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Link Graphs And Google Rankings

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Link Graphs And Google Rankings

Search engines create maps of the Internet called Link Graphs and these maps help search engines determine whether or not a site is relevant or low quality and how the site fits into the Internet. Link graphs are a part of ranking. For this part it’s important to understand what they are how your strategies fit into that.

What are Link Graphs?

Search engines map the Internet by the link connections between each website. These maps of the Internet are called Link Graphs. Link graphs reveal multiple qualities about websites on the Internet.

  • Link graphs show how sites are connected to each other.
  • Link graphs can be used to identify what topics a website is about.
  • Link graphs can be used to identify spammy sites.

Sites Link to Other Sites Related to their Topic

Sites about software and technology link to other sites about software and technology. Sites about cooking tend to link to other sites related to cooking.

The important take away about link graphs is that they can help tell search engines what a site is relevant for.

The link graph can also reveal networks of spam sites. While spam sites link to normal non-spam sites, normal sites do not tend to link to spam sites.

This has the effect of isolating spam sites into their own corners of the link graph.

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I promise that any jargon will be explained and what seems complicated will be simplified.

Link Distance Ranking Algorithms

There are some algorithms that rank links. Whether or not Google uses these kinds of algorithms is not known for certain. We just know they exist and that they perform very well for discovering which sites are spam, which sites are normal and what the topic of the sites are.

Read: Link Distance Ranking Algorithms

The way this works a map of the web is created that has multiple starting points. Each starting point is called a Seed Site. Each seed site which represents a site that’s expert, authoritative and trustworthy in its topic.

Sites that the seed site directly links to are also trustworthy and expert. What was discovered in this kind of algorithm is that the further away a link was from the original seed site the less trustworthy, expert and authoritative that site tended to be.

For the purposes of illustrating the link relationship:

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  • If a seed site links to a site, let’s call it a child site.
  • If that child site links to a site, let’s call it a grandchild site (of the seed site).
  • Sites that are in between, we can call them etcetera.

The seed site-based link graph might look something like this:

Seed Sites > Children Sites > Grandchildren Sites > Etc. > Your Site > Etc. > Spam Sites

Outbound Links And Relevance

Outbound links going out of a website (together with inbound links) can influence whether or not a site ranks at all.

When one site links to another site, they are connected within the link graph. All of those connections form groups, sometimes called neighborhoods.

Solar System Analogy

Stay with me, because now I’m going to make analogies of how sites link together to form link graphs, beginning with how a single site is linked together with itself.

For example, the Solar System could be thought of as a website.

The website home page could be thought of as the Sun. Earth, Mars, Saturn etc. can be considered analogous of pages from that website.

So the whole Solar System can be thought of as a website, as your website.

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A Website is Analogous to the Solar System

Milky Way Galaxy

The Solar System exists within the Milky Way galaxy. The Milky Way galaxy consists of other suns and planets.

In our analogy, the Milky Way galaxy represents all the other websites that are like your website and that are also about your same topic.

So if your site is an ecommerce site selling auto parts, all those other auto parts ecommerce sites are interconnected with your auto parts site by links from forums, blogs, product sites, manufacturer sites, review sites, etc.

The Milky Way galaxy, in our analogy example, represents all the websites on the Internet that are specifically about auto parts ecommerce. But it can also be whatever your own website topic is.

This is something to think about:

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Outbound links from one site to another site create a map of the Internet by topic.

So your website and all the other websites in your niche looks like this to Google:

Analogy of Interconnected Sites on Same Topic

Link graph analogy

But… Your Niche Exists in the Greater Internet

The example site of an auto parts ecommerce store (solar system) exists within the overall topic of all the auto parts ecommerce stores on the Internet, in this example represented by the Milky Way galaxy.

The auto parts ecommerce store topic exists within a greater entity, which is the larger and more general topic of ecommerce.

The Milky Way exists as part of a cluster of other galaxies. This cluster is called the Virgo Cluster.

The Virgo Cluster is an analogy of all the sites about ecommerce.

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Analogy of All Sites About Ecommerce

Link Graph Cluster

The Internet Link Map Reveals Topic Clusters

When search engines map the interconnections between websites, all the different topics tend to form clusters similar to how suns and planets form galaxies, including some some overlap as we’ll see in a moment.

