PageRank is a term used to describe a site's score based on the calculation of the quantity and quality of incoming links. This is done by the Google algorithm as a determining factor for the ranking of a website. The Bing version is called the Page Score.
In the past, a site's PageRank was opened to the public. So, anyone can find out the score of this Google version of the site.
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| Credit: mangools.com |
Several third-party SEO tools, also make tools to measure a site's score based on individual assumptions. Just as MOZ uses the term Domain Authority (DA), Ahref uses the term Domain Rating (DR).
However, for scores from third parties, Google has confirmed that they are three using it. In essence, Google has its own way. And the site's PageRank score, cannot be known by the general public.
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What is PageRank?
PageRank is a link authority algorithm created by Google. This is useful for helping search engines compare which pages qualify for a particular query, based on how often they are referenced as a link on another site's page.
In the world of SEO, we often hear the term backlinks.
This algorithm, has a big role in determining; which pages deserve the highest ranking, for a particular search query.
A Brief History of PageRank
Way back in the early days of the web, search engines, had a hard time ranking the best and most authoritative pages for a particular query. In the past, search engines only relied on signals that were completely controlled by webmasters.
Such as meta title tags, descriptions, and content that is created contains keywords with a certain density. What we know is that now it is not a major factor anymore.
Thus, the search results page is filled with webspam for search results on search engines. They got the best ranking because they were able to trick the algorithm that was still very simple.
Google appeared in the late 90's. They are then able to provide much better (and cleaner) search results. This was how Google dominated the web search space. Since then, it has become one of the largest (and richest) companies in history.
Google can do this because of "PageRank".
The original academic paper on PageRank, published by Page and Brin, is currently still available and accessible on the Stanford website.
This excerpt from the introduction summarizes the purpose and value of PageRank:
“In this paper, we make use of the Web link structure to generate a global 'importance' ranking of each web page. This ranking, called PageRank, helps search engines and users quickly understand the vast heterogeneity of the World Wide Web. "- Google PageRank
Random vs Fair Surfer Model
In the original PageRank paper, Page and Brin mentioned the concept of PageRank in the "random surfer" model - the idea was, that PageRank would represent the likelihood of a random surfer, in other words, a user who is likely to click one link on a page like another, will land on the page. certain.
The more likely it is, the higher the PageRank, the higher the page will rank in search results.
This concept then revolutionized how people find information on the internet. That original idea, however, had a logical next step: since people were not randomly crawling, PageRank had to consider what links were most likely to be clicked vs. less obvious links on the page.
In 2004, Google filed a patent for what it called a "fair surfer" model for PageRank:
“This plausible surfer model reflects the fact that not all document-linked links have the same tendency to be followed. Examples of links that are rarely followed can include 'Terms of Service' links, banner advertisements and links that are not related to documents. "
This means that the link values between one another are not treated equally. Each link is assessed based on the "importance" of its existence.
In concept, the surfer's sensible model states that, giving PageRank, or authority, an average score for all links on a page, clearly does not reflect the true likelihood that, that particular link is clicked - the link needs to be weighted based on the location where it appeared on the page. , based on topic relevance and other factors.
This is the basic idea of the writing that I made earlier, in the article entitled " link building method " that high value links must have a story, usefulness and are in accordance with the function of the link being made.
Unfortunately, the exact model for a reasonable surfer's version of PageRank is not available to the public. This means that this is Google's secret.
This technology is critical to the quality and relevance of Google's search results. And until now, Google itself is still making improvements from time to time.
Frequently Asked Questions About PageRank
How do I increase my PageRank ?
Please note that, we never know for sure the PageRank of our site. However, based on the assumption that PageRank is calculated based on the quality and quantity of incoming links, that means, implementing a link building strategy is a way to increase it.
In short, the first step is to produce and promote high-quality content on your site. So that it becomes feasible to be linked by other sites.
How to measure PageRank
Although there are quite a number of services out there that attempt to model Google's PageRank algorithm, Google has its own calculation for PageRank. And it's not publicly available.
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