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Infographic + interactive tool
How Link Juice Flows

Google’s original PageRank formula, redrawn as buckets, pipes and valves. Read the guide, then pour some authority of your own and watch where it goes.

PAGE A80PAGE B34PAGE C34
0.85
damping factor from the 1998 paper
15%
of value never enters the pipes
16.4
Page H, fed by two links
0.29
per link in a 100-link directory
Every link on the web is a little pipe. When one page links to another, it pours part of its ranking value through that pipe, and SEOs have a name for what comes out the other end: link juice.

This infographic turns Google’s original PageRank formula into buckets, pipes and valves, so you can see exactly where that value goes, where it pools and where it leaks. Below, we walk through every part of it. And whenever you’d rather stop reading and start pouring, the playground lets you build the same diagram with your own pages.

1The Infographic

How Link Juice Flows: A Visual Guide to PageRank
Click the infographic to open it full size.
Seen enough buckets? Make your own. Build Your Own Buckets

2The Big Idea: Buckets, Pipes and Valves

The whole graphic runs on one metaphor. Learn these three pieces and you can read any part of it at a glance.

Bucket = a page
The water level shows how much value the page holds, on a scale of 0 to 100.
Pipe = a link
The thicker the stream inside, the more value that link carries to the next page.
Red valve = nofollow
A nofollow link still takes its share of the split, but only a drip may get through.
Grab a bucket and start pouring
Drop in pages, connect the pipes and watch the water levels change with every link you draw.

3Walking Through the Diagram

Twelve buckets, one rule. Here’s how the value moves from the top of the diagram to the bottom.

Everything starts with Page A, a strong page holding 80 units of value it earned from links outside the diagram. Page A links to two pages, so it splits its value two ways.

But not all 80 flows. PageRank uses a damping factor of 0.85, so only 85% of a page’s value travels through its links. The other 15% goes to random jumps spread across the whole web.

So Page A sends 80 × 0.85 = 68 through its pipes, 34 to each page. The remaining 12 never enters the pipes at all.

value passed = page value × 0.85 ÷ number of outbound links
PipeMathValueFlow
A to B and C80 × 0.85 ÷ 234
B to D34 × 0.85 ÷ 128.9
C to E, F and N34 × 0.85 ÷ 39.6
D to G and H28.9 × 0.85 ÷ 212.3
E to H and I9.6 × 0.85 ÷ 24.1
H, two links in12.3 + 4.116.4
F to J9.6 × 0.85 ÷ 18.2
C to N (nofollow)about 10% of 9.6~1
N to K~1 × 0.85 ÷ 1~0.8

The bottom row (G, H, I, J and K) are dangling pages. They collect value but don’t pass any further.

Don’t just take our word for the math
Load the example in the playground, click any bucket and see exactly which pipes fed it and how much each one carried.

4What the Pipes Teach Us

The four numbered markers on the diagram each point to a lesson about how link equity behaves.

1Split
Same value, different split
Pages B and C both hold 34. B has one outbound link, so D receives 28.9. C has three, so each link gets just 9.6.
34 × 0.85 ÷ 3 ≈ 9.6
2Sum
Incoming links add up
Page H has two links pointing at it, from D and from E. Its value is the sum of both streams.
12.3 + 4.1 = 16.4
3Nofollow
Nofollow is a hint
Google generally excludes nofollow links from ranking, but since 2019 it treats the attribute as a hint. There’s no published pass-through rate, so our 10% is purely illustrative.
about 10% of 9.6 ≈ 1
4Scale
More links, smaller share
Picture Page C as a directory with 100 outbound links. The more pipes a bucket feeds, the thinner each stream gets.
34 × 0.85 ÷ 100 ≈ 0.29
Turn the valve and see what happens
Switch the nofollow link on Page C back to a regular link and watch Pages N and K fill up. Then add more links to C and watch every stream shrink.

5What This Means for Your Site

You’ll never see Google’s real numbers, but the patterns in the diagram hold up. Here’s how they translate into everyday SEO decisions.

Link context matters
A relevant, strong page with fewer outbound links may pass a larger share than a busy page that links everywhere. Where a link sits matters as much as who gives it.
Connect key pages
Link from related pages to your most important content, with clear, descriptive anchor text. Your strongest pages are your best water source.
Keep internal links open
Use regular, crawlable links between your own pages. Nofollowing internal links doesn’t redirect value anywhere. Since 2009, that share is simply lost.
Choose directories carefully
A crowded directory splits its value across hundreds of links, so each one carries very little. Relevance and quality matter far more than volume.
Map your own site in five minutes
Rename the buckets to your homepage, blog and product pages, then draw the links you actually have. You’ll see which pages are running dry.

6The PageRank Formula, Piece by Piece

The buckets are a simplified picture of the real thing. Here’s the full update rule the infographic is based on.

The PageRank update rule
PR(u) = (1 − d) · vu + d · Σw→u PR(w) ÷ L(w) + d · vu · Σz dangling PR(z)
Random jumpFlow through linksDangling page fix

It looks intimidating, but it’s three simple ideas added together. Click through each part:

  • Random jump
  • (1 − d) · vu

    The surfer doesn’t always click links. With d = 0.85, they jump to a random page 15% of the time. vu is page u’s slice of those jumps. In the infographic, this is the 15% that never enters the pipes.

  • Flow through links
  • d · Σ PR(w) ÷ L(w)

    This is the part the buckets show. For every page w that links to u, take its PageRank, multiply by 0.85 and divide by its number of outbound links, L(w). Add up all those streams and you get the water flowing into page u. Every pipe in the diagram is one of these terms.

  • Dangling page fix
  • d · vu · Σ PR(z)

    Dangling pages, like the bottom row of buckets, have no outbound links, so the surfer gets stuck there. The formula takes the value sitting on those dead ends and hands it back out like a random jump, so none of it disappears.

