I asked the SEO community and a few experts to share advanced SEO tactics that are working for them.
I received 107 replies and had the opportunity to explore where people draw the line between basic and advanced skills in our industry.
Here’s everything people considered advanced, ranked based on the frequency of mentions.
If you’re wondering how to progress in your SEO career, these are the sorts of skills you’ll need to develop.
Here are my 8 personal favorites and how to get started with them.
search experience optimization and focuses on a searcher’s journey from the moment they search until they convert.
You can also get more granular and look at specific user experience elements on your website that could be impacting your SEO performance. For example, Cyrus Shepard has seen big improvements in his client’s SEO campaigns by working on UX elements like:
- Reducing ad density, particularly fixed-video ad
- Removing browser notifications
- Simplifying navigation
- Improving contact information visibility
- Clarifying site identity (logo + tagline)
Either way, combining SEO with UX and CRO can yield big gains, so it’s a worthwhile skill to learn.
Old El Paso girl.
Blending paid ads with SEO is an essential strategy for businesses to generate more leads and a faster return on investment. They’re complimentary channels, and you can use one to overcome the shortcomings of the other.
For example, local businesses can generate many leads directly from Google with:
- Local service ads
- Pay-per-click ads
- Local and map pack SEO
- Traditional SEO
With the help of paid ads, they can earn phone calls within the first few weeks of the campaign instead of waiting months for SEO to kick in.
Topic clustering is a core aspect of SEO. However, most people don’t consider it an “advanced” tactic on its own, as it’s become a staple of creating strategic content for SEO nowadays.
If you’re new to topic clustering, it involves:
- Gathering a list of keywords
- Grouping the ones with similar intent together
- Creating content to target each group
- Interlinking between each post
Here’s an example of what a cluster might look like:
You can easily spot potential clusters for your topic using Ahrefs’ clustering reports in Keywords Explorer.
Enter your main keyword, and then in the Matching terms report, check out clusters by parent topic or terms.
This technique allows your content to rank for a variety of keywords and to improve your website’s coverage of a topic. It can also help your brand be perceived as an authority on the topic.
Further reading
Advanced keyword clustering
If you want to take things up a notch or two, you can also create your own intent identification and clustering model using a combination of SEO APIs and machine learning models.
This is not for the faint of heart, but it was widely acknowledged as an advanced SEO tactic that people use to get results.
For instance, you can pull a keyword list using the Ahrefs API, use a large language model to identify each keyword’s intent, and then use a model like BERT or a custom-trained clustering model to create your keyword clusters automatically.
Many SEO experts, including Patrick Stox, Nik Ranger, Sally Mills, and others, are seeing success with similar methods. Here’s an example of how Sally has implemented this:
If you’re an in-house SEO or working on a large website, you need to find ways of automating tasks like topic clustering for a huge keyword list, especially if you’re working with a limited budget.
Ahrefs Evolve’s lineup, I uncovered some pretty cool advanced use cases of AI and machine learning for SEO.
In addition to Sally’s clustering method above, here are some other examples.
Automate multi-lingual keyword translation
One of my favorite use cases of AI for SEO is for translating keywords to fast-track international SEO.
Using Ahrefs’ new AI keyword translator makes this process so quick, smooth, and easy by:
- Automatically translating your entire list of keywords with one click
- Preserving local lingo and the nuances of each dialect
- Allowing you to see search metrics for each translated variation
- Helping you discover multiple translation options for each keyword
For example, there are dozens of ways to say “popcorn” in Spanish dialects.
Instead of offering a single option, our translator shows you multiple variations to consider while also localizing these variations to your target region!
Since international SEO was one of the top “advanced” SEO skills mentioned, any way you can make the process easier and faster is a bonus.
AI can also help you squeeze more juice out of a tight budget by streamlining your workflow and saving hours on tasks that would otherwise be very time-intensive.
Automate redirect mapping with AI
I love Patrick’s approach to automating redirects for large sites. In a nutshell, the process looks like this:
If this use case sounds interesting, feel free to check out the exact redirect-matching script he uses. Once configured, it automatically runs through the above process for you.
Internal link optimization, en masse
Internal linking is an area folks are automating with AI in different ways.
For instance, Kashif Riaz uses Gemini + ChatGPT to read his sitemap and develop contextually relevant anchor texts for each URL that he can use for internal links.