Sites about any given topic tend to be interconnected by the similar sites that tend to link to sites about those topics.

For example, human resources-related sites tend to link to the same group of human resources related software sites and recruiting-related sites.

The Milky Way exists within the Virgo Galaxy Cluster. The Virgo Galaxy Cluster can be said to represent all the sites that are about ecommerce.

So in that Virgo Galaxy Cluster example there are groups of interconnected sites about sports ecommerce, fishing ecommerce, toy ecommerce, makeup ecommerce, and so on across all the topics that ecommerce covers.

Cluster of Super Clusters

But the Internet is bigger than ecommerce. The Internet includes the topics of politics, social media, ecommerce, travel, handbag sales, toy ecommerce, legal, entertainment, news, everything.

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Staying within our analogy of the Internet as cosmos, a supercluster of galaxy clusters, where the red dots in the image below are clusters of galaxies, this is what the Internet may look to Google as a Link-based Map of the entire Internet:

Supercluster of Galaxy Clusters

Supercluster of galaxy clustersNASA Photograph from NOAO Kitt Peak National Observatory with infrared data from NASA Spitzer Space Telescope

All of the websites of the entire Internet arrange themselves by links into structures that can be said to resemble galaxies that represent other sites that are in the same topic.

Those galaxies can be said to exist within clusters of other topics that are related, like all the sites about ecommerce, all the sites about news, all the sites about travel, etc.

And the entire Internet can be visualized as a giant supercluster of clusters.

The above illustration is an analogy of how the Internet self-organizes itself into a gigantic link-interconnected map that self-organizes by topic.

Six Degrees of Website Separation

There is an idea that all people are six friends away from other people. A friend of a friend of a friend of a friend of a friend of a friend will ultimately lead to a connection to virtually anyone.

Whether that’s true or not is besides the point right now. What matters is that a similar thing happens with links.

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The only difference with links is that there is an end point where the further  away you get from a starting point that more difference there is between the starting website where you began following links and the ending website further away.

What scientific researchers discovered is that if you begin at a starting point that you might call Expert and Authoritative, the further away you get from it the likelier it is that the site is spam.

The sites that are linked closer to the starting point tend to be more expert and authoritative and trustworthy.

That is the idea behind a type of ranking analysis called Link Distance Ranking.

Multiple scientific researchers (in and outside of Google) discovered that when you create a seed set of sites as starting points, it becomes even easier to weed out spam sites as well as more accurate at mapping out the Internet according to topic.

Link distance ranking algorithms provide a more granular level of categorization by topic to the Internet beyond the natural ordering that links provide.

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Link Graphs Reveal Legit Links and Spam Links

Spam sites exist in their own cluster because that’s how the Internet naturally arranges itself by links, especially when you overlay a link mapping algorithm over the link graph.

In the early 2000s the search engines used statistical analysis to discover which linking patterns were unnatural. The sites with unnatural linking patterns were called the “statistical outliers” and those outliers were spam sites.

Later on researchers published link distance ranking algorithm research papers.

Today Google uses machine learning and AI to catch spam at the moment it discovers it when crawling and also at the point where Google places sites within the index.  The exact processes involved in Google’s spam AI are not known, we only know that artificial intelligence is used.

Internet SEO scammers claim that they can trick Google by using mind-numbingly simple tricks. But when you understand how the Internet is ordered with a link graph, those child-level strategies are seen for what they are, implausible and sadly laughable.

Links Graphs and Ranking

There is somewhat very little you can do to control who links to you. Because of how link graphs work the task of identifying spam is easier.

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Knowing how link graphs and associated link graph mining technologies work helps to make sense of why Googlers are so confident about their ability to catch link spam and stop it from working.

While there is little you can do to control the creation of links to your site, there is a lot that you can do to control what your site links to.

For that reason, in my opinion, it’s a good idea to be careful to link to pages that are useful to users in the context of your content.

It may be useful to conduct a periodic audit of all outbound links to make sure that you’re not linking to non-existent pages that are gone and displaying a 404 response. Another situation to look out for is for links to sites that are gone and are parked domain advertisements.

