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.
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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 Google’s original façon of scoring how important une page is, fondé on who liens to it. Liens are votes — and a vote from a popular page counts plus que a vote from a nobody. Google killed the public PageRank score in 2016, but it encore uses the algorithm behind the scenes.
Ce que PageRank is
The original PageRank paper describes a link-analysis méthode fondé on the web’s lien graph. 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 dit lien analysis systems, notamment PageRank, remain partie of its core ranking systems alongside nombreux autre signals. 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
Back in the late 1990s, two Stanford students — Larry Page and Sergey Brin — had an idea: vous pourrait figure out qui web pages are important by looking at the pattern of qui pages lien to les — une page lié to by pages importantes is itself important, and que importance flows recursively via the whole lien graph. Ils appelé it PageRank (named après Larry Page, with a pun on web “pages”).
The simple, non-technical façon to dire que: liens are votes. Si lots of pages lien to vous, that’s a sign votre page is worth something. But pas tout votes count the même — a lien from a hugely important page is worth far plus que a lien from an unknown un. And in the model as publié, there’s a catch: chaque page seulement has so beaucoup voting power to give, and it obtient split à travers every lien on lune page. Lien to 100 choses and chaque lien passes a tiny sliver; lien to 3 choses and chaque obtient a bigger share.
”I thought Google got rid of PageRank?”
Pour années, vous pourrait voir une page’s PageRank as a 0-to-10 score in the Google Toolbar. Google stopped updating que score in 2013 and supprimé it complètement in 2016. A lot of personnes took que to mean PageRank was dead.
It isn’t. Google supprimé the public afficher — pas the algorithm. Google encore listes PageRank as un of its core ranking systems, and a big 2024 leak of internal Google documents showed several versions of PageRank encore in utiliser.
Ce que cela signifie pour vous
- Earn liens from bon, relevant pages. A few liens from genuinely authoritative, on-topic sites beat a pile of liens from junk.
- Où a lien sits matters. A lien in the principal corps of an article is worth plus que un buried in the footer (plus on ce in the Avancé version).
- Lien internes matter aussi. How vous lien entre votre propre pages decides où votre PageRank flows à l’intérieur votre site.
- Don’t obsess over a number. There’s aucun public score anymore. Outils comme Ahrefs’ URL Rating estimate it, but aucun third-party number is the réel PageRank.
Vouloir the formula, the Reasonable Surfer model, the complet history, and ce que the 2024 leak en réalité revealed? Switch to the Avancé tab.
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 pagex.PR(x)— lune pageRank of pagex.
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 = 2.5875Que 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:
| Field | Probable meaning (per leak analysis, pas Google-confirmed) |
|---|---|
rawPagerank | The unprocessed base valeur from the lien graph |
pageRank2 | An mis à jour/modified version |
pageRank_NS | ”Nearest seed” — distance from trusted seed sites; tied to document understanding; reportedly deprecated |
firstCoveragePageRank | Lune pageRank quand Google premier découvert lune page |
ToolBarPageRank | The 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.
”Links are less important now” — the nuance
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.
AI summary
A condensed prendre on the Avancé version:
- PageRank = a recursive link-graph algorithm (Page & Brin, Stanford, 1996–1998). Named après Larry Page. Une page’s score is the probability a “random surfer” lands on it, and it dépend on the scores of lune pages linking to it — “links are votes” is the simplified version of que.
- The publié, historical formula:
PR(A) = (1-d)/N + d * Σ(PR(x)/L(x)). Damping factord ≈ 0.85. In ce model, chaque page splits its PageRank à travers its outbound liens, so plus outbound liens = moins per lien. It’s recursive and computed iteratively — ce describes the original public algorithm, pas a confirmed description of Google’s current internal computation. - The publié paper has a math error — the constant devrait be
(1-d)/N, pas(1-d). - Reasonable Surfer patent (2004/2010): describes a model où liens pourrait be weighted by position, anchor text, visual prominence, topic, and réel click données — corps liens plausibly outrank footer liens. It’s a patent claim, pas confirmed production weights.
