Guide : PageRank

PageRank is Google's original link-analysis algorithm — Ce que c’est, the random surfer model and the formula, the Reasonable Surfer mettre à jour, its history from the Toolbar to the 2024 API leak, pourquoi it's encore a core ranking system, and Ce que cela signifie pour votre liens and internal architecture.

Première publication : 27 juin 2026 · Dernière mise à jour : 3 août 2026 · Advanced
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PageRank is the recursive link-graph model Larry Page and Sergey Brin publié at Stanford: une page's score dépend on the score of lune pages linking to it, and in the publié model chaque page splits its score à travers its outbound liens ("links are votes" is the simplified façon to dire que). The public Toolbar score died in 2016, but Google's ranking systems guide encore listes PageRank as un of its core ranking systems, evolved from the original. Leak-based reporting on Google's 2024 API leak décrit au moins seven internal PageRank-related fields, though Google hasn't confirmed ce que chaque un fait; practitioners (notamment ce author) believe it aussi factors into budget d’exploration and canonicalization, though Google hasn't documented que directement. The Reasonable Surfer patent describes a model où pas tout liens are weighted equally, but that's a patent, pas a confirmed current production weighting. Nofollow sculpting has been dead since 2009, and Google dit 30x redirections ne ... plus lose PageRank. There's aucun public score anymore; third-party metrics comme Ahrefs' URL Rating are proxies, pas PageRank itself.

TL;DR — PageRank is a recursive graph model: une page’s score is the probability a “random surfer” lands on it by suivant liens, and que score dépend on the scores of lune pages linking to it. In the publié model, chaque page splits its PageRank à travers its outbound liens, and the calculation runs iteratively jusqu’à it converges. The original 1998 algorithm was replaced internally autour 2006, the Reasonable Surfer patent describes a model où pas tout liens réussir equal valeur (a patent claim, pas a confirmed current weighting), and the public Toolbar score died in 2016. Google encore listes PageRank as a core ranking system; leak-based reporting on Google’s 2024 API leak décrit au moins seven internal PageRank-related fields, and practitioners (ce author inclus) believe PageRank aussi factors into budget d’exploration and canonicalization — though Google hasn’t documented que lien directement. Nofollow sculpting has been dead since 2009; Google dit 30x redirections ne … plus lose PageRank.

Ce que PageRank en réalité is

PageRank is a mathematical link-analysis model, pas a public toolbar score or a complet account of modern ranking. Evidence for this claim Official or primary documentation supporting the adjacent article claim, with scope limited to the source's published description. Scope: No ranking guarantee or undisclosed system mechanics are inferred beyond the cited source. Confidence: high · Verified: Stanford: PageRank paper Google’s current documentation confirms continued utiliser sans disclosing live weights or per-page valeurs. Evidence for this claim Official or primary documentation supporting the adjacent article claim, with scope limited to the source's published description. Scope: No ranking guarantee or undisclosed system mechanics are inferred beyond the cited source. Confidence: high · Verified: Google: Ranking systems guide

PageRank is a link-analysis algorithm Larry Page and Sergey Brin developed at Stanford entre 1996 and 1998. The nom is a double meaning — it’s named après Larry Page, and it ranks web pages. It treats the web as a graph and inbound hyperlinks as votes, alors assigns every page a score representing the probability que a random surfer — someone clicking liens at random, occasionally jumping to a random page — ends up on que page.

Ce que follows is the publié, historical model from the 1999 Stanford paper — it’s the model Google has confirmed evolved since (voir “Does Google still use PageRank?” ci-dessous), so treat the formula and the worked exemple as how the original public algorithm worked, pas a live description of Google’s current internal computation.

The formula from the original paper:

PR(A) = (1-d)/N + d * (PR(B)/L(B) + PR(C)/L(C) + PR(D)/L(D) + …)
  • d — the damping factor, typically 0,85: the probability the surfer garde clicking plutôt que jumping to a random page.
  • N — total number of pages.
  • L(x) — number of outbound liens on page x.
  • PR(x) — lune pageRank of page x.

