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The Complete List (44 Advanced Operators)

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The Complete List (44 Advanced Operators)

Google advanced search operators are special commands and characters that filter search results. They do this by making your searches more precise and focused.

For example, the site: operator restricts results to those from a particular site:

The site: search operator filters for results from a particular site

In this post, you’ll learn all of Google’s search operators and how to master them for SEO.

Google search operators: the complete list

Below is a brief description of what every Google search operator does.

I’ve grouped them into three categories:

  • Working – Works as intended.
  • Unreliable – Not officially deprecated by Google, but results are hit-and-miss. 
  • Not working – Officially deprecated by Google. 

Here’s the full list:

Working

Sidenote.

You can also use the _ operator, which acts as a wildcard in Google Autocomplete.

Unreliable

Not working (officially dropped by Google)

Search operator What it does Example
~ Include synonyms in the search. Dropped in 2013. ~apple
"+" Search for results mentioning an exact word or phrase. Dropped in 2011. jobs +apple
inpostauthor: Search for posts by a specific author in the discontinued Google Blog Search. inpostauthor:”steve jobs”
allinpostauthor: Same as inpostauthor:, but removes the need for quotes. allinpostauthor:steve jobs
inposttitle: Search for posts with certain words in the title in Google’s discontinued Blog Search. inposttitle:apple iphone
link: Search for pages linking to a particular domain or URL. Dropped in 2017. link:apple.com
info: Search for information about a specific page or website. Dropped in 2017. info:apple.com
id: Same as info: id:apple.com
phonebook: Search for someone’s phone number. Dropped in 2010. phonebook:tim cook
# Search for hashtags on Google+. Dropped in 2019 when Google+ shut down. #apple

11 ways to use Google search operators

Let’s tackle a few ways to put these operators into action.

My aim here is to show that you can achieve almost anything with Google advanced operators if you know how to use and combine them. So don’t be afraid to play around and deviate from the examples below. You may just discover something new.

Prefer video?

Check out nine actionable Google search operator tips in Sam Oh’s video.

1. Find possible indexing issues

Eyeballing the results of a site: search for your website can uncover potential indexing issues. 

For example, if we combine it with the filetype: operator, we see that this 3D printing company has quite a few PDFs indexed: 

Combining the site: and filetype: operators shows that this site has a few PDFs indexed

This isn’t a bad thing if it’s intentional, but I have a feeling it isn’t for some of these. 

For instance, its site has a lead-generation landing page for a white paper about the total cost of ownership for 3D printers:

Lead-generation landing page for a PDF white paper

But this PDF is indexed, so you can easily access it without filling in your details:

PDF that's supposed to be "gated" is indexed and accessible in Google search

The site owners should probably add an x-robots noindex tag to solve this.

2. Find and analyze your competitors

Use the related: operator to find websites related to yours, which are often competitors.

The related: operator shows related sites

You can then use other search operators to investigate these sites further.

For example, if we search for site:moz.com, we can quickly see that it has published a lot of content on its blog, help section, and “SEO Learning Center.”

The site: operator reveals where Moz publishes content

If we adjust our site: operator to focus on its Learning Center, we can start to get a sense of the type of content published and what it’s about.

Restricting the site: operator to a subfolder

In this case, it looks like there are lots of definition-type posts. 

In fact, if we add intitle:("what is"|"what are") to our search, we see 86 matching pages.

Restricting the site: operator with the intitle: operator

However, what Google can’t tell us is whether these pages get any organic traffic. To find that out, we’ll need to use a third-party tool.

If you’re an Ahrefs user:

  1. Go to Site Explorer
  2. Enter the competitor’s domain or subsection
  3. Check the Top pages report
Moz's top pages by traffic, via Ahrefs' Site Explorer

If you’re not an Ahrefs user, you can use our free traffic checker to check pages one by one:

Estimated organic traffic to Moz's meta description guide, via Ahrefs' free traffic checker

Both of these methods show that many of its definition-type posts are getting in excess of 20K estimated monthly organic visits. So this could be a good type of content to create if you wanted to attract search traffic in this niche. 

In fact, that’s exactly what we did with our SEO glossary.

Here’s its organic traffic growth over the last few months:

Estimated organic traffic growth to our SEO glossary, via Ahrefs' Site Explorer

3. Find guest post opportunities

Most people find guest posting opportunities by searching for “write for us” pages in their niche. 

