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How to Build a Topic Cluster in 10 Minutes

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How to Build a Topic Cluster in 10 Minutes

How do you know an SEO is into topic clusters?

Don’t worry, they’ll tell you.

Lots of SEOs seem to be raving about the benefits of topic clusters at the moment. But do topic clusters live up to the hype, or are they just another buzzword?

In this guide, you’ll learn the following:

Topic clusters are interlinked pages about a particular subject.

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People often get confused by the name variations. If there’s one thing SEOs love to do, it’s to create multiple terms for the same thing:

Topic clusters, content hubs, pillar pages, hub and spoke. Whatever you call them, they are all essentially the same thing: topically grouped pages designed to cover a subject and rank.

Simply put, a topic cluster consists of three components:

  1. A page focused on a topic.
  2. A “cluster” of pages covering related subtopics in more depth.
  3. Internal linking between all of the pages.

If you nail those three elements, you have a topic cluster.

Most people’s first encounter with topic clusters is via this graphic from Hubspot that illustrates the setup of a cluster:

Infographic showing how topic clusters are arranged and how they link to the pillar content

Why do topic clusters matter for SEO?

Topic clusters help search engines better understand the hierarchy of your website. As such, they may help search engines see your site as an authority on a specific subject.

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Basically, a topic cluster is just another way of laying out your website’s architecture.

However, it’s worth pointing out here that Google has never specifically said to use topic clusters or mentioned anything about their benefits. The closest SEOs get to an official comment on topic clusters is this part from Google’s Webmaster Guidelines:

Design your site to have a clear conceptual page hierarchy.

This is open to interpretation. Like most things in SEO, topic clusters are a framework created by SEOs (not Google) to help get stuff done.

Topic clusters are effective for SEO because they:

  • Group relevant content together so that it is easier to find (for users and search engines).
  • May help to build topical relevance/authority for your site by fully covering a topic.
  • Help to create relevant internal links naturally.

So what do topic clusters actually look like?

Three examples of topic clusters in the wild

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Below you will find three examples of topic clusters across different niches.

If you want more examples, check out Kane Jamison’s awesome 30+ content hub examples or look through Ahrefs’ Beginner’s Guide to SEO for inspiration.

All these examples below have the ingredients of a good topic cluster:

  1. Page focused on a high-level topic (online courses, wines, workouts)
  2. Related subtopics that go into greater detail
  3. Internal linking between all of the pages

Example 1 – Podia’s guide to selling a profitable online course

Excerpt of Podia's guide; title on top and video below

This is a classic example of a topic cluster: one main page linking out to subpages (or chapters, in this case). Most of this content is evergreen, so the subpages don’t need to be updated too often.

The best way to think of this cluster is as a long-form guide split into bite-sized chunks. In fact, that’s how Podia described it:

8 lines, each summarizing a step; each line is linked to another article with more details

Example 2 – Wine Folly’s beginner’s guide to wine

Excerpt of Wine Folly's guide

This content cluster is another overview page linking to evergreen resources. But this time, it lists out many supporting articles (each grouped under a subtopic).

As compared to Podia, which split its cluster into chapters, Wine Folly chose to group its keywords under subtopics and even created supporting text for each:

Excerpt of guide. Pictures of grapes and wine in glasses on left; text on right

This format works really well when covering a large topic (like wine). There are lots of different subtopics and keywords with different intents, so it makes sense to split the content this way.

Example 3 – Muscle and Strength’s workout database

Excerpt of M&S' page about free workouts. Man is lifting weights in background image

This cluster is massive. It’s set up like a visual database made up of hundreds of pages that are sortable and filterable (to an extent).

Each page is labeled and grouped under a relevant category (e.g., Workouts For Men, Workouts For Women, Chest Workouts, etc.). And on the main page itself, you can immediately see what each category is about.

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3 pictures of different programs side by side, corresponding text below

And it looks like it’s working in terms of SEO:

List of URLs with corresponding traffic

As you can see, there are different ways to build your topic clusters. The important thing is to pick the format you think will best display your content for Google and users.

How to create a topic cluster in 10 minutes

Most articles about building topic clusters look like this…

  • Step 1: Choose the topic you want to rank for
  • Step 2: Select your content clusters
  • Step 3: Review your existing content
  • Step 4: Link your content together
  • Step 5: Profit?