  • Putting it together
  • Each pass, a page’s score = its slice of random jumps + value flowing in through links + its slice of the dead-end pages.

    Repeat that for every page until the numbers stop changing. That loop is called power iteration, and it’s exactly what the playground runs every time you add a page or flip a valve.

    PageRank can be thought of as a model of user behavior. We assume there is a “random surfer” who is given a web page at random and keeps clicking on links, never hitting “back” but eventually gets bored and starts on another random page.

    Sergey Brin and Lawrence Page, The Anatomy of a Large-Scale Hypertextual Web Search Engine (1998)
    Want to see the formula move?
    ×

    The formula, as buckets


    The playground runs this exact update rule on a graph you control. Every pipe is a d · PR(w) ÷ L(w) term, every bucket is a PR(u) and every bottom-row bucket is a dangling page. Change one link and the whole system recalculates until it settles, just like power iteration.


    Watch It Flow Live

    7Before PageRank, Search Was Easy to Fool

    In the ’90s, search engines like AltaVista, Lycos and Excite ranked pages mostly on what the page said about itself: keyword counts, title tags and meta keywords. The result was easy to game, and pages stuffed with repeated words and hidden text filled the top results.

    PageRank changed the question. Think of it like academic research, which is where Larry Page got the idea. Anyone can call their own paper groundbreaking. What matters is how often other researchers cite it, and a citation in a top journal outweighs dozens from obscure ones. PageRank treated links the same way, so a page earned its rank through the respect of others, not its own claims.

    1996
    BackRub begins at Stanford
    Larry Page and Sergey Brin start a research project that ranks pages by the links pointing to them. It becomes Google.
    1998
    PageRank is published
    Brin and Page describe the formula, with the damping factor usually set to 0.85.
    2005
    rel="nofollow" arrives
    Google, Yahoo and MSN introduce nofollow to fight blog comment spam.
    2009
    PageRank sculpting stops working
    Google confirms a nofollow link still counts in the split, but its share is lost instead of going to the page’s other links.
    2016
    Toolbar PageRank disappears
    Google stops showing public scores, though PageRank remains part of how it ranks pages.
    2019
    Nofollow becomes a hint
    Google adds rel="sponsored" and rel="ugc" and treats all three attributes as hints rather than strict rules.
    The 1998 idea still runs on the same math
    Twenty-eight years later, value still flows through links. Run Brin and Page’s rule on a graph you build yourself.

    8How Much Juice Do Big Brands Have?

    Google stopped showing PageRank in 2016, so the closest public stand-in is Open PageRank . These scores come from its September 2026 release.

    PR10
    Google.com
    9.99
    Facebook.com
    9.96
    YouTube.com
    9.87
    PR9
    CNN.com
    9.15
    Netflix.com
    8.98
    eBay.com
    8.95
    PR8
    McDonalds.com
    8.40
    Costco.com
    8.24
    Toyota.com
    8.23
    PR7
    TaylorSwift.com
    7.35
    HarryPotter.com
    7.05
    OliveGarden.com
    7.02
    PR6
    Pringles.com
    6.28
    Evian.com
    6.15
    Tabasco.com
    5.89
    PR5
    Cheetos.com
    5.39
    Snickers.com
    5.30
    Tropicana.com
    5.17
    !
    Famous doesn’t mean full
    Cheetos and Snickers are household names, yet they score a 5. People tend to link to the parent company, not the product site, so Cheetos.com has about 270 linking domains while Google has roughly 2.5 million. These are Open PageRank scores, not Google’s, rounded to the nearest whole number for each tier.
    Where would your pages land?
    Build a mini version of your own site and see which pages hold the most water, and which ones are running dry.
    Interactive PageRank playground
    Try It Yourself

    Reading about link equity only gets you so far. Pour authority into a page, connect the pipes and watch every bucket recalculate in real time.

    Pick a scenario from the menu, or start from a blank canvas.
    Click any bucket to see where its value comes from and rename it to match your pages.
    Add pages, draw links, flip a link to nofollow or delete anything.
    Copy a share link to send your graph to a client or teammate.

    ?Frequently Asked Questions


    Link juice is SEO shorthand for the ranking value one page passes to another through a link. The more value a page has and the fewer links it splits that value across, the more each link passes. The formal term is link equity.


    Not the page itself. In the formula, a page’s value comes only from the links pointing to it. Its outbound links decide how that value is split among the pages it links to.


    No. Since 2009, a nofollow link still takes its share of the split and that share is lost, so nofollowing internal links wastes value instead of steering it somewhere else.


    A page with dozens of links cuts its value into tiny slices. Many directories also have little authority to begin with, and Google tends to ignore links from low-quality directories.


    Google has said PageRank is still one of its signals. Today’s version is far more complex than the 1998 formula and works alongside many other ranking systems.


    No. The bucket values are made up for teaching, and the brand scores come from Open PageRank, not Google. The math follows the original PageRank formula, simplified so you can follow it by hand.


    Yes. Open the interactive link juice playground, start from the blank canvas and add your own pages and links. You can rename every bucket and share the finished graph with a link.


    Copy and paste the code below into your page. Please keep the credit link intact.

    Your turn
    Your Link Graph Is Waiting

    Twelve buckets, one formula and as many pipes as you want to draw. See where your link juice really goes.

    Sources

    1. Brin, S. and Page, L. (1998). The Anatomy of a Large-Scale Hypertextual Web Search Engine.
    2. Cutts, M. (2009). PageRank sculpting.
    3. Google Search Central (2019). Evolving “nofollow”: new ways to identify the nature of links.
    4. Open PageRank. Methodology and Top 10 Million Domains (September 2026 release).

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