Does PageRank really work the same way as it did in 1998?

What does "used the same way" actually mean?

When Gary Illyes asserts that PageRank has not changed in its fundamental use, he refers to the underlying mathematical principle. The original algorithm by Larry Page relies on a probabilistic distribution of a link's value: a page that receives links from important pages becomes important itself.

This directed graph model remains at the core of the engine. Let's be honest: changes occur in the weightings, filters, and adjustment coefficients, not in the central mechanics. A link from a strong page always passes on more weight than a link from a weak page — that's the invariant.

Why does Google emphasize this historical continuity?

This communication serves a strategic purpose: to reassure the SEO ecosystem about the durability of popularity signals. Google wants to avoid practitioners completely abandoning link building on the pretext that "everything has changed".

And that’s where it gets tricky. While the principle remains the same, the application environment has exploded in complexity. The original PageRank did not account for the thematic quality of the link, nor the semantic context, nor the post-click user behavior. Today, these parameters heavily modulate the transmission of juice.

What elements have actually evolved around PageRank?

The topology of the web today is nothing like that of the 2000s. Thematic silos, mega-platforms, fragmented social networks create almost impervious zones of influence. Raw PageRank has to contend with these new architectures.

Specifically? Google has added normalization layers: detection of artificial links, devaluation of automated schemes, sector adjustments. The base calculation still runs, but its output goes through successive filters before impacting the final ranking. It's like saying a V8 engine works the same way it did 50 years ago — technically true, but it runs on unleaded fuel, controls electronic injection, and complies with strict anti-pollution standards.

• The fundamental principle of value distribution via links remains identical to the original mathematical model
• The weightings now incorporate dozens of contextual signals (topicality, freshness, user behavior)
• The anti-spam filters intercept massive manipulation attempts before PageRank propagates value
• The architecture of the modern web requires constant adjustments to avoid biases of over-representation
• The transparency displayed by Google masks the actual operational complexity of the current implementation

Is this statement consistent with field observations?

Partially. Empirical tests confirm that quality backlinks remain a major ranking lever. A well-targeted link building campaign still produces measurable gains in positions. So yes, the basic mechanism works.

But — and this is a big but — the sensitivity of the system to contextual signals has exploded. A link from a thematically close site performs 3 to 5 times better than a general link with equivalent PageRank. That wasn’t the case 15 years ago. The "pure" PageRank was not sufficient to explain these discrepancies. [To be verified]: Google has never publicly detailed the thematic weighting coefficients applied post-PageRank.

What nuances should be added to this statement?

The phrase "the same way" is technically accurate but misleading for the practitioner. Imagine an SEO who optimizes solely for raw PageRank: they would accumulate links from high DA general directories without contextualization. What’s the on-ground result? Almost no impact, or even penalties.

The real issue is that PageRank is no longer the relevant unit of measure to drive a strategy. Third-party tools (DR, DA, TF) attempt to approximate it, but they do not capture Google’s internal adjustments. A site might show a DR of 70 and not rank on competitive queries because its link profile triggers anti-spam filters or lacks semantic diversity.

In what cases does this rule no longer apply directly?

For YMYL queries (health, finance, legal), Google applies massive over-weightings to editorial authority and author transparency. The PageRank of a page counts, but it can be overshadowed by a deficit in E-E-A-T. I’ve seen high-authority linked pages fall behind less linked content but authored by certified experts.

The same goes for local queries: geographical proximity and GMB signals largely overshadow classic PageRank. A local business with 5 local backlinks outperforms a national site with a DR of 50. The principle of juice transmission still applies, but it becomes almost invisible against other ranking factors.

What should be specifically adjusted in your link strategy?

First rule: prioritize thematic relevance over raw metrics. A link from a sector-specific blog with a DR of 30 consistently beats a link from a general directory with a DR of 60. PageRank is transferred, indeed, but its effectiveness now depends on semantic congruity.

Second focus: diversify link typologies. Google has learned to detect artificially homogeneous profiles. Alternate editorial links, press mentions, partnerships, academic citations when relevant. PageRank distributes better in a natural graph than it appears optimized for a single scheme.

What mistakes should be avoided to prevent wasting PageRank potential?

No more orphan links in footers or sidebars without contextual anchors. PageRank is transmitted, but Google applies a massive devaluation coefficient to links outside the main content. An in-content editorial link is easily worth 10 times more than a footer link, with equivalent source PageRank.

Avoid over-optimization of anchors as well. PageRank flows regardless of the anchor, but excessive concentration of exact-match triggers Penguin filters that nullify the positive effect. It’s better to receive 10 links with varied anchors than a single exact-match link from a powerful but suspicious source.

How to check if your link profile is correctly utilizing PageRank?

Analyze your incoming links / indexed pages ratio. A site with 1000 backlinks concentrated on 5 pages wastes internal distribution potential. PageRank quickly dilutes if the internal linking does not redistribute it to strategic pages. Aim for a balance where important pages capture AND redistribute juice.

Also, monitor ranking variations post-link acquisition. If a quality backlink produces zero effect within 4-6 weeks, it’s probably because contextual filters are nullifying its PageRank transmission. This could indicate a problem of thematic congruence or overall profile over-optimization.

• Audit the link profile to identify sources with high thematic relevance, not just high DA/DR
• Check that internal linking effectively redistributes the captured PageRank to monetizable pages
• Eliminate or disavow massive footer/sidebar links that dilute the signal without providing contextual value
• Diversify incoming link anchors to avoid detectable patterns by anti-spam filters
• Measure the real impact of backlinks on ranking, not just their theoretical metric in third-party tools
• Rebalance crawl budget so Google regularly visits pages intended to redistribute PageRank internally