- History: Toolbar 0–10 score launched ~2000, original algorithm replaced ~2006, dernier public mettre à jour 2013, Toolbar supprimé 2016, patent expired 2019.
- Encore active: Google’s ranking systems guide listes it as a core ranking system
that’s evolved since launch. Leak-based reporting on the 2024 API leak décrit ≥7
internal fields (
rawPagerank,pageRank2,pageRank_NS,firstCoveragePageRank,ToolBarPageRank) plus a low/medium/élevé link-quality tier system — reporters’ interpretation of leaked noms, pas a Google-confirmed spec. - Practitioner analysis liens it to budget d’exploration (plus élevé PR → crawled plus, plausibly) and canonicalization (un of ~40 signals) — inferred from Google’s documentation, pas stated by Google directement.
- Practical: earn authoritative, on-topic, in-content liens; treat maillage interne as PageRank plumbing; nofollow sculpting is dead (2009); Google dit 30x redirections don’t lose PageRank (2016); aucun public score — third-party metrics comme Ahrefs URL Rating are proxies, pas PageRank, and guarantee nothing.
Documentation officielle
Primary-source documentation and original références.
- Ranking Systems Guide — listes PageRank as a “core ranking system” que “continues to be part of our core ranking systems.”
- How Search Fonctionne — Ranking results — liens from prominent sites as a quality/trust signal.
- Optimize votre budget d’exploration — the crawl-capacity + crawl-demand model PageRank feeds into.
- Matt Cutts — PageRank sculpting — pourquoi nofollow sculpting doesn’t fonctionner après the 2009 modifier.
- Matt Cutts — Plus info on PageRank.
The original research
- PageRank — Wikipedia — the formula, history, and références to “The PageRank Citation Ranking: Bringing Order to the Web” (Page, Brin, Motwani, Winograd, 1999).
- Stanford CS54N handout — the Google PageRank algorithm — a clean walkthrough of the math.
The Reasonable Surfer patent
- Google’s Reasonable Surfer (SEO by the Sea) — Bill Slawski’s analysis of US 7 716 225.
Quotes from the source
On-the-record statements from Google. Chaque lien jumps to the quoted passage où the source page supports it.
Google — PageRank is encore a core ranking system
- “Among these is PageRank, one of our core ranking systems used when Google first launched… How PageRank works has evolved a lot since then, and it continues to be part of our core ranking systems.” — Recherche Google Central, Ranking Systems Guide. Jump to quote
Google — liens as a quality signal
- “One of the factors used to determine quality is understanding if other prominent websites link or refer to the content. This is generally a good sign that the information is trustworthy.” — Google, How Search Fonctionne. Jump to quote
Gary Illyes, Google — encore in utiliser après 18 années
- “DYK that after 18 years we’re still using PageRank (and 100s of other signals) in ranking?” Lire the post (tweet renders via JavaScript and resists automated checking; reproduced from Moteur de recherche Land’s verbatim coverage — confirmer contre the live post.)
Gary Illyes, Google — 30x redirections
- “30x redirects don’t lose PageRank anymore.” Lire the coverage (relayed via Moteur de recherche Land’s reproduction of Illyes’ 2016 statement.)
Gary Illyes, Google — liens pas in the top three
- “I think they [links] are important, but I think people overestimate the importance of links… I don’t agree it’s in the top three. It hasn’t been for some time.” Lire the coverage (relayed via Moteur de recherche Land.)
Matt Cutts, Google — let PageRank flow
- “I wouldn’t recommend it, because it isn’t the most effective way to utilize your PageRank… I would let PageRank flow freely within your site.” Lire the post
John Mueller, Google — don’t fixate on lien counts
- “My recommendation would be not to focus so much on the absolute count of links… over-focusing on links will often result in wasting time on things that don’t improve your site.” Lire the coverage (relayed via Moteur de recherche Land.)
Lien interne-equity audit
Vous pouvez’t contrôler who liens to vous, but vous entièrement contrôler how PageRank flows à l’intérieur votre propre site. Run ce réussir whenever vous launch, restructure, or reprioritize pages:
- Every priority (“money”) page is reachable from somewhere crawlable — aucun orphan pages with zero lien internes pointing to les.