In the interest of user experience it’s also a good idea to scan your outbound links to be absolutely certain that there are no outbound links to insecure HTTP web pages.

There is little one can do to control who links to a site. But the sites you link to are entirely under your control. Poor outbound linking practices may send a negative signal that reflects poorly on the site and may contribute to a negative ranking influence.

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Citations

Link Ranking Algorithms

What is Google’s Penguin Algorithm?

Google Fights Spam with AI




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Measuring Content Impact Across The Customer Journey

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Measuring Content Impact Across The Customer Journey

Understanding the impact of your content at every touchpoint of the customer journey is essential – but that’s easier said than done. From attracting potential leads to nurturing them into loyal customers, there are many touchpoints to look into.

So how do you identify and take advantage of these opportunities for growth?

Watch this on-demand webinar and learn a comprehensive approach for measuring the value of your content initiatives, so you can optimize resource allocation for maximum impact.

You’ll learn:

  • Fresh methods for measuring your content’s impact.
  • Fascinating insights using first-touch attribution, and how it differs from the usual last-touch perspective.
  • Ways to persuade decision-makers to invest in more content by showcasing its value convincingly.

With Bill Franklin and Oliver Tani of DAC Group, we unravel the nuances of attribution modeling, emphasizing the significance of layering first-touch and last-touch attribution within your measurement strategy. 

Check out these insights to help you craft compelling content tailored to each stage, using an approach rooted in first-hand experience to ensure your content resonates.

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Whether you’re a seasoned marketer or new to content measurement, this webinar promises valuable insights and actionable tactics to elevate your SEO game and optimize your content initiatives for success. 

View the slides below or check out the full webinar for all the details.

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How to Find and Use Competitor Keywords

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How to Find and Use Competitor Keywords

Competitor keywords are the keywords your rivals rank for in Google’s search results. They may rank organically or pay for Google Ads to rank in the paid results.

Knowing your competitors’ keywords is the easiest form of keyword research. If your competitors rank for or target particular keywords, it might be worth it for you to target them, too.

There is no way to see your competitors’ keywords without a tool like Ahrefs, which has a database of keywords and the sites that rank for them. As far as we know, Ahrefs has the biggest database of these keywords.

How to find all the keywords your competitor ranks for

  1. Go to Ahrefs’ Site Explorer
  2. Enter your competitor’s domain
  3. Go to the Organic keywords report

The report is sorted by traffic to show you the keywords sending your competitor the most visits. For example, Mailchimp gets most of its organic traffic from the keyword “mailchimp.”

Mailchimp gets most of its organic traffic from the keyword, “mailchimp”.Mailchimp gets most of its organic traffic from the keyword, “mailchimp”.

Since you’re unlikely to rank for your competitor’s brand, you might want to exclude branded keywords from the report. You can do this by adding a Keyword > Doesn’t contain filter. In this example, we’ll filter out keywords containing “mailchimp” or any potential misspellings:

Filtering out branded keywords in Organic keywords reportFiltering out branded keywords in Organic keywords report

If you’re a new brand competing with one that’s established, you might also want to look for popular low-difficulty keywords. You can do this by setting the Volume filter to a minimum of 500 and the KD filter to a maximum of 10.

Finding popular, low-difficulty keywords in Organic keywordsFinding popular, low-difficulty keywords in Organic keywords

How to find keywords your competitor ranks for, but you don’t

  1. Go to Competitive Analysis
  2. Enter your domain in the This target doesn’t rank for section
  3. Enter your competitor’s domain in the But these competitors do section
Competitive analysis reportCompetitive analysis report

Hit “Show keyword opportunities,” and you’ll see all the keywords your competitor ranks for, but you don’t.

Content gap reportContent gap report

You can also add a Volume and KD filter to find popular, low-difficulty keywords in this report.

Volume and KD filter in Content gapVolume and KD filter in Content gap

How to find keywords multiple competitors rank for, but you don’t

  1. Go to Competitive Analysis
  2. Enter your domain in the This target doesn’t rank for section
  3. Enter the domains of multiple competitors in the But these competitors do section
Competitive analysis report with multiple competitorsCompetitive analysis report with multiple competitors

You’ll see all the keywords that at least one of these competitors ranks for, but you don’t.

