PageRank
PageRank is Google's original link analysis algorithm, which assigns a score to web pages based on the quantity and quality of links pointing to them. It remains a foundational component of Google's ranking system.
Reviewed by Alexander Yarovenko · Updated: 2026-07-03
What is PageRank?
PageRank (PR) is the algorithm developed by Google co-founders Larry Page and Sergey Brin at Stanford University in 1996. It calculates the importance of web pages based on the number and quality of links pointing to them — treating each link as a "vote" for the linked page. A link from a highly authoritative page passes more PageRank than one from a low-authority page.
How PageRank Works
PageRank is calculated iteratively. In simplified form:
PR(A) = (1-d) + d × (PR(T1)/C(T1) + ... + PR(Tn)/C(Tn))
Where:
- d = damping factor (usually 0.85)
- T1...Tn = pages linking to page A
- C(T) = number of outbound links from page T
Key properties:
- A page's PageRank is divided equally among all its outbound links
- Links from pages with high PageRank pass more authority
- The damping factor (0.85) models the probability a random web surfer continues clicking links
Google's Toolbar PageRank vs Internal PageRank
Google discontinued the public PageRank toolbar score (0–10) in 2016. However, internal PageRank continues to be a core part of Google's ranking system — it's just no longer publicly visible. Third-party metrics like Moz DA and Ahrefs DR attempt to approximate it.
PageRank Distribution (Internal Linking)
You can influence how PageRank flows through your site via internal linking:
- Link from high-authority pages (homepage) to important content pages
- Avoid orphan pages (no internal links pointing to them)
- Fix pages returning 404 errors (broken links waste PageRank)
- Use fewer outbound links on your most important pages