As a simple process, you could:
- Give ChatGPT a URL
- Ask it for relevant phrases that would be good as internal link anchors
- Search Ahrefs’ Page Explorer for pages that include these phrases
Page Explorer is a report within Site Audit. You can search for any phrase in your website’s page text and get a list of pages that include it.
It’s a great way to jumpstart internal linking for a new site that isn’t already ranking for keywords.
If you’re working on a site with URLs like example.com/363863852itwiy (ew, I feel for you), you can also try a more advanced approach.
Nik Ranger blew my mind when I first saw her present on how she and the team at Dejan SEO are using machine learning to automate internal linking at a large scale.
For instance, their innovative process:
- Creates a link graph of an existing website
- Pairs the link graph with Search Console data
- Uses vector embeddings to incorporate a page’s title, headings, and content into recommendations
- Recommends internal links and anchor text
The model they’ve built can recommend internal links even if the URLs don’t contain any words or contextual clues. Normally, finding appropriate internal links on sites with these issues is incredibly challenging, but clever uses of AI make it a lot easier!
As large language models improve their contextual understanding of language, we’ll likely see more innovative use cases for SEO like this.
Further reading
using Reddit to find golden keyword opportunities. His process is based on the premise that people ask for the same thing in many different ways.
He uses this redundancy to his advantage by:
- Identifying information gaps he can easily close
- Finding low-competition keywords that are overlooked by competitors
For instance, he shares a great example of the keyword “does oat milk cause acne”…
At first glance, it has a seemingly low search volume.
However, this is deceptive because people search for answers to this question in a bunch of different ways and the sum total of all their searches will yield a much higher monthly search volume.
Not to mention that Reddit ranks in the top three positions, with many people asking the same question in different ways:
What’s more fascinating, though, is that there’s no competition for it.
With a difficulty score of 0, it shouldn’t be too difficult for a new skincare brand to rank for this topic above more established competitors. It can also join the conversations on Reddit and provide a clear and trustworthy answer to plug this information gap.
This strategy, rolled out across dozens of similar low-competition topics, can become an easy way for new or establishing brands to enter a competitive market.
Using social media for SEO
You can also use other social channels to help your SEO efforts. At Ahrefs, we use multiple channels to reach our audience like YouTube, LinkedIn, Facebook and X.
I reached out to Sam, the VP of Marketing here at Ahrefs. He also runs our YouTube channel, and he shared some tips you can try out if you want to expand your SEO skills by integrating social media.
As a simple process, you can start by:
- Finding video keywords that relate to your existing blog content
- Repurposing your blog content into videos
For instance, check out your website’s organic keywords in Ahrefs Site Explorer and filter for keywords in the top 10 positions only.
Remove any branded keywords and then copy the top 10,000 keywords:
Pop these into Keywords Explorer and check out the Traffic share by domain report for an idea of how well YouTube ranks for keywords in this list:
You can also use the SERP feature filter and include only keywords that contain a video on the SERP:
Doing this gives you a feel for how video-friendly a particular topic is. You can also create a list of exact keywords to target with a video strategy.
This method has helped Ahrefs get loads of high-retention views from search. We also pair this with native YouTube optimization to increase our organic visibility within the YouTube ecosystem.
But, when it comes to creating social media content from blogs, it’s important that you don’t just re-word the blog post. You’ve got to match the content to the platform to retain your audience’s attention.
For example, we’ve published a handful of long-form blog posts on link building strategies and tactics. Each covers different angles, like:
However, Sam has also created a video but has selected an angle that’s a better fit for audiences on YouTube:
And, we’ve also published many social posts about it, adapting the content to fit the native audience of each platform, like this short and sweet LinkedIn post:
When integrating social media into your strategy, the end goal will often be about more than just rankings.
Conversion or leading someone closer to a conversion is more important in most cases.
Further reading
Here are some additional posts you can check out to learn more about how to incorporate social media into your SEO strategy.
Key takeaways
Advanced SEO means different things to different people. However, one thing’s clear.
Those who go beyond the basics are the ones who not only deliver better results to clients but also unlock more opportunities to grow in their careers.
If you’d like to learn more advanced SEO tips from experts, come to Ahrefs Evolve 😉
Most of the experts mentioned in this post will be there sharing their latest and greatest advice.
Having said that, it’s also important to remember the basics. Never cut corners because you’re chasing some new “advanced” tactic. Rather, add advanced skills on top of the foundation of the tried-and-true fundamentals.