Content gap report with multiple competitorsContent gap report with multiple competitors

You can also narrow the list down to keywords that all competitors rank for. Click on the Competitors’ positions filter and choose All 3 competitors:

Selecting all 3 competitors to see keywords all 3 competitors rank forSelecting all 3 competitors to see keywords all 3 competitors rank for
  1. Go to Ahrefs’ Site Explorer
  2. Enter your competitor’s domain
  3. Go to the Paid keywords report
Paid keywords reportPaid keywords report

This report shows you the keywords your competitors are targeting via Google Ads.

Since your competitor is paying for traffic from these keywords, it may indicate that they’re profitable for them—and could be for you, too.

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You know what keywords your competitors are ranking for or bidding on. But what do you do with them? There are basically three options.

1. Create pages to target these keywords

You can only rank for keywords if you have content about them. So, the most straightforward thing you can do for competitors’ keywords you want to rank for is to create pages to target them.

However, before you do this, it’s worth clustering your competitor’s keywords by Parent Topic. This will group keywords that mean the same or similar things so you can target them all with one page.

Here’s how to do that:

  1. Export your competitor’s keywords, either from the Organic Keywords or Content Gap report
  2. Paste them into Keywords Explorer
  3. Click the “Clusters by Parent Topic” tab
Clustering keywords by Parent TopicClustering keywords by Parent Topic

For example, MailChimp ranks for keywords like “what is digital marketing” and “digital marketing definition.” These and many others get clustered under the Parent Topic of “digital marketing” because people searching for them are all looking for the same thing: a definition of digital marketing. You only need to create one page to potentially rank for all these keywords.

Keywords under the cluster of "digital marketing"Keywords under the cluster of "digital marketing"

2. Optimize existing content by filling subtopics

You don’t always need to create new content to rank for competitors’ keywords. Sometimes, you can optimize the content you already have to rank for them.

How do you know which keywords you can do this for? Try this:

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  1. Export your competitor’s keywords
  2. Paste them into Keywords Explorer
  3. Click the “Clusters by Parent Topic” tab
  4. Look for Parent Topics you already have content about

For example, if we analyze our competitor, we can see that seven keywords they rank for fall under the Parent Topic of “press release template.”

Our competitor ranks for seven keywords that fall under the "press release template" clusterOur competitor ranks for seven keywords that fall under the "press release template" cluster

If we search our site, we see that we already have a page about this topic.

Site search finds that we already have a blog post on press release templatesSite search finds that we already have a blog post on press release templates

If we click the caret and check the keywords in the cluster, we see keywords like “press release example” and “press release format.”

Keywords under the cluster of "press release template"Keywords under the cluster of "press release template"

To rank for the keywords in the cluster, we can probably optimize the page we already have by adding sections about the subtopics of “press release examples” and “press release format.”

3. Target these keywords with Google Ads

Paid keywords are the simplest—look through the report and see if there are any relevant keywords you might want to target, too.

For example, Mailchimp is bidding for the keyword “how to create a newsletter.”

Mailchimp is bidding for the keyword “how to create a newsletter”Mailchimp is bidding for the keyword “how to create a newsletter”

If you’re ConvertKit, you may also want to target this keyword since it’s relevant.

If you decide to target the same keyword via Google Ads, you can hover over the magnifying glass to see the ads your competitor is using.

Mailchimp's Google Ad for the keyword “how to create a newsletter”Mailchimp's Google Ad for the keyword “how to create a newsletter”

You can also see the landing page your competitor directs ad traffic to under the URL column.

The landing page Mailchimp is directing traffic to for “how to create a newsletter”The landing page Mailchimp is directing traffic to for “how to create a newsletter”

Learn more

Check out more tutorials on how to do competitor keyword analysis:

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Google Confirms Links Are Not That Important

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Google confirms that links are not that important anymore

Google’s Gary Illyes confirmed at a recent search marketing conference that Google needs very few links, adding to the growing body of evidence that publishers need to focus on other factors. Gary tweeted confirmation that he indeed say those words.

Background Of Links For Ranking

Links were discovered in the late 1990’s to be a good signal for search engines to use for validating how authoritative a website is and then Google discovered soon after that anchor text could be used to provide semantic signals about what a webpage was about.