For example, if you have a website about coffee, you can search for something like coffee intitle:"write for us" inurl:write-for-us:

Searching for guest post opportunities with intitle: and inurl:

However, as lots of people are using this method, you’ll often end up pitching the same sites as everyone else. For that reason, a better method is to find a serial guest blogger in your niche and look for sites they’ve written for.

You can do this by searching for [topic] inurl:author/[firstname-lastname].

For example, this search finds websites Ryan Stewart has written for:

Finding posts by a particular author using inurl:

You can also do this in Ahrefs’ Content Explorer by searching for [topic] author:[firstname lastname"].

Searching for posts by a particular author using the author: operator in Ahrefs' Content Explorer

The benefit of using Content Explorer over Google is that you can filter the results to focus on high-quality websites. Plus, not every site will use the /author/firstname-lastname/ footprint. 

For example, we can easily filter for posts from websites with a Domain Rating (DR) above 30 and an estimated website traffic of at least 5K per month.

Filtering for posts by a particular author from high-DR and high-traffic websites in Ahrefs' Content Explorer

Sidenote.

This can sometimes generate a few false positives, depending on how common the person’s name is.

You can even highlight results from domains that haven’t linked to you so you can prioritize getting backlinks from more websites. 

Filtering for one page per domain and highlighting domains that haven't linked to us in Ahrefs' Content Explorer

4. Find resource page opportunities

Resource pages curate and link to the best resources on a topic. This makes them great link prospects if you have a fitting resource.

To find them in Google, search for: [topic] intitle:resources inurl:resources.

For example, if you want to build links to a coffee resource, you can search for this:

Searching for resource page opportunities with intitle: and inurl:

However, not all of these pages will be worth pitching. You’ll find that some just link to their own resources, so you’ll need to sift through them and pitch the relevant ones.

If you want an even easier way to find resource pages, try this: 

  1. Go to Ahrefs’ Site Explorer
  2. Enter the domain of a big competitor
  3. Go to the Backlinks report
  4. Filter for backlinks with “resources” in the Ref. page URL
Searching for resource pages in competitor's backlink profile in Ahrefs' Site Explorer

5. Find files you don’t want in Google’s index

You probably don’t want Google to index every file you upload to your website.

For example, if you have PDFs behind lead magnets or content upgrades, you probably want to protect those files to prevent people from finding them on Google.

Let’s use the filetype: operator to check for these on ahrefs.com.

Searching for indexed PDFs from a particular site with site: and filetype:

It looks like there’s one PDF indexed, which is an old resource from 2017.

If we were bothered about people finding this (we’re not), we’d want to set this file to noindex with an x-robots header response

6. Find the email address of the person you want to reach out to

People often share their email addresses on Twitter, so you can use search operators to find those tweets.

For example, if you wanted to find Tim Soulo’s email address, you could search for any of his tweets that mention the word “email” and “gmail.com” or “ahrefs.com” (as his email address is almost certainly at one of those domains).

If you do this, his email address pops up right away: 

Searching for Tim Soulo's email address on Twitter with the site: operator

7. Find opportunities to add internal links

Internally linking to important content from other relevant pages on your website can send it more traffic and potentially help it to rank higher in organic search.

For example, let’s say we wanted to add some internal links to our list of SEO tips

If we search in Google for site:ahrefs.com/blog "SEO tips", we’ll find blog posts mentioning the phrase “SEO tips” somewhere in their content. 

Searching for internal link opportunities with the site: operator

In this case, we can ignore the first result, as this is the post we want to build internal links to. But there are 99 other results mentioning SEO tips, and many of them are perfect contextual internal link opportunities.

For instance, our guide to creating SEO content has an unlinked mention of “SEO tips,” so this is the perfect opportunity to add an internal link. 

Explanation of the use of keywords

That said, the one downside of using search operators to find internal link opportunities is that they don’t distinguish between linked and unlinked mentions. In other words, they often find opportunities you’ve already taken advantage of.

For example, our search found a mention of “SEO tips” in our list of SEO techniques:

Finding mentions on a site using the site: operator

But if we find that mention on the page, we see that it’s already internally linked:

Example of a mention found with site:

If this happens a lot and you find it frustrating, sign up for a free Ahrefs Webmaster Tools account and try this instead:

  1. Crawl your website with Site Audit
  2. Go to the Internal Link Opportunities tool in Site Audit
  3. Add your target page’s URL to the search field
  4. Select “Target page” from the dropdown next to the search field
  5. Hit the return key
Using the Internal Link Opportunities tool in Ahrefs' Site Audit to find places to add internal links

You should see a list of opportunities like this: 

Example of an internal link opportunity found in Ahrefs' Site Audit

It tells you:

  • Where to link from (Source page).
  • Where to add the link (Keyword context).
  • Where to link to (Target page).

