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Official statement

The crawling of links by Google’s bots depends on the amount of PageRank on a page. If a page has enough PageRank, the bots will generally follow the outbound links. Towards the end of a crawl session, it may happen that some links are not explored, particularly if the page is discovered late in the process.
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Extracted from a Google Search Central video

⏱ 1:05 💬 EN 📅 26/05/2011 ✂ 2 statements
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  1. 0:33 Le rel='canonical' bloque-t-il vraiment le suivi des liens par Googlebot ?
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Official statement from (15 years ago)
TL;DR

Google confirms that the crawling of outbound links depends on the amount of PageRank available on a source page. If a page has insufficient PageRank, bots may ignore certain links, especially towards the end of a crawl session. This means that a poorly positioned page within your internal architecture may see its outbound links ignored, even if the structure seems optimal on paper.

What you need to understand

Does distributed PageRank still influence Googlebot's behavior?

This statement reminds us of a reality often overlooked: PageRank has never disappeared, it has simply been removed from public tools. Googlebot still uses this metric internally to prioritize its crawl and decide which links deserve to be followed.

When a page receives PageRank via quality backlinks or good internal linking, it has a more generous crawling budget. Conversely, a page buried 5 clicks deep from the homepage, without significant inbound links, sees its distribution potential reduced. Googlebot may then ignore some outbound links, especially if the crawl session is nearing its end.

How does Googlebot decide which links to follow towards the end of a session?

The concept of crawl session is central. Googlebot does not have infinite time per site: it allocates a time window defined by your crawl budget. If a page is discovered late in this cycle, the bot may choose to stop exploring its outbound links.

The determining criterion remains the available PageRank. A page discovered late but benefiting from high PageRank will see its links explored as a priority. A marginal page discovered at the same time risks having its links pending, or even ignored until the next session.

Why don’t some important pages pass their juice correctly?

Two common scenarios explain this phenomenon. First case: the page lacks quality internal inbound links. Even if it contains strategic outbound links, its insufficient PageRank prevents Googlebot from consistently following them.

Second case: the page arrives too late in the crawl journey. If it is discovered after Googlebot has already consumed 90% of its allocated budget, its outbound links become a lower priority. This is particularly problematic for deep sites with tens of thousands of URLs.

  • Internal PageRank directly influences a page’s ability to have its outbound links crawled by Googlebot
  • A page discovered late in a crawl session risks having its links ignored, even with adequate PageRank
  • The site architecture and internal linking become critical levers for effectively distributing PageRank
  • Strategic pages should be accessible within 3 clicks from the homepage to maximize their PageRank and ensure their links are followed
  • The crawl budget is not just a matter of URL volume: it's also about intelligent internal PageRank distribution

SEO Expert opinion

Does this statement align with real-world observations?

Absolutely. Log audits regularly show incomplete crawl patterns on pages that are well-linked. When we cross-reference this data with page depth and their position in the architecture, the link with internal PageRank becomes evident.

Massive e-commerce sites face this issue chronically: valid product listings, with outbound links to other categories, remain partially crawled. The cause? They are buried 6-7 clicks from the homepage, with maximum diluted PageRank. Googlebot visits, indexes the page, but skips a portion of the outbound links.

What nuances should be added to this statement?

Google remains deliberately vague about the threshold of PageRank needed. [To be verified] No public data allows us to accurately quantify the minimal level required to ensure link tracking. This opacity complicates optimization: we work in the dark, relying on proxies like click depth or inbound link counts.

Another nuance: the notion of end of crawl session is vague. Google does not communicate the exact duration of its sessions per site, nor the criteria that trigger their closure. We know they vary according to the site's update frequency, overall authority, and content quality, but the precise mechanisms remain unclear.

When does this rule really pose a SEO problem?

Sites with deep architecture are the most affected. Media outlets with massive archives, e-commerce sites with extensive catalogs, UGC platforms with millions of pages: all suffer from this uneven PageRank distribution. As a result, large sections of the site remain under-crawled, even with a theoretically sufficient crawl budget.

Another critical case: poorly positioned hub pages. A strategic category page, meant to redistribute juice to 50 product listings, but located 4 clicks from the homepage with few internal backlinks, does not fulfill its role. Googlebot crawls it, but ignores some of the outbound links, disrupting the PageRank distribution logic.

