PageRank

by | Dec 18, 2024 | Analytics & Insights, Digital Marketing, Internet Marketing, SEO & LLM Visibility

Diagram illustrating PageRank flow, showing high-authority pages linking to lower pages and how link equity is distributed across a network.

PageRank is an algorithm developed by Google founders Larry Page and Sergey Brin that evaluates the authority and importance of a webpage based on the quantity and quality of inbound links. It operates on the principle that a page is deemed more valuable if it is linked to by other important pages, functioning as a form of link-based reputation score within the web’s interconnected structure.

PageRank treats links as votes, but not all votes are equal: a link from a high-authority page carries more weight than one from a low-authority page. The algorithm uses a probabilistic model to determine the likelihood that a “random surfer” would land on a page by following links, assigning it a score from 0 to 10 (in its original public version).

While Google no longer publicly updates or displays PageRank scores, the core concept remains foundational to how search engines assess link equity, domain authority, and ranking relevance.

Alternate Names:

  • Google PageRank

  • Link Popularity Score

  • Link Equity Algorithm

  • Web Graph Algorithm

  • Hyperlink Authority Score

Entity Characteristics:

  • Inventors: Larry Page, Sergey Brin

  • Purpose: Rank web pages based on link importance

  • Type: Link Analysis Algorithm

  • Foundation of Google Search’s early ranking signals

  • Calculation: Iterative, probability-based (random surfer model)

  • Core Metric: Link authority/trust passed through hyperlinks

  • Influence: Still indirectly affects SEO through link building and authority metrics

Core Components:

  • Inbound Links (Backlinks)

  • Outbound Links

  • Link Authority / Link Juice

  • Damping Factor (typically 0.85)

  • Iterative Scoring Formula

  • Anchor Text Context