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What is Page Rank and DA ?

PageRank is an original Google algorithm used to measure a web page's importance, while Domain Authority (DA) is a third-party metric developed by the company Moz to predict a website's ranking potential.  Both metrics are heavily influenced by the quality and quantity of backlinks. 



Feature PageRank (PR)Domain Authority (DA)
OriginatorGoogle (developed by Larry Page and Sergey Brin)Moz (an SEO software company)
PurposeAn internal Google algorithm that measures a web page's importance based on links and other factors. It is a direct ranking signal for Google's search results.A comparative score that predicts how well a website will rank on search engine results pages (SERPs) relative to its competitors.
ScoreHistorically, a public score from 0–10 was visible via the Google Toolbar, but this was discontinued in 2016. The current internal version of PageRank is not publicly visible.A score from 1–100. It is easier to improve from 20 to 30 than from 70 to 80.
ScopeMeasures the authority of individual web pages, with authority flowing from one page to another through links.Measures the overall ranking strength of an entire website domain, including all its subdomains and pages.
Status as a ranking signalYes, it is a Google ranking signal, but the public metric is no longer available.No, it is not a Google ranking factor. Google does not use DA in its ranking algorithm.

How DA is substituted for public PageRank 

Since Google stopped showing public PageRank scores, SEO professionals use third-party metrics like Moz's DA to estimate a website's authority.  DA takes into account numerous factors that are associated with high search rankings, such as: 

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The number of distinct websites linking to a domain is referred to as

Linking root domains. The sum of all inbound links is referred to as the 

Total number of links. The authority of the websites linking to the domain is known as the 

Quality of the links. Webmasters can compare their competitors and track their own website's ranking strength over time by using DA as a comparative metric.

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