Note: multiplying internal links to a target page does not linearly increase its PageRank. The first link counts the most; subsequent links have a diminishing impact. It's better to have a link from a strong page than ten from marginal pages.

Practical impact and recommendations

How to optimize the architecture to maximize link tracking?

Absolute priority: reduce the click depth of strategic pages. All important content should be accessible within a maximum of 3 clicks from the homepage. This requires reviewing menu structures, adding direct links in the sidebar, and creating intermediate hub pages if needed.

Second lever: focus internal linking on high-potential pages. A star product page should receive links from the homepage, parent categories, and related blog articles. The goal is to inject enough PageRank so that Googlebot consistently follows its outbound links to similar or accessory products.

Which indicators should be monitored to detect an internal PageRank problem?

Crawl logs remain the most reliable indicator. If Googlebot regularly visits a page but ignores some of its outbound links, that’s a clear signal. Cross-reference this data with click depth: a strong correlation confirms a PageRank distribution issue.

Another metric: the rate of orphan pages discovered late. If Googlebot takes several weeks to discover pages that are linked from other URLs, it's because the source pages lack PageRank. An internal linking audit is necessary to identify bottlenecks.

Should certain pages be prioritized in internal linking?

Without a doubt. Not all pages have the same business value. Concentrate internal PageRank on revenue-generating pages: best-selling product listings, premium service pages, high-traffic evergreen content. Secondary pages can make do with residual PageRank.

In practice, this involves a smart linking audit. Identify pages that receive too many internal links for their real importance, and redirect that juice to strategic URLs. A link from a strong page is more valuable than ten links from weak pages.

  • Audit the click depth of all your strategic pages and bring them to a maximum of 3 clicks from the homepage
  • Analyze your crawl logs to identify pages whose outbound links are not systematically followed by Googlebot
  • Strengthen the internal linking to your hub pages: they must have enough PageRank to redistribute effectively
  • Remove unnecessary internal links from weak pages: they dilute PageRank without adding value
  • Create intermediate pages (categories, thematic hubs) to shorten the path to deep content
  • Monitor the evolution of the crawl budget after optimization: improved PageRank distribution should lead to more efficient crawling
Optimizing internal PageRank distribution requires a complex architectural overhaul. From log audits, restructuring links, to prioritizing strategic pages, the technical tasks can pile up quickly. For medium to large sites, collaboration with a specialized SEO agency helps secure these decisions and avoid costly crawl budget errors.

❓ Frequently Asked Questions

Le PageRank interne fonctionne-t-il exactement comme le PageRank des backlinks ?
Le principe reste identique : le PageRank se transmet via les liens. En revanche, les liens internes distribuent généralement moins de jus qu'un backlink de qualité équivalente, et Google applique des filtres pour éviter les abus de sur-optimisation du maillage interne.
Un lien en nofollow empêche-t-il la transmission de PageRank pour le crawl ?
Non, Google a modifié le comportement du nofollow qui est désormais traité comme un indice et non une directive absolue. Googlebot peut choisir de suivre un lien nofollow s'il estime la page cible pertinente, mais la transmission de PageRank reste atténuée.
Comment savoir si mes pages manquent de PageRank interne ?
Analysez vos logs de crawl : si Googlebot visite une page mais ignore régulièrement ses liens sortants, c'est un signal fort. Croisez avec la profondeur de clic et le nombre de liens entrants internes pour confirmer le diagnostic.
Augmenter le crawl budget global suffit-il à résoudre le problème ?
Non. Un crawl budget élevé ne compense pas une mauvaise distribution du PageRank interne. Googlebot peut crawler plus d'URLs sans pour autant suivre tous les liens des pages marginales. L'architecture et le maillage restent prioritaires.
Les pages découvertes en fin de session sont-elles définitivement pénalisées ?
Non, elles seront recrawlées lors des sessions suivantes. Mais si elles restent découvertes tardivement à chaque cycle, leurs liens sortants risquent d'être systématiquement ignorés, retardant l'indexation des pages cibles. C'est un handicap structurel, pas une pénalité ponctuelle.
🏷 Related Topics
Domain Age & History Crawl & Indexing Links & Backlinks

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Other SEO insights extracted from this same Google Search Central video · duration 1 min · published on 26/05/2011

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