But this article is going to be a bit different.

The following guide will walk you through how to use free tools and Ahrefs to go from zero to a fully planned out topic cluster strategy in 10 minutes. Oh—and in a niche you know nothing about.

DISCLAIMER:

If you want to build a comprehensive topic cluster, there’s no substitute for doing proper research. But that’s not always possible due to a lack of budget or time. So treat this method as minimum viable niche research.

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Let’s get started.

Step 1. Choose a topic (to build a cluster around)

You need to pick a topic before you can start building a cluster.

Whatever topic you pick, it needs to be tight enough so that it focuses on a single concept. But it also must be broad enough so that you’re not limiting the amount of content you can produce.

Don’t overcomplicate it. The key here is to start thinking in terms of topics and not just keywords.

Here are some criteria that will help you make good choices. Topics should:

  • Satisfy informational search intent.
  • Have search traffic potential (just don’t get hung up on search volume).
  • Be broad enough to generate subtopics.

Struggling for ideas? Head over to Ahrefs’ Keywords Explorer, search for a niche-related term, and go to the Overview report.

You can now look at Keyword ideas for—well, keyword ideas. This is a good place to start picking a topic to build a cluster around.

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Just don’t use terms that are too narrow here.

For example, if you drop in a keyword like “personal injury lawyer for prisoners,” the results are not useful for the purpose of building a topic cluster:

List of keyword ideas

However, if you go a bit broader and drop in the keyword “personal injury lawyer,” you’ll get some good terms:

List of keyword ideas on left; list of "question" searches on right

These terms (in the “Questions” section) fit our criteria: informational, search traffic potential, and broad.

However, the Terms match ideas are more like commercial investigation intent keywords. So we may want to go broader and use “lawyer” as a seed keyword instead.

Why?

Because I don’t think you’d use keywords such as “best personal injury lawyer” and “atlanta personal injury lawyer” to build a topic cluster—much less an informational topic cluster.

Here’s what we get using the seed keyword “lawyer” instead:

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List of keyword ideas on left; list of "question" searches on right

Once more, these terms fit our three criteria (and our original term “personal injury lawyer“shows up again).

The key here is to pick a topic that has the potential to unlock more supporting topics. If you pick topics that are too narrow, you’ll not have enough keywords to choose from. Too broad and you’ll have to filter through many unrelated terms.

Step 2. Do topical keyword research with Wikipedia

In this section, we will walk through how to use Wikipedia to understand the common talking points of a topic so that you can do better, more informed keyword research.

But first: Why use Wikipedia, though?

Well, because it is the ultimate topic cluster. Every Wikipedia article fully covers a topic and interlinks between supporting subtopics—just like an SEO topic cluster does. Treat it as a guide for choosing topics to pursue.

For this example, let’s build a topic cluster around the topic “personal injury lawyer.”Why this one? It’s because I know absolutely nothing about this industry.

First up, see if there is a Wikipedia page for the topic, which there is.

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Now look for subtopics on the page. You can look at the internal links to find indications of subtopics:

Wikipage on personal injury lawyer

If you want to dig a bit deeper, you can run the URL through Ahrefs’ Site Explorer. Once you’ve done so, head over to the Organic Keywords report and review the keywords it ranks for.

(Hint: look for informational keywords here.)

List of keywords with corresponding data

You can even repeat the process for all the internal links on the Wikipedia page, as these will typically be related subtopics.

Depending on the page/topic, you may have enough information to get started on building a topic cluster.

If you don’t, move on to the next section to find more subtopics.

Step 3. Find more subtopics (if you don’t have enough)

In this section, we will walk through how to dive deeper into a topic and get more actionable data for building topic clusters.

MissingTopics is a great free tool for finding the most important topics and entities on pages. It allows you to extract data from URLs, see common headings being used, and find topics missing from your content (which your competitors have).

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Copy the Wikipedia page URL. Then run it through MissingTopics:

Text field to enter URL
  1. Go to Topics
  2. Paste in the Wikipedia URL you want to analyze
  3. Hit Submit

You’ll now have a list of (you guessed it) missing topics:

Topic results

Copy these and save them to your list. You’ll need to clean up the output a little (remove numbers, brackets, etc.). Also, make sure to review this output to find any generalized terms that may skew your results.