A few choses fall out of que formula. Votre pageRank dépend on lune pageRank of the pages linking to vous — qui is pourquoi it’s recursive and has to be computed iteratively jusqu’à the numbers converge. Chaque linking page divides its PageRank à travers tout its outbound liens, so every supplémentaire outbound lien dilutes the share chaque lien passes. And the damping factor — 0,85 — models a 15% chance at chaque step que the surfer abandons the chain and starts fresh, qui is ce que garde the math from collapsing into “rank sinks” (pages with aucun outbound liens).

A simplified worked exemple (illustrative seulement — a toy graph to montrer the mechanics, pas a réel site or a Google computation): dire pages B, C, and D chaque lien seulement to page A, and chaque of B, C, and D has une pageRank of 1 with un outbound lien apiece (so chaque passes its complet score to A). With N = 4 and d = 0.85:

PR(A) = (1 - 0.85)/4 + 0.85 * (1/1 + 1/1 + 1/1) = 0.0375 + 2.55 = 2.5875

Que unique réussir montre the mechanics — every linking page’s score, divided by its outbound-link count, feeds A’s score — but a réel computation iterates ce à travers every page on the web jusqu’à the scores arrêter modification, qui is ce que “converges” signifie ci-dessous.

Un nuance almost nobody mentions, and que I dug into in The Evolution Of Google PageRank: the formula as publié in the original paper contient a mathematical error. The leading constant is written as (1-d) quand it devrait be (1-d)/N — divided by the total number of pages — pour the probabilities to en réalité sum to 1. It’s a petit chose, but it’s a fun reminder que même foundational papers ship with bugs.

Pas tout liens are equal — the Reasonable Surfer

The original model assumed a random surfer clicking every lien with equal probability. The Reasonable Surfer patent (filed 2004, granted 2010, mis à jour 2016) describes a différent approach: a surfer who is plus probable to click some liens que others, so ceux liens voudrait réussir plus PageRank. A patent describes ce que Google claimed as a méthode it pourrait utiliser — it isn’t proof of the exact weights or logic running in production today, and Google hasn’t publié a current, itemized liste of ce que “counts.” Treat the fonctionnalités ci-dessous as the patent’s décrit possibilities, pas verified production weights:

  • Lien position — principal content beats sidebar beats footer.
  • Anchor text — plus long, plus informative, plus relevant anchors.
  • Visual prominence — font size, styling, ci-dessus- vs. below-the-fold.
  • Lien target — topical alignment entre source and destination.
  • Réel click données — how souvent utilisateurs really click que lien.

The practical takeaway, fondé on ce que the patent describes: a lien in the corps of a high-authority page is plausibly worth plus que the même lien stuffed in que page’s footer. Pursue editorial, in-content liens — the kind a réel person voudrait en réalité click — as a reasonable hedge même sans confirmed current weights.

A short history

  • 1996–1998 — developed at Stanford. (Worth noting pour accuracy: Robin Li, plus tard Baidu’s founder, patented a similaire link-ranking idea, RankDex, in 1996.)
  • 1998 — patent filed (January 9, 1998); the paper follows.
  • ~2000 — the Google Toolbar exposes a public 0–10 score (logarithmic scale).
  • ~2006 — the original algorithm is replaced internally with a faster, moins resource-intensive version.
  • 2009 — Google changements how nofollow fonctionne, killing PageRank sculpting (voir Myths).
  • 2013 — dernier public Toolbar PageRank mettre à jour (December).
  • 2016 — Toolbar PageRank supprimé entirely; Gary Illyes aussi confirms 30x redirections ne … plus lose PageRank.
  • 2017 — Illyes confirms it’s encore in utiliser: “après 18 années we’re encore en utilisant PageRank.”
  • 2019 — the original patent expires (September 24, 2019).
  • 2024 — the Google API leak reveals au moins seven PageRank variants; the mis à jour SEO Starter Guide confirms PageRank is encore active.

Fait Google encore utiliser PageRank? Yes.

Ce is the question personnes en réalité demander, and the evidence is unambiguous. Google’s ranking systems guide dit PageRank is “one of our core ranking systems used when Google first launched” and que “it continues to be part of our core ranking systems.” Removing the Toolbar score in 2016 supprimé a afficher, pas the algorithm.

