Definition of PageRank: Understanding Google’s Algorithm

PageRank, often abbreviated as PR, is a link analysis algorithm developed by Larry Page and Sergey Brin, founders of Google.

From its very beginnings, it formed the backbone of the search engine by making it possible to measure the relative importance of web pages on the Internet.

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What is PageRank (PR algorithm)?

PageRank is a mathematical method that assigns a score to each web page based on the quantity and quality of incoming links it receives.

The more a page receives quality backlinks, the higher its PageRank score will be, thus increasing its visibility in Google search results.

In other words, if many reliable websites link to a page, it indicates to Google that it is trustworthy and useful for users.

How does the PageRank algorithm work?

To understand how the PageRank algorithm works, you need to imagine the Internet as a huge spider web where each link acts as a vote of trust.

But not all votes are equal: a link from a reputable site carries much more weight than a link from a small unknown site.

The PageRank algorithm is based on two main concepts:

🔹 The number of incoming links

🔹 The authority of the pages that provide those links

Thus, the algorithm does not simply count links, it also evaluates their quality.

How does PageRank assign a score to web pages?

PageRank or “PR algorithm” assigns a score to each page, historically ranging from 0 to 10, based on the backlinks received.

A page can pass part of its own PageRank to the pages it links to.

For example:

🔹 If a very popular page links to your site, it transfers part of its authority to you.

🔹 If that page has many outgoing links, the value passed to each one is reduced.

This is commonly called Link Juice.

Detailed functioning of PageRank

PageRank Calculation

The calculation of PageRank is based on a specific mathematical formula. The simplified version of the calculation is as follows:

PR(A) = (1 − d) + d × ∑(PR(T) / C(T))

Where:

🔹 PR(A) is the PageRank of page A

🔹 d is the damping factor (usually 0.85)

🔹 T are the pages linking to A

🔹 C(T) is the number of outgoing links from page T

In other words, the more a page receives quality links and the less those links are diluted among many others, the better its PageRank will be.

PageRank Algorithm Python

For data science enthusiasts or technical SEO specialists, it is possible to simulate PageRank using Python libraries such as NetworkX.

This approach makes it possible to model websites as graphs and calculate the PageRank algorithm in Python to analyze complex networks.

Importance of PageRank in current SEO

PageRank Google

Even though Google has not publicly published PageRank scores since 2016, the algorithm still exists internally and plays a major role in ranking search results.

Google PageRank has been integrated into many other signals, but the basic logic—the importance of links—remains crucial.

Link Between Backlinks and PageRank

Backlinks are the main source of PageRank growth.

However, not all links are equal:

🔹 A link from a popular page transfers a lot of PageRank.

🔹 A link from a weak or penalized site may be ignored or even harmful.

PageRank Transmission: Link Juice

PageRank is passed through hyperlinks:

🔹 Dofollow link: Passes PageRank.

🔹 Nofollow link: Does not pass PageRank (in theory).

Non-transmission of PageRank can be intentional (advertising links, comments, etc.).

Illustrative Example of PageRank Flow

Page A (PR 8) ──► Page B (receives 50% of A’s PR)
──► Page C (receives 50% of A’s PR)
Page D (PR 5) ──► Page B (receives additional PR from D)

=> Page B accumulates PR from A and D → becomes strong.

One PageRank per Page: Myth or Reality?

Each page has its own PageRank, independent of the entire website.

Thus, some pages on a site may have a high PageRank, while others remain weak.

Relevance of Backlinks and Domain Authority

Backlinks must be relevant: a link from a site in the same niche carries more weight than a contextually irrelevant link.

This is where semantic relevance and domain authority come into play.

How to check your PageRank: How to do it?

Since Google removed the public display of PageRank, there is no longer an official way to check it.

However, several tools called Page rank checker allow you to estimate a page’s authority.

Note: Modern tools use metrics such as Domain Rating (DR) or Authority Score, which are inspired by how PageRank works, but are not directly equivalent.

Here is a comparison table:

Tool	Advantages	Disadvantages
Free PageRank Checker	Easy to use	Based on estimates
Google PageRank Checker (historical)	Reference before 2016	No longer updated
Modern SEO Tools (Ahrefs, Moz, SEMrush)	Comprehensive authority analysis	Approximate for PageRank alone

Is PageRank still essential in 2026?

Even though Google has evolved with hundreds of other ranking factors (UX, Core Web Vitals, content quality, etc.), PageRank remains a fundamental pillar for understanding the importance of link building and building strong authority on the Internet.

Mastering the logic of PageRank means better understanding how Google evaluates your site… and therefore better optimizing your SEO in the long term!