In this example, one of the topics is “united states,” which will obviously skew your results:

Results with outliers highlighted; for example, "united states"

Once the output is cleaned, you’ll have some additional seed keywords to use in Ahrefs.

Open up Ahrefs’ Keywords Explorer. Then paste in the missing topics as seed keywords.

From here, you’ve got a few different methods for finding a bunch of keywords, thanks to Ahrefs’ functionality.

Here are a few methods you can try:

Find high-volume “question” keywords:

Matching terms report results
  1. Toggle the Questions tab
  2. Select Terms match
  3. Set a minimum volume* 

Sidenote.

*Volume: Feel free to change this based on your topic/preference. Sometimes, you may need to set a minimum search volume for a client. Or maybe you only want to target keywords that get 100+ searches. Either way, update this accordingly or leave it blank. Do note that by default, Ahrefs sorts results by search volume.

Now you’ll have a list of question-based keywords with a minimum search volume for you to target. Combine this with the Terms filter, and you can quite easily start building out keyword-focused FAQ pages per term.

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For example, filter by “tort,” and you’ll get enough keywords to build a useful informational post.

Matching terms report results filtered by "tort"

Find specific content formats

Matching terms report results with "Include" filter applied
  1. Toggle the All tab
  2. Select Terms match
  3. Add a modifier to the Include filter

By selecting a keyword modifier (“benefits” in the example above), you can drill down to find specific content formats.

Some modifiers to try:

  • Benefits
  • Tips
  • Best + Review
  • Examples
Matching terms report results with "SERP features" filter applied
  1. Toggle the All tab
  2. Select Terms match
  3. In “SERP features,” select Featured snippets

Given that featured snippets typically show up in informational search results, this can be a quick way to filter out the junk and get to the types of keywords that work well as informational content.

This method is also useful because it shows you informational terms, which you otherwise may have missed, outside of question-based keywords.

Step 4. Putting together a topic cluster plan

Now you should have a healthy list of keywords on a topic you previously didn’t know anything about.

You’ll probably have a bunch of keywords with similar meanings. So you’ll need to determine if you can target them all with one page or if you’ll need separate pages.

Group subtopics with similar intent

Here’s a quick method using Ahrefs’ Keywords Explorer:

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  1. Paste the keywords you want to compare into Keywords Explorer
  2. Go to Traffic share and select By page
  3. Look for pages ranking for multiple terms
  4. Click to examine and look at how much the SERPs overlap
Traffic share by pages report results

(I definitely didn’t steal this tip from Tim Soulo.)

Once you’ve worked out how many pages you need to create and what keywords to map to them, you’ve got to now create your clusters.

For this stage, you may need a bit more than 10 minutes.

My keyword research process didn’t take too long. It’ll likely be quicker than spending the next week cramming enough information about lawyers (or whatever unfamiliar topic you are researching).

Despite being unfamiliar with this topic, I found a good number of keywords to create content around. When you are working in niches you don’t have a working knowledge of, you don’t know what you don’t know.

That’s where this method can help.

Still have questions about topic clusters? You’ll like the final section:

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Here are answers to a few common questions you may have about topic clusters:

Are “topic clusters,” “content hubs,” and “pillar pages” the same thing?

However you want to refer to them, topic clusters, content hubs, and pillar pages are all basically the same thing: a single place to house content around a specific topic.

What is a topic in SEO?

Google’s main goal is to give people the most relevant answers to their search queries as quickly as possible. As an SEO, your focus should be the same.

Instead of thinking about an article as one that focuses on a keyword, think of keywords as topics. You want to try and cover everything Google expects to see within that topic in your content.

How many pages should you have in a cluster?

Stock SEO answer time: It depends.

There is no minimum or maximum number of pages you should create per topic cluster. Scroll up to the topic cluster examples. Some of those have a handful of pages, while some have hundreds.

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What you should do is create enough to cover the topic fully but not so many that you are potentially cannibalizing your rankings.

That’s why the last step of the process (grouping subtopics with similar intent) is important. You don’t want to be building a topic cluster full of keywords competing against themselves.

Final thoughts

There you have it: how to build a topic cluster using Wikipedia, Ahrefs, and some SEO brainpower.

Is this going to be the most comprehensive content hub? No. But it’s a starting point. And it only took 10 minutes, which is not bad considering we know nothing about the niche.

Got a question on topic clusters or content strategy? Tweet me.

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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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