PageRank is still a useful model for internal linking
[]Updated in 2026: Google removed public toolbar PageRank years ago. PageRank itself continues to be part of Google’s core ranking systems, though its modern implementation is not a public score.
Public PageRank scores are gone, but the underlying model remains useful: links distribute relative importance through a site. Use it to find orphaned pages, dead ends and needlessly deep structures. Other link-analysis systems, not PageRank alone, interpret meaning and context.
The model in plain English
Imagine every page distributing some of its importance through the links it contains. A page receives more when important pages link to it, and it distributes that attention onwards. Repeated across a graph, the pattern helps reveal which pages the structure treats as important.
Modern Google Search uses far more than this model. Google’s ranking-systems guide says PageRank remains one of several link-analysis systems and has evolved considerably since launch.
Where the model helps
Run a crawl or internal graph analysis and look for:
- important pages with no internal links;
- pages reachable only after many steps;
- navigation that points heavily to low-value utilities;
- old posts receiving links but offering no route to current material;
- faceted or calendar pages consuming most of the graph.
Then fix the reader journey. Link from relevant, visited pages using descriptive anchor text. Keep essential categories in clear navigation. Redirect or consolidate only when the content decision justifies it.
Where the model misleads
Do not treat third-party authority numbers as Google PageRank. Do not add hundreds of mechanical links to “sculpt” a score. A prominent link that nobody needs can make the site harder to use even if a graph tool turns green.
PageRank is underrated as a way to think about structure and overrated as a number people imagine they can optimise directly. Use the model to ask what your site says is important, then check whether readers agree.