8. Find “best” listicles that don’t mention your brand

Let’s say you run an email marketing tool like ConvertKit. 

If you search Google for “best email marketing tools,” you’ll find thousands of results listing top picks:

Google search results for "best email marketing tools"

Given that you probably want to be featured on these lists, it’ll be helpful to see which ones do and don’t mention you already, right? That way, you can reach out to the authors of lists not mentioning your tool and see if you can get them to add you.

Luckily, you can do that by appending your search with -[your business name]:

Excluding results mentioning a particular brand with the "-" operator

Alternatively, if you want an even quicker method, you can use Ahrefs’ Content Explorer

If you’re not familiar with Content Explorer, it’s a search engine for marketers with an index of over 11 billion pages. You can use this search to find listicles that don’t mention your brand: title:"best [whatever]" -[yourbrand].

For example, if we look for lists of the best email marketing tools that don’t mention ConvertKit, we get 3,182 results:

Excluding results mentioning a particular brand in Ahrefs' Content Explorer using the "-" operator

What makes Content Explorer more convenient than Google is that you can filter the results by things like DR, estimated website and page traffic, and more. Then you can export them in a few clicks.

For example, if we restrict the results to one page per domain and filter for websites with a DR of 30 or more, we narrow things down from 3,182 to 156 pages.

Narrowing results with filters in Ahrefs' Content Explorer

This is a much more manageable number of websites to review and potentially reach out to.

9. Find websites that have reviewed competitors

If a website posts a review of a competitor, chances are it may also be willing to review you.

Here’s how to find competitor reviews: allintitle:review ([competitor 1] OR [competitor 2]).

For example, if we wanted to find reviews of ConvertKit competitors, we could search for this: 

Finding websites that have reviewed competitors with the allintitle: operator

If you like, you can add the after: operator into the mix to find recently published posts. This way, you can focus on pitching websites that you know are still active.

Using the after: operator to filter for results from a particular period

Sidenote.

You can use Ahrefs’ SEO Toolbar to download search results.

However, all of this is once again easier in Content Explorer because you can filter and export the results more easily. 

Here’s how to run the same search there:

  1. Choose “In title” as the search mode
  2. Search for review (mailchimp OR aweber)
  3. Filter for one page per domain
Searching for reviews that mention competitors in Ahrefs' Content Explorer

This gives us 2,948 results, which is a lot. So let’s prioritize our list by filtering for pages published in the last 12 months on websites that get at least 1K monthly search visits:

Filtering the results in Ahrefs' Content Explorer

Get alerts for new competitor reviews

Just set up a new “Mentions” alert in Ahrefs Alerts. You can use the same search from Content Explorer and filters for DR and domain traffic too. 

Setting up an alert for competitor reviews in Ahrefs Alerts

10. Find relevant Quora questions to answer

Quora is a website where people ask questions, contributors post answers, and the best ones get upvoted to the top.

As my colleague, Si Quan Ong, has proven, it’s a great place to build brand awareness. He’s had over 2 million views on his answers and continues to get over 25K views every month despite his recent inactivity:

My colleague's achievements on Quora

When it comes to finding questions to answer, Quora’s search function works well. The downside is that you can only search for one topic at once.

As Quora uses the question itself as the URL, you can overcome this problem with this search operator: site:quora.com inurl:([topic 1] | topic 2).

For example, if you have a health and fitness website, you can search for something like this:

Searching for relevant threads on Quora using inurl:

If you’re an Ahrefs user, you can even combine this with the SEO Toolbar to overlay traffic estimates on the SERP. That way, you can focus on answering questions that already get organic traffic.

Using Ahrefs' SEO Toolbar to check estimated traffic to relevant Quora threads on the fly

Or if you want an even faster method, try this:

  1. Go to Ahrefs’ Site Explorer
  2. Enter quora.com
  3. Go to the Top pages report
  4. Filter for results with URLs that contain particular words

This will give you a list of relevant Quora answers, sorted by their estimated monthly search traffic from high to low.

Searching for relevant Quora threads with traffic in Ahrefs' Site Explorer

For example, one of the questions above asks whether it’s better to make a protein shake with milk or water and gets an estimated 792 monthly visits. If you can answer this question well and get upvoted, chances are hundreds of people will see your answer every month.

Even better, as you can include links in your answers, these answers can send some nice referral traffic your way.