- Priority pages sit shallow in the architecture (a handful of clicks from the homepage, pas buried ten levels deep in a category tree).
- Priority pages obtenir liens from genuinely high-authority pages on votre propre site — pas simplement a unique footer or sidebar mention.
- Liens to priority pages apparaître in principal corps content, pas seulement in nav chrome — Reasonable Surfer weights in-content liens plus élevé.
- Anchor text on lien internes is descriptive, pas generic (“click here”, “read more”).
-
nofollowisn’t being utilisé to essayer to “sculpt” internal PageRank onto autre liens — that’s been broken since 2009; utiliser it seulement pour genuinely untrusted or paid liens. - Internal chaîne de redirectionss are flattened to a unique hop (chaque supplémentaire hop is un autre placer pour signal to obtenir lost or delayed).
- Balise canonicals on near-duplicate pages point to the version vous en réalité vouloir to accumulate authority — don’t split popularité des liens à travers near-duplicates with aucun canonical signal.
- XML sitemap and internal nav don’t route equity toward low-value pages (internal résultats de recherche, filtered/faceted URLs, thin tag pages) at the expense of pages vous vouloir to rank.
The mental models
1. Liens are weighted votes — and the pie is finite. Une page’s PageRank is split à travers its outbound liens. A lien from a strong page passes a big slice; que même page linking to 200 choses passes thin slivers. Quality of the linking page and how nombreux liens it has les deux matter.
2. It’s recursive, so authority compounds. Votre pageRank dépend on lune pageRank of lune pages linking to vous, qui dépend on the pages linking to les. Ce is pourquoi a unique lien from a genuinely authoritative, on-topic page peut outweigh dozens of weak ones.
3. The Reasonable Surfer — pas tout liens on une page are equal. Weight by probable clicks: main-content > sidebar > footer; informative anchors > generic; prominent > buried. Earn the liens a réel person voudrait en réalité click.
4. PageRank probably fait plus que un job. Ranking is confirmed by Google; budget d’exploration (plus élevé PR → crawled plus) and canonicalization (higher-PR pages favored as canonical) are practitioner inferences from Google’s autre documentation, pas choses Google states à propos de PageRank directement. Improving une page’s authority plausibly moves tout three.
5. Maillage interne is PageRank plumbing. Vous pouvez’t modifier who liens to vous overnight, but vous entièrement contrôler how PageRank flows à l’intérieur votre site. Garder pages importantes shallow and well-linked; don’t strand les.
PageRank cheat sheet
The formula
PR(A) = (1-d)/N + d * ( PR(B)/L(B) + PR(C)/L(C) + … ) — d (damping) ≈ 0,85,
N = total pages, L(x) = outbound liens on page x. (The original paper printed the
constant as (1-d); it devrait be (1-d)/N.)
The 2024 leak — PageRank variants
| Field | Ce que c’est |
|---|---|
rawPagerank | Base valeur from the lien graph |
pageRank2 | An mis à jour/modified version |
pageRank_NS | ”Nearest seed”; document understanding; reportedly deprecated |
firstCoveragePageRank | PR quand premier découvert |
ToolBarPageRank | Old public score — stored, pas mis à jour |
(Au moins seven variants total were referenced.)
Fast facts
- Named après Larry Page (pun on web pages).
- Public Toolbar score: 0–10, logarithmic — dernier mis à jour Dec 2013, supprimé 2016.
- Original algorithm replaced internally ~2006.
- Original patent expired Sept 24, 2019.
- Encore a core ranking system per Google’s ranking systems guide.
- 30x redirections don’t lose PageRank (2016).
- Nofollow sculpting is dead (2009) — nofollowed PageRank evaporates.
Aucun public score — third-party proxies: Ahrefs URL Rating (page-level, designed to approximate PageRank) and Domain Rating (site-level), Moz Domain Authority, Majestic Trust Flow / Citation Flow. Ces are vendor models construit on chaque vendor’s propre lien index, pas measurements of Google’s réel PageRank, and none are utilisé by Google or guarantee quelconque exploration, indexation, ranking, trafic, or AI-citation outcome.