In May 2024, an anonymous source leaked thousands of internal Recherche Google API documentation fichiers; SparkToro publié the original report and Moteur de recherche Land followed with plus loin analysis. Google jamais confirmed or explained the leaked field noms — ce que follows is the industry’s interpretation of ce que ceux fields are probable to be, pas a Google-published specification:

FieldProbable meaning (per leak analysis, pas Google-confirmed)
rawPagerankThe unprocessed base valeur from the lien graph
pageRank2An mis à jour/modified version
pageRank_NS”Nearest seed” — distance from trusted seed sites; tied to document understanding; reportedly deprecated
firstCoveragePageRankLune pageRank quand Google premier découvert lune page
ToolBarPageRankThe old public toolbar score — stored, pas mis à jour

The même leak coverage décrit a lien quality tier system (low / medium / élevé) que reportedly determines si PageRank and anchor signals flow via a lien at tout, with click données (NavBoost) feeding into qui tier a lien lands in — à nouveau, ce is leak-based reporting, pas something Google has documented directement. Si accurate, a low-tier lien may réussir nothing. Pour my propre lire on the canonicalization side of ce, voir my canonicalization guide — que piece is practitioner analysis, pas a Google specification soit.

Au-delà ranking — PageRank’s autre jobs (practitioner analysis)

PageRank probably isn’t seulement a ranking input, but I vouloir to be precise à propos de what’s confirmed and ce que isn’t: Google’s propre documentation doesn’t explicitly nom PageRank as a crawl-budget or canonicalization input. Ce que follows is practitioner analysis — mine, in The Evolution Of Google PageRank — inferred from Google’s crawl-demand and canonicalization documentation plus general statements à propos de page importance, pas a direct Google confirmation:

  • A probable crawl-budget factor. Google’s crawl-demand documentation ties exploration frequency to une page’s perceived importance/popularity in its index, sans naming PageRank specifically; the courant practitioner reading is que plus pages importantes — plus élevé PageRank — obtenir crawled plus frequently. Ce connects to budget d’exploration and explorer frequency elsewhere in ce cluster.
  • A plausible canonicalization signal. Quand Google picks a canonical from a cluster of duplicates, it weighs roughly 40 signals it hasn’t entièrement enumerated publicly; lien authority is understood to be un input, and the practitioner inference is que higher-PageRank pages are plus probable to be choisi as the canonical. Que inference isn’t independently confirmed by Google.

In 2023, Gary Illyes said liens are pas in his top three ranking factors and “hasn’t been for some time.” At SERPconf 2024 he went plus loin — “We need very few links to rank pages” — and alors, as I noted from the room, immédiatement walked it back (“I definitely shouldn’t have said that”). John Mueller has similarly said the weight on liens va drop off over temps and que vous devezn’t over-focus on lien counts.

The honest lire: liens matter moins que ils utilisé to pour well-established sites, but they’re encore foundational — pour establishing authority, pour explorer priority, and pour canonicalization. “Less decisive” n’est pas “irrelevant.”

Ce que cela signifie pour votre SEO

  • Earn liens from genuinely authoritative, on-topic pages. The recursive math signifie un lien from a strong, relevant page beats nombreux from weak ones.
  • Chase editorial, in-content liens. Reasonable Surfer logic: pursue liens a réel utilisateur voudrait en réalité click, in the corps, pas the footer.
  • Treat maillage interne as PageRank plumbing. Votre architecture decides how PageRank flows to votre money pages — garder pages importantes well-linked and shallow.
  • Don’t sculpt with nofollow. It’s been broken since 2009 — nofollowed PageRank evaporates plutôt que redistributing.
  • Don’t fear 30x redirections. Aucun PageRank loss since 2016.
  • Éviter lien schemes. Low-quality liens peut be tiered “low” and réussir aucun signal at tout — wasted effort at meilleur.

Où ce fits

PageRank is pourquoi exploration and linking matter in the premier placer, qui is pourquoi it sits in the exploration sub-cluster. Pour the discovery and récupérer side, voir exploration, budget d’exploration, and explorer frequency; pour how it shapes qui URL Google garde, voir canonicalization. Pour the broader picture, voir How Search Fonctionne.

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