11. Find how fast your competitors are publishing new content

Combine the site: operator with before: and/or after: operators to find out how much content any competitor has published in a given time period.

For example, here’s how many posts another SEO blog published in December 2022: 

Checking a competitor's publishing pace using the site:, after:, and before: operators

And here’s how many it published in the whole of 2022:

Checking Search Engine Land's publishing pace using the site:, after:, and before: operators

Just be aware that this operator isn’t always 100% accurate, as it includes updated pages.

For example, the search below returns a post with January 25, 2022, attached to it:

Misleading result from using these search operators

But if we plug that post’s URL into Ahrefs’ Site Explorer, we see that it’s been attracting organic traffic since 2019. So it must have existed long before 2022.

Estimated organic traffic to the misleading results, via Ahrefs' Site Explorer

If you’re an Ahrefs user and want a more accurate way to see a competitor’s publishing frequency, run a site: search in Content Explorer and filter for “Pages published once.” 

Filtering for pages from Search Engine Land that were first published in the last 12 months in Ahrefs' Content Explorer

Final thoughts

Google advanced search operators are super powerful. You just have to know how to use them.

But I have to admit that some are more useful than others, especially when it comes to SEO. I find myself using site:, intitle:, and inurl: often. Yet I rarely use allintitle: and many of the other more obscure operators.

I’d also add that many operators are borderline useless unless paired with another operator, or two, or three.

So do play around with them and let me know what you come up with. 

I’d be more than happy to add any useful combinations you discover to the post. 

Got questions? Ping me on Twitter.



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Holistic Marketing Strategies That Drive Revenue [SaaS Case Study]

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Holistic Marketing Strategies That Drive Revenue [SaaS Case Study]

Brands are seeing success driving quality pipeline and revenue growth. It’s all about building an intentional customer journey, aligning sales + marketing, plus measuring ROI. 

Check out this executive panel on-demand, as we show you how we do it. 

With Ryann Hogan, senior demand generation manager at CallRail, and our very own Heather Campbell and Jessica Cromwell, we chatted about driving demand, lead gen, revenue, and proper attribution

This B2B leadership forum provided insights you can use in your strategy tomorrow, like:

  • The importance of the customer journey, and the keys to matching content to your ideal personas.
  • How to align marketing and sales efforts to guide leads through an effective journey to conversion.
  • Methods to measure ROI and determine if your strategies are delivering results.

While the case study is SaaS, these strategies are for any brand.

Watch on-demand and be part of the conversation. 

Join Us For Our Next Webinar!

Navigating SERP Complexity: How to Leverage Search Intent for SEO

Join us live as we break down all of these complexities and reveal how to identify valuable opportunities in your space. We’ll show you how to tap into the searcher’s motivation behind each query (and how Google responds to it in kind).

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What Marketers Need to Learn From Hunter S. Thompson

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What Marketers Need to Learn From Hunter S. Thompson

We’ve passed the high-water mark of content marketing—at least, content marketing in its current form.

After thirteen years in content marketing, I think it’s fair to say that most of the content on company blogs was created by people with zero firsthand experience of their subject matter. We have built a profession of armchair commentators, a class of marketers who exist almost entirely in a world of theory and abstraction.

I count myself among their number. I have hundreds of bylines about subfloor moisture management, information security, SaaS pricing models, agency resource management. I am an expert in none of these topics.

This has been the happy reality of content marketing for over a decade, a natural consequence of the incentives created by early Google Search. Historically, being a great content marketer required precisely no subject matter expertise. It was enough to read widely and write quickly.

Mountains of organic traffic have been built on the backs of armchair commentators like myself. Time spent doing deep, detailed research was, generally speaking, wasted, because 80% of the returns came from simply shuffling other people’s ideas around and slapping a few keyword-targeted H2s in the right places.

But this doesn’t work today.

For all of its flaws, generative AI is an excellent, truly world-class armchair commentator. If the job-to-be-done is reading a dozen articles and how-to’s and turning them into something semi-original and fairly coherent, AI really is the best tool for the job. Humans cannot out-copycat generative AI.

Put another way, the role of the content marketer as a curator has been rendered obsolete. So where do we go from here?

“The only way to write honestly about the scene is to be part of it.”
—Hunter S. Thompson, Hell’s Angels“The only way to write honestly about the scene is to be part of it.”
—Hunter S. Thompson, Hell’s Angels

Hunter S. Thompson popularised the idea of gonzo journalism, “a style of journalism that is written without claims of objectivity, often including the reporter as part of the story using a first-person narrative.”

