PageRank is the Google algorithm that scores pages by the quantity and quality of links pointing to them. How it works, what remains of it and what to do.

Summary
PageRank is the link analysis algorithm created by Larry Page and Sergey Brin that estimates the importance of a page from the number and the importance of the pages linking to it. It founded Google in 1998 and still exists, in an evolved form, among its ranking systems.
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PageRank is an algorithm that measures the relative importance of web pages by analysing the links between them. The idea is simple: a link from page A to page B is a vote of confidence, and a vote from an important page weighs more than a vote from an obscure one. The algorithm was described in 1998 by Larry Page and Sergey Brin, then students at Stanford, in the paper that introduced Google. The name is a play on Larry Page's name and on the word "page".
For years, PageRank was the visible face of SEO: Google displayed a score from 0 to 10 in its browser toolbar, and a whole market of link buying grew around it. That public score disappeared in 2016, but the principle remains. Google's own documentation still lists PageRank among its core ranking systems, while specifying that it has evolved a lot since its creation.
PageRank models a "random surfer" who clicks on links at random and occasionally jumps to any page. The PageRank of a page is the probability that this surfer is on it at a given moment. Pages that receive many links, especially from pages that themselves receive many links, accumulate a higher probability.
Three rules follow from the original formula. First, each page shares its value among all its outgoing links: a page with 100 links passes less to each one than a page with 5. Second, a damping factor, set at 0.85 in the original paper, represents the probability that the surfer keeps clicking rather than jumping elsewhere. Third, the calculation is iterative: scores are recomputed across the whole web graph until they stabilise.
Yes, but not as a single visible score. Google's guide to its ranking systems mentions PageRank as one of the link analysis systems it uses to understand how pages relate to each other. Over time, Google added filters against manipulative links, the nofollow attribute and its variants sponsored and ugc, and the evaluation of the context of a link: its position on the page, its anchor text and the topic of the linking site.
The toolbar score, updated only a few times a year, was removed in 2016. Since then, nobody outside Google can see the real PageRank of a page. Third-party metrics such as Moz Domain Authority, Ahrefs Domain Rating or Majestic Citation Flow are estimates built on their own link indexes, useful for comparison but distinct from Google's calculation.
PageRank flows inside a site as well as between sites. Every page that receives external links passes part of its value to the pages it links to. A strong internal linking structure therefore distributes authority toward the pages that matter commercially: categories, service pages, key guides.
Three practical consequences: important pages should be reachable within a few clicks from the home page; orphan pages, which receive no internal links, receive no PageRank; and pages that attract many backlinks, such as studies or tools, should link to the pages you want to rank.
Earn links from relevant and trusted sites, because one link from a respected publication in your field is worth more than dozens from unrelated directories. Create assets that people cite naturally: original data, tools, complete guides. Link your own pages logically with descriptive anchors, and fix broken links and redirect chains that waste value.
Avoid schemes designed only to manipulate PageRank: paid links without the sponsored attribute, link exchanges at scale, private blog networks. Google's spam policies explicitly target link schemes, and the risk is a manual action or links that simply count for nothing.
For SEO, PageRank explains why backlinks remain one of the strongest ranking signals: they are the raw material of the calculation. For GEO, the logic extends to citations. AI assistants that browse the web start from search results, where well linked pages are better placed, and they favour sources that other sites already reference. A page that is linked and cited across the web is more likely to be retrieved and quoted by ChatGPT or Perplexity.
Sorank helps you obtain natural backlinks automatically: its backlinks acquisition feature places one-way links between sites of its network of more than 5000 users, in articles related to your topic.
PageRank is the algorithm that turned links into votes and made Google possible. The public score is gone, but the principle still shapes rankings: pages linked by important, relevant pages carry more weight, and that weight flows through internal links. Quality backlinks and a clear internal structure are the two levers you control.
To go further, read our pages on link building and Domain Authority. Reference sources: the original 1998 paper by Brin and Page and Google's guide to its ranking systems.
Sources
No. Google stopped showing PageRank publicly in 2016 when it removed the toolbar score. Tools such as Moz, Ahrefs or Majestic offer their own authority metrics based on their link indexes. They help compare sites, but they are estimates and do not reproduce Google's internal calculation.
Google treats nofollow, sponsored and ugc as hints since 2019 and decides whether to use them. In most cases these links pass little or no ranking value. They can still bring traffic, brand visibility and discovery of new pages.
Yes. PageRank flows between the pages of your own site through internal links. Linking important pages from your home page and from pages that receive many backlinks concentrates value where it matters, while orphan pages receive none.
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