PageRank myths, debunked
Myth: “Google no longer uses PageRank.” Google supprimé the public afficher in 2016, pas the algorithm. Its ranking systems guide encore listes PageRank as a core ranking system, and leak-based reporting on the 2024 API leak décrit au moins seven internal PageRank-related fields — though Google itself hasn’t confirmed or explained ceux fields.
Myth: “Nofollow sculpting conserves link equity.” Dead since 2009. Nofollowed liens don’t redirection leur PageRank to autre liens — it evaporates. Utiliser nofollow pour untrusted/paid/UGC liens, pas as an internal PageRank lever.
Myth: “301 redirects lose PageRank.” Pas anymore. Gary Illyes confirmed in 2016 que 30x redirections don’t lose PageRank.
Myth: “Every link on a page passes equal value.” The Reasonable Surfer model weights liens by position, anchor text, prominence, and click données. A corps lien beats a footer lien.
Myth: “More links always means more PageRank passed.” Reporting on the 2024 leak décrit lien quality tiers (low/medium/élevé) — pas confirmed by Google. Si accurate, low-tier liens may réussir nothing, with click données influencing the tier.
Myth: “PageRank is the same as Domain Rating / Domain Authority.” Ceux are third-party proxies construit parce que aucun page publiqueRank exists. Ahrefs URL Rating is designed to approximate PageRank, but none of ces metrics are utilisé by Google.
Myth: “PageRank only matters for ranking.” Practitioner analysis (mine inclus) aussi liens it to budget d’exploration (plus élevé PR → crawled plus souvent, plausibly) and canonicalization (higher-PR pages plausibly favored as canonical) — reasonable inferences from Google’s explorer and canonicalization documentation, but pas something Google states à propos de PageRank directement.
Myth: “PageRank is a 0–10 score.”
Que was the public Toolbar (logarithmic). Internal PageRank is a probability
distribution; même the leaked pageRank_NS uses its propre scale.
Outils que approximate PageRank
There’s aucun page publiqueRank score, so ces are proxies — utile pour relative comparison, pas literal PageRank:
- Ahrefs URL Rating (UR) — page-level lien strength on a 0–100 scale, designed to approximate page-level PageRank en utilisant Ahrefs’ propre lien index.
- Ahrefs Domain Rating (DR) — site-level lien strength.
- Moz Domain Authority (DA) — Moz’s site-level link-based score.
- Majestic Trust Flow / Citation Flow — quality (TF) and quantity (CF) of liens.
- Internal-link outils (Ahrefs Site Audit, Screaming Frog) — map how popularité des liens flows à l’intérieur votre site so vous pouvez spot under-linked money pages and orphan pages.
Remember: none of ces are Google’s PageRank, none are utilisé by Google, and none of les guarantee exploration, indexation, rankings, trafic, or AI-search citations. They’re vendor models construit on chaque vendor’s propre lien index — utile pour relative, within-tool comparison, pas a stand-in pour Google’s réel, unpublished PageRank valeur.
The standing KPI pour internal popularité des liens
There’s aucun façon to mesurer Google’s réel PageRank — aucun public score, aucun API. So the honest standing KPI ici isn’t “PageRank” itself; it’s how bien votre internal linking is distributing the authority vous do have toward lune pages vous vouloir to rank. Track the distribution, pas a fake absolute number.
Orphan and under-linked priority pages
- Metric — Count of priority pages with zero, or very few, lien internes pointing to les.
- Ce que it indique vous — An orphan or thinly-linked priority page can’t recevoir beaucoup internal PageRank aucun matter how strong votre site’s overall authority is — it’s structurally starved.
- How to pull it — Explorer le site with Screaming Frog or Ahrefs Site Audit and cross-reference the explorer contre votre XML sitemap and page liste; les deux outils flag orphan pages and report an “Inlinks” count per URL.