In other words, Hunter was the story.

When asked to cover the rising phenomenon of the Hell’s Angels, he became a Hell’s Angel. During his coverage of the ‘72 presidential campaign, he openly supported his preferred candidate, George McGovern, and actively disparaged Richard Nixon. His chronicle of the Kentucky Derby focused almost entirely on his own debauchery and chaos-making—a story that has outlasted any factual account of the race itself.

In the same vein, content marketers today need to become their stories.

It’s a content marketing truism that it’s unreasonable to expect writers to become experts. There’s a superficial level of truth to that claim—no content marketer can acquire a decade’s worth of experience in a few days or weeks—but there are great benefits awaiting any company willing to challenge that truism very, very seriously.

As Thompson proved, short, intense periods of firsthand experience can yield incredible insights and stories. So what would happen if you radically reduced your content output and dedicated half of your content team’s time to research and experimentation? If their job was doing things worth writing about, instead of just writing? If skin-in-the-game, no matter how small, was a prerequisite of the role?

We’re already seeing this shift.

“The closest analogy to the ideal would be a film director/producer who writes his own scripts, does his own camera work and somehow manages to film himself in action, as the protagonist or at least a main character.”
—Hunter S. Thompson, The Great Shark Hunt“The closest analogy to the ideal would be a film director/producer who writes his own scripts, does his own camera work and somehow manages to film himself in action, as the protagonist or at least a main character.”
—Hunter S. Thompson, The Great Shark Hunt

Every week, I see more companies hiring marketers who are true, bonafide subject matter experts (I include the Ahrefs content team here—for the majority of our team, “writing” is a skill secondary to a decade of hands-on search and marketing experience). They are expensive, hard to find, and in the era of AI, worth every cent.

I see a growing expectation that marketers will document their experiences and experiments on social media, creating meta-content that often outperforms the “real” content. I see more companies willing to share subjective experiences and stories, and avoid competing solely on the sharing of objective, factual information. I see companies spending money to promote the personal brands of in-house creators, actively encouraging parasocial relationships as their corporate brand accounts lay dormant.

These are ideas that made no sense in the old model of content marketing, but they make much more sense today. This level of effort is fast becoming the only way to gain any kind of moat, creating material that doesn’t already exist on a dozen other company blogs.

In the era of information abundance, our need for information is relatively easy to sate; but we have a near-limitless hunger for entertainment, and personal interaction, and weird, pattern-interrupting experiences.

Gonzo content marketing can deliver.

“But what was the story? Nobody had bothered to say. So we would have to drum it up on our own.”
—Hunter S. Thompson, Fear and Loathing in Las Vegas“But what was the story? Nobody had bothered to say. So we would have to drum it up on our own.”
—Hunter S. Thompson, Fear and Loathing in Las Vegas

 

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I Got 129.7% More Traffic With Related Keywords

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I Got 129.7% More Traffic With Related Keywords

A few weeks ago, I optimized one of my blog posts for related keywords. Today, it gets an estimated 2,300 more monthly organic visits:

In this post, I’ll show you how I found and optimized my post for these related keywords.

Related keywords are words and phrases closely linked to your main keyword. There are many ways to find them. You can even just ask ChatGPT.

ChatGPT can find related keywords... but I wouldn't recommend using it for thisChatGPT can find related keywords... but I wouldn't recommend using it for this

But here’s the thing: These keywords aren’t useful for optimizing content.

If more traffic is your goal, you need to find keywords that represent subtopics—not just any related ones.

Think of it like this: you improve a recipe by adding the right ingredients, not everything in your fridge!

Not all related keywords are created equal when it comes to optimizationNot all related keywords are created equal when it comes to optimization

Below are two methods for finding the right related keywords (including the one I used):

Method 1. Use content optimization tools

Content optimization tools look for keywords on other top-ranking pages but not yours. They usually then recommend adding these keywords to your content a certain number of times.

Example recommendation from a content optimization toolExample recommendation from a content optimization tool

These tools can be useful if you take their recommendations with a pinch of salt, as some of them can lead you astray.

For example, this tool recommends that I add six mentions of the phrase “favorite features” to our keyword research guide.

Example of how these tools can lead you astrayExample of how these tools can lead you astray

Does that seem like an important related keyword to you? It certainly doesn’t to me!

They also usually have a content score that increases as you add the recommended related keywords. This can trick you into believing that something is important when it probably isn’t—especially as content scores have a weak correlation with rankings.

