PageRank
PageRank is Google's foundational algorithm, originally developed by Larry Page, that measures the importance and authority of a web page based on the quantity and quality of pages linking to it-treating links as votes, with votes from important pages counting more. While PageRank remains a core component of Google's ranking systems, its public Toolbar PageRank was discontinued in 2016. Third-party metrics like Domain Authority and URL Rating approximate PageRank-like signals but are not the same measure.
Why It Matters
PageRank's core logic-that links from authoritative pages confer more authority than links from low-authority pages-remains central to how Google evaluates trustworthiness and ranking potential. Building high-quality inbound links from authoritative domains builds PageRank-equivalent authority that benefits both traditional search rankings and AI system trust evaluations, which use similar authority signals.
How It Works
PageRank is calculated iteratively: each page distributes its PageRank score equally among all pages it links to (following links only). This creates a system where pages linked to by many high-PageRank pages receive high PageRank themselves. The algorithm converges to a stable distribution reflecting the link graph's structure. Google's actual ranking system layers hundreds of additional signals on top of this PageRank foundation.
Use Cases
- Link building campaigns prioritizing links from established domains with strong backlink profiles
- Internal link audits ensuring highest-priority pages receive link equity from high-PageRank internal pages
- Competitive analysis identifying why competitors rank despite lower content quality-often superior link authority
- Domain acquisition evaluating whether target domains have strong historical PageRank accumulated through quality links
- Content creation strategy focusing on link-earning formats to build PageRank-equivalent domain authority
Best Practices
- Prioritize acquiring links from domains with high domain authority (DA/DR as PageRank proxies) in your topic space
- Focus on relevance alongside authority-a link from a highly relevant mid-authority domain often outperforms an irrelevant high-authority link
- Use internal linking to channel external PageRank to your most important commercial pages
- Build a diverse, natural-looking link profile rather than concentrating links from single domains
- Track domain authority trends using Ahrefs DR, Moz DA, or Semrush AS as PageRank proxies
- Create linkable assets (data, tools, original research) that naturally earn high-authority inbound links
Frequently Asked Questions
Is PageRank still relevant in 2025? +
What's the difference between PageRank and Domain Authority? +
Does PageRank affect AI citation selection? +
Related Terms
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