One of the most important research papers was Authoritative Sources in a Hyperlinked Environment by Jon M. Kleinberg, published around 1998 (link to research paper at the end of the article). The main discovery of this research paper is that there is too many web pages and there was no objective way to filter search results for quality in order to rank web pages for a subjective idea of relevance.

The author of the research paper discovered that links could be used as an objective filter for authoritativeness.

Kleinberg wrote:

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“To provide effective search methods under these conditions, one needs a way to filter, from among a huge collection of relevant pages, a small set of the most “authoritative” or ‘definitive’ ones.”

This is the most influential research paper on links because it kick-started more research on ways to use links beyond as an authority metric but as a subjective metric for relevance.

Objective is something factual. Subjective is something that’s closer to an opinion. The founders of Google discovered how to use the subjective opinions of the Internet as a relevance metric for what to rank in the search results.

What Larry Page and Sergey Brin discovered and shared in their research paper (The Anatomy of a Large-Scale Hypertextual Web Search Engine – link at end of this article) was that it was possible to harness the power of anchor text to determine the subjective opinion of relevance from actual humans. It was essentially crowdsourcing the opinions of millions of website expressed through the link structure between each webpage.

What Did Gary Illyes Say About Links In 2024?

At a recent search conference in Bulgaria, Google’s Gary Illyes made a comment about how Google doesn’t really need that many links and how Google has made links less important.

Patrick Stox tweeted about what he heard at the search conference:

” ‘We need very few links to rank pages… Over the years we’ve made links less important.’ @methode #serpconf2024″

Google’s Gary Illyes tweeted a confirmation of that statement:

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“I shouldn’t have said that… I definitely shouldn’t have said that”

Why Links Matter Less

The initial state of anchor text when Google first used links for ranking purposes was absolutely non-spammy, which is why it was so useful. Hyperlinks were primarily used as a way to send traffic from one website to another website.

But by 2004 or 2005 Google was using statistical analysis to detect manipulated links, then around 2004 “powered-by” links in website footers stopped passing anchor text value, and by 2006 links close to the words “advertising” stopped passing link value, links from directories stopped passing ranking value and by 2012 Google deployed a massive link algorithm called Penguin that destroyed the rankings of likely millions of websites, many of which were using guest posting.

The link signal eventually became so bad that Google decided in 2019 to selectively use nofollow links for ranking purposes. Google’s Gary Illyes confirmed that the change to nofollow was made because of the link signal.

Google Explicitly Confirms That Links Matter Less

In 2023 Google’s Gary Illyes shared at a PubCon Austin that links were not even in the top 3 of ranking factors. Then in March 2024, coinciding with the March 2024 Core Algorithm Update, Google updated their spam policies documentation to downplay the importance of links for ranking purposes.

Google March 2024 Core Update: 4 Changes To Link Signal

The documentation previously said:

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“Google uses links as an important factor in determining the relevancy of web pages.”

The update to the documentation that mentioned links was updated to remove the word important.

Links are not just listed as just another factor:

“Google uses links as a factor in determining the relevancy of web pages.”

At the beginning of April Google’s John Mueller advised that there are more useful SEO activities to engage on than links.

Mueller explained:

“There are more important things for websites nowadays, and over-focusing on links will often result in you wasting your time doing things that don’t make your website better overall”

Finally, Gary Illyes explicitly said that Google needs very few links to rank webpages and confirmed it.

Why Google Doesn’t Need Links

The reason why Google doesn’t need many links is likely because of the extent of AI and natural language undertanding that Google uses in their algorithms. Google must be highly confident in its algorithm to be able to explicitly say that they don’t need it.

Way back when Google implemented the nofollow into the algorithm there were many link builders who sold comment spam links who continued to lie that comment spam still worked. As someone who started link building at the very beginning of modern SEO (I was the moderator of the link building forum at the #1 SEO forum of that time), I can say with confidence that links have stopped playing much of a role in rankings beginning several years ago, which is why I stopped about five or six years ago.

Read the research papers

Authoritative Sources in a Hyperlinked Environment – Jon M. Kleinberg (PDF)

The Anatomy of a Large-Scale Hypertextual Web Search Engine

Featured Image by Shutterstock/RYO Alexandre

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