From our study on content score ranking correlationsFrom our study on content score ranking correlations

My advice? If you’re going to use these tools, apply common sense and look for recommendations that seem to represent important subtopics.

For example, when I analyze our content audit guide, it suggests adding quite a few keywords related to content quality.

This is something we should definitely improve!This is something we should definitely improve!

It doesn’t take a genius to work out that this is an extremely important consideration for a content audit—yet our guide mentions nothing about it.

How silly of us :(How silly of us :(

This is a huge oversight and definitely a batch of related keywords worth optimizing for.

Try the beta version of our new AI Content Helper!

Instead of counting terms that you need to include in your content, Content Helper uses AI to identify the core topics for your target keywords and scores your content (as well as your competitors) against those topics as you write it. In effect, it groups related keywords by subtopic, making it easier to optimize for the broader picture. 

Our new AI Content HelperOur new AI Content Helper

For example, it looks like my post doesn’t cover Google Business Profile optimization too well. This is something it might be worth going into more detail about.

Example subtopic recommendationExample subtopic recommendation

Method 2. Do a keyword gap analysis (this is the method I used!)

Keyword gaps are when competitors rank for keywords you don’t. If you do this analysis at the page level, it’ll uncover related keywords—some of which will usually represent subtopics.

If possible, I recommend doing this for pages that already rank on the first page for their main target keyword. These pages are doing well already and likely just need a bit of a push to rank high and for more related keywords. You can find these in Site Explorer:

  1. Enter your domain
  2. Go to the Organic Keywords report
  3. Filter for positions 2-10
  4. Look for the main keywords you’re targeting
How to find the best pages to optimize for related keywordsHow to find the best pages to optimize for related keywords

Once you have a few contenders, here’s how to do a keyword gap analysis:

a) Find competitors who are beating you

In the Organic Keywords report, hit the SERP dropdown next to the keyword to see the current top-ranking pages. Look for similar pages that are getting more traffic than yours and have fewer referring domains.

For example, our page ranks #10 for “local SEO,” has 909 referring domains, and gets an estimated 813 monthly visits:

Estimated traffic and referring domain stats for our pageEstimated traffic and referring domain stats for our page

All of these competing pages get more traffic with fewer backlinks:

Competitors with fewer links getting more trafficCompetitors with fewer links getting more traffic

Sidenote.

I’m going to exclude the page from Moz going forward as it’s a blog category page. That’s very different to ours so it’s probably not worth including in our analysis.

b) Send them to the content gap tool

Hit the check boxes next to your competitors, then click “Open In” and choose Content gap.

How to open pages in Content GapHow to open pages in Content Gap

By default, this will show you keywords where one or more competitors rank in the top 10, but you don’t rank anywhere in the top 100.

Content Gap report in AhrefsContent Gap report in Ahrefs

I recommend changing this so it shows all keywords competitors rank for, even if you also rank for them. This is because you may still be able to better optimize for related keywords you already rank for.

I recommend toggling this to "Any"I recommend toggling this to "Any"

I also recommend turning the “Main results only” filter on to exclude rankings in sitelinks and other SERP features:

... And toggle this on!... And toggle this on!

c) Look for related keywords worth optimizing for

This is where common sense comes into play. Your task is to scan the list for related keywords that could represent important subtopics.

For example, keywords like these aren’t particularly useful because they’re just different ways of searching for the main topic of local SEO:

These are just different ways of searching for the same thing, not "related keywords"These are just different ways of searching for the same thing, not "related keywords"

But a related keyword like “what is local SEO” is useful because it represents a subtopic searchers are looking for:

If this process feels too much like trying to find a needle in a haystack, try exporting the full list of keywords, pasting them into Keywords Explorer, and going to the “Cluster by terms” report. As the name suggests, this groups keywords into clusters by common terms:

Use term clustering to spot trendsUse term clustering to spot trends

This is useful because it can highlight common themes among related keywords and helps you to spot broader gaps.

For example, when I was looking for related keywords for our SEO pricing guide (more on this later!), I saw 17 related keywords containing the term “month”:

Term clustering reveals that lots of people are searching for monthly SEO pricing in different waysTerm clustering reveals that lots of people are searching for monthly SEO pricing in different ways

Upon checking the keywords, I noticed that they’re all ways of searching for how much SEO costs per month:

Term clustering reveals that lots of people are searching for monthly SEO pricing in different waysTerm clustering reveals that lots of people are searching for monthly SEO pricing in different ways

This is an easy batch of related keywords to optimize for. All I need to do is answer that question in the post.

