Google founders, Sergey Brin and Lawrence Page, in their original paper.
n December 2000 the Google PageRank Toolbar meter was introduced. The meter was a visual display on the toolbar, and attributed a scale from 0 to 10 the ranking status of a page. In 2016 this method was retired. Even though visible PageRank was removed from the Google Toolbar, all pages still have PageRank value internally within Google.
Currently, Google takes into account several factors when calculating the PageRank of a web page, which are:
* The quantity and quality of inbound linking pages;
* The number of outbound links on each linking page;
* The PageRank of each linking page.
* Along with employing a number of techniques to improve search quality including: page rank, anchor text, and proximity information.
The way search engines work is by matching the user search queries with pages available in their index. During the crawling and indexing phase, search engine crawlers visit a webpage. They extract the information they need and add it to their index. They use this information later during the ‘matching’ process (also referred to as the ranking process).
Part of the information they extract are the keywords on a web page is associated with. If during this process your website is associated with the wrong keywords, then your chances of appearing high in the results is reduced for the keywords that matter for your website.
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PageRank is One piece of The SEO
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