- Benchmark / realistic range — Aucun universal target — it dépend entirely on votre site size and architecture. Establish votre propre baseline (how nombreux lien internes votre current top-ranking pages obtenir) and treat zero or near-zero as the échec state to fix premier.
- Cadence — Après every migration, launch, or nav/template modifier; quarterly sinon.
Click depth to priority pages
- Metric — How nombreux clicks a priority page sits from the homepage in votre site’s lien interne graph.
- Ce que it indique vous — Click depth is a practical proxy pour PageRank flow — pages closer to the homepage and autre high-authority hubs généralement recevoir plus of the authority ceux pages réussir along.
- How to pull it — Screaming Frog’s crawl-depth report, or Ahrefs Site Audit’s “Page Depth” distribution.
- Benchmark / realistic range — Situational, pas a fixed number — shallower is généralement meilleur, but the correct depth dépend on votre site’s size and category structure. Comparer priority pages contre votre site’s propre median depth plutôt que an invented industry figure.
- Cadence — Quarterly, and immédiatement après quelconque restructuring of nav or categories.
Lien interne-equity proxy trend (URL Rating)
- Metric — Ahrefs URL Rating (UR) pour votre priority pages over temps — a third-party proxy designed to approximate page-level PageRank (pas a measurement of it), and un que responds to maillage interne changements as bien as external liens.
- Ce que it indique vous — A rising UR on a priority page, with aucun nouveau external liens, is a signal que lien interne changements are successfully routing plus authority to it. A flat or falling UR despite internal-link fonctionner suggests the changements aren’t reaching que page.
- How to pull it — Ahrefs Site Explorer or Site Audit, tracked per-URL.
- Benchmark / realistic range — Aucun fixed target — UR is a relative, site-specific proxy, pas Google’s réel PageRank. Track votre propre priority pages’ trend line plutôt que chasing a round number.
- Cadence — Monthly is suffisant; UR doesn’t déplacer fast suffisant to justify checking plus souvent.
Testez vos connaissances: PageRank
Five rapide questions on how PageRank fonctionne and où it stands today. Pick an réponse pour chaque, alors vérifier.
Ressources utiles
My PageRank writing
- The Evolution Of Google PageRank — my definitive piece: the formula error, the ~2006 replacement, PageRank as a crawl-budget and canonicalization signal, and URL Rating as the modern proxy.
- Canonicalization — où PageRank montre up as un of ~40 canonicalization signals.
My speaking
- I shared lune pageRank deep dive on LinkedIn — the current state of Google PageRank.
From autour the industry
- Lune pageRank Citation Ranking: Bringing Order to the Web — Wikipedia overview — the original Page/Brin/Motwani/Winograd paper and the formula.
- Google’s Reasonable Surfer (SEO by the Sea) — Bill Slawski on qui lien fonctionnalités modifier a link’s valeur.
- An anonymous source shared thousands of leaked Recherche Google API documents (SparkToro) — Rand Fishkin’s original report on the 2024 leak.
- Unpacking Google’s massive search documentation leak (Moteur de recherche Land) — lune pageRank variants and link-tier findings.
- Matt Cutts — PageRank sculpting — pourquoi nofollow sculpting stopped working après 2009.
- Are backlinks encore important pour le SEO? (Moteur de recherche Land) — the Illyes/Mueller statements on liens being overestimated.
- Stanford CS54N — the Google PageRank algorithm (PDF) — a clean walkthrough of the math.
Journal des modifications
Mis à jour le 18 juil. 2026.
Résumé éditorial et détails enregistrés des changements.Détails des changements
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Les notes détaillées des changements sont actuellement disponibles en anglais.
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Les notes détaillées des changements sont actuellement disponibles en anglais.
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Les notes détaillées des changements sont actuellement disponibles en anglais.
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Les notes détaillées des changements sont actuellement disponibles en anglais.
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Les notes détaillées des changements sont actuellement disponibles en anglais.
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Les notes détaillées des changements sont actuellement disponibles en anglais.
Comparaison complète indisponible — aucun instantané antérieur n’a été archivé pour cette révision.