If you’re still struggling to spot good related keywords, look for ones sending competing pages way more traffic than you. This usually happens because competitors’ pages are better optimized for those terms.

You can spot these in the content gap report by comparing the traffic columns.

For example, every competing page is getting more traffic than us for the keyword “how much does SEO cost”—and Forbes is getting over 300 more visits!

Competing pages beating us on traffic!Competing pages beating us on traffic!

Now you have a bunch of related keywords, what should you do with them?

This is a nuanced process, so I’m going to show you exactly how I did it for our local SEO guide. Its estimated organic traffic grew by 135% after my optimizations for related keywords:

Results of related keyword optimization: 129.7% more trafficResults of related keyword optimization: 129.7% more traffic

Sidenote.

Google kindly rolled out a Core update the day after I did these optimizations, so there’s always a chance the traffic increase is unrelated. That said, traffic to our blog as a whole stayed pretty consistent after the update, while this post’s traffic grew massively. I’m pretty sure the related keyword optimization is what caused this.

Here are the related keywords I optimized it for and how:

Related keyword 1: “What is local SEO”

Every competing page was getting significantly more traffic than us for this keyword (and ranking significantly higher). One page was even getting an estimated 457 more visits than ours per month:

Competitors were getting significantly more traffic than us for this keywordCompetitors were getting significantly more traffic than us for this keyword

People were also searching for this in a bunch of different ways:

People are searching for the subtopic in a bunch of different ways tooPeople are searching for the subtopic in a bunch of different ways too

My theory on why we weren’t performing well for this? Although we did have a definition on the page, it wasn’t great. It was also buried under a H3 with a lot of fluff to read before you get to it.

Our guide is full of fluff before getting to what people want to know!Our guide is full of fluff before getting to what people want to know!

I tried to solve this by getting rid of the fluff, improving the definition (with a little help from ChatGPT), and moving it under a H2.

Solution = remove the fluff!Solution = remove the fluff!

Result? The page jumped multiple positions for the keyword “what is local SEO” and a few other similar related keywords:

Result = higher rankings for this keyword and variationsResult = higher rankings for this keyword and variations

Related keyword 2: Local SEO strategy

Once again, all competing pages were getting more traffic than ours from this keyword.

I feel like the issue here may be that there’s no mention of “strategy” in our post, whereas competitors mention it multiple times.

Our post doesn't mention "strategy"!Our post doesn't mention "strategy"!

To solve this, I added a short section about local SEO strategy.

The section I added to the postThe section I added to the post

I also asked ChatGPT to add “strategy” to the definition of local SEO. (I’m probably clutching at straws with this one, but it reads nicely with the addition, so… why not?)

Getting ChatGPT to help ;)Getting ChatGPT to help ;)

Result? The page jumped seven positions from the bottom of page two to page one for the related keyword:

Result = higher rankingsResult = higher rankings

Related keyword 3: “How to do local SEO”

Most of the competing pages were getting more traffic than us for this keyword—albeit not a lot.

However, I also noticed Google shows this keyword in the “things to know” section when you search for local SEO—so it seems pretty important.

Google seems to indicate the importance of this subtopicGoogle seems to indicate the importance of this subtopic

I’d also imagine that anyone searching for local SEO wants to know how to do it.

Unfortunately, although our guide does show you how to do local SEO, it’s kind of buried in a bunch of uninspiring chapters. There’s no obvious “how to do it” subheading for readers (or Google) to skim, so you have to read between the lines to figure out the “how.”

Again, the information is unnecessarily buried in our guideAgain, the information is unnecessarily buried in our guide

In an attempt to solve this, I restructured the content into steps and put it under a new H2 titled “How to do local SEO”:

This looks much better after restructuring!This looks much better after restructuring!

Result? Position #7 → #4

Result = higher rankingsResult = higher rankings

No. Nothing in SEO is guaranteed, and this is no different.

In fact, I optimized our SEO pricing guide for related keywords on the same day, and—although traffic did improve—it only improved by around 23%:

23% traffic improvement to our SEO pricing guide23% traffic improvement to our SEO pricing guide

Sidenote.

You might have noticed the results were a bit delayed here. I think this is because the keywords the post ranks for aren’t so popular, so they’re not updated as often in Ahrefs.

For full transparency, here’s every related keyword I optimized the post for and the results:

Related keyword 1: “How much does SEO cost”

Each competing page got more traffic than ours from this keyword, with one getting an estimated 317 more monthly visits:

When I clustered the keywords by terms in Keywords Explorer, I also saw ~70 keywords containing the word “much” (this was around 19% of all keywords in the Content Gap report!):

Lots of searches for keywords containing "much"Lots of searches for keywords containing "much"

These were all different ways of searching for how much SEO costs:

Examples of keywords containing "much"Examples of keywords containing "much"

The issue here appears to be that although we do answer the question on the page, it’s quite buried. There’s no obvious subheading with the answer below it, making it hard for searchers (and possibly Google) to skim and find what they’re looking for:

To solve this, I added a H2 titled “How much does SEO cost?” and added a direct answer below.

Section I added to the postSection I added to the post

Result? No change in rankings for the related keyword itself, but the page did win a few snippets for longer-tail variations thanks to the copy I added:

Example featured snippet won thanks to the new sectionExample featured snippet won thanks to the new section

Related keyword 2: “SEO cost per month”

Nearly all competing pages were getting more traffic than us for this keyword, with one getting an estimated 72 monthly visits more than more us.

The term clustering report in Keywords Explorer also showed that people are searching for the monthly cost of SEO in different ways:

Lots of searches for keywords containing "month"Lots of searches for keywords containing "month"

This is not the case for hourly or retainer pricing; there are virtually no searches for this.

I think we’re not ranking for this because we haven’t prioritized this information on the page. The first subheading is all about hourly pricing, which nobody cares about. Monthly pricing data is buried below that.

Example of me burying important information yet again :(Example of me burying important information yet again :(

To fix this, I moved the data on monthly pricing further up the page and wrote a more descriptive subheading (“Monthly retainer pricing” →“Monthly retainer pricing: How much does SEO cost per month?”).

I also changed the key takeaways in the intro to focus more on monthly pricing, as this is clearly what people care about. Plus, I simplified it and made it more prominent so searchers can find the information they’re actually looking for faster.

How I improved the introHow I improved the intro

Result? The page won the featured snippet for this related keyword and a few other variations:

Result = many snippets wonResult = many snippets won

Related keyword 3: “Local SEO pricing”

I found this one in the term clustering report in Keywords Explorer, as 16 keywords contained the term “local.”

Lots of people are searching for local SEO pricing in various waysLots of people are searching for local SEO pricing in various ways

Upon further inspection, I realized these were all different ways of searching for the cost of local SEO services.

Examples of how people are searchingExamples of how people are searching

I think the problem here is although our post has some data on local SEO pricing, it doesn’t have the snappy figure searchers are likely looking for. Plus, even the information we did have was buried deep on the page.

So… I actually pulled new statistics from the data we collected for the post, then put them under a new H3 titled “How much does local SEO cost?”

New section I addedNew section I added

Result? Small but notable improvements for this keyword and a few other variations:

Results = improved rankings across many related keywordsResults = improved rankings across many related keywords

Related keyword 4: “How much does SEO cost for a small business”

I saw that one competing page was getting an estimated 105 more monthly organic visits than us from this term.

When clustering by terms in Keywords Explorer, I also saw a cluster of nine keywords containing the word “small.” These were all different ways of searching for small business SEO pricing:

Lots of people searching for small business SEO pricing in various waysLots of people searching for small business SEO pricing in various ways

Once again, the issue here is clear: the information people are looking for isn’t on the page. There’s not even a mention of small businesses.

Our post mentions nothing about this :( Our post mentions nothing about this :(

This is good as it means the solution is simple: add an answer to the page. I did this and put it under a new H3 titled “How much does SEO cost for small businesses?”

New section I addedNew section I added

Result? #15 → #5 for this related keyword, and notable improvements for a few other variations:

Results = improved rankings for many related keywordsResults = improved rankings for many related keywords

Related keyword 5: “SEO pricing models”

This related keyword probably isn’t that important, but I spotted it looking through the Content gap report and thought it’d be pretty easy to optimize for.

All I did was create a new H2 titled “SEO pricing models: a deeper breakdown of costs.” I then briefly explained the three common pricing models under this and re-jigged and nested the rest of the content from the page under there.

New section I added, with existing content nested withinNew section I added, with existing content nested within

Result? #5 → #1:

Result = higher rankingsResult = higher rankings

Final thoughts

Related keyword optimization isn’t about shoehorning a bunch of keyword variations into your content. Google is smart enough to know that things like “SEO” and “search engine optimization” mean the same thing.

Instead, look for keywords that represent subtopics and make sure you’re covering them well. This might involve adding a new section or reformatting an existing section for more clarity.

This is easy to do. It took me around 2-3 hours per page.

Got questions? Ping me on X or LinkedIn.



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