I’m not a fan of tactics, but I am all about consistently doing the basics – doing keyword research, creating solid content, making sure they are SEO friendly, and working hard to acquire links.
Doing this alone has lasted us decades in SEO, avoiding all the Google penalties along the way!
If you’ve got thoughts to share or advanced techniques working well for you right now, reach out on LinkedIn.
You can also get more granular and look at specific user experience elements on your website that could be impacting your SEO performance. For example, Cyrus Shepard has seen big improvements in his client’s SEO campaigns by working on UX elements like:
- Reducing ad density, particularly fixed-video ad
- Removing browser notifications
- Simplifying navigation
- Improving contact information visibility
- Clarifying site identity (logo + tagline)
Either way, combining SEO with UX and CRO can yield big gains, so it’s a worthwhile skill to learn.
Old El Paso girl.
Blending paid ads with SEO is an essential strategy for businesses to generate more leads and a faster return on investment. They’re complimentary channels, and you can use one to overcome the shortcomings of the other.
For example, local businesses can generate many leads directly from Google with:
- Local service ads
- Pay-per-click ads
- Local and map pack SEO
- Traditional SEO
With the help of paid ads, they can earn phone calls within the first few weeks of the campaign instead of waiting months for SEO to kick in.
Topic clustering is a core aspect of SEO. However, most people don’t consider it an “advanced” tactic on its own, as it’s become a staple of creating strategic content for SEO nowadays.
If you’re new to topic clustering, it involves:
- Gathering a list of keywords
- Grouping the ones with similar intent together
- Creating content to target each group
- Interlinking between each post
Here’s an example of what a cluster might look like:
You can easily spot potential clusters for your topic using Ahrefs’ clustering reports in Keywords Explorer.
Enter your main keyword, and then in the Matching terms report, check out clusters by parent topic or terms.
This technique allows your content to rank for a variety of keywords and to improve your website’s coverage of a topic. It can also help your brand be perceived as an authority on the topic.
Further reading
Advanced keyword clustering
If you want to take things up a notch or two, you can also create your own intent identification and clustering model using a combination of SEO APIs and machine learning models.
This is not for the faint of heart, but it was widely acknowledged as an advanced SEO tactic that people use to get results.
For instance, you can pull a keyword list using the Ahrefs API, use a large language model to identify each keyword’s intent, and then use a model like BERT or a custom-trained clustering model to create your keyword clusters automatically.
Many SEO experts, including Patrick Stox, Nik Ranger, Sally Mills, and others, are seeing success with similar methods. Here’s an example of how Sally has implemented this:
If you’re an in-house SEO or working on a large website, you need to find ways of automating tasks like topic clustering for a huge keyword list, especially if you’re working with a limited budget.
Ahrefs Evolve’s lineup, I uncovered some pretty cool advanced use cases of AI and machine learning for SEO.
In addition to Sally’s clustering method above, here are some other examples.
Automate multi-lingual keyword translation
One of my favorite use cases of AI for SEO is for translating keywords to fast-track international SEO.
Using Ahrefs’ new AI keyword translator makes this process so quick, smooth, and easy by:
- Automatically translating your entire list of keywords with one click
- Preserving local lingo and the nuances of each dialect
- Allowing you to see search metrics for each translated variation
- Helping you discover multiple translation options for each keyword
For example, there are dozens of ways to say “popcorn” in Spanish dialects.
Instead of offering a single option, our translator shows you multiple variations to consider while also localizing these variations to your target region!
Since international SEO was one of the top “advanced” SEO skills mentioned, any way you can make the process easier and faster is a bonus.
AI can also help you squeeze more juice out of a tight budget by streamlining your workflow and saving hours on tasks that would otherwise be very time-intensive.
Automate redirect mapping with AI
I love Patrick’s approach to automating redirects for large sites. In a nutshell, the process looks like this:
If this use case sounds interesting, feel free to check out the exact redirect-matching script he uses. Once configured, it automatically runs through the above process for you.
Internal link optimization, en masse
Internal linking is an area folks are automating with AI in different ways.
For instance, Kashif Riaz uses Gemini + ChatGPT to read his sitemap and develop contextually relevant anchor texts for each URL that he can use for internal links.
As a simple process, you could:
- Give ChatGPT a URL
- Ask it for relevant phrases that would be good as internal link anchors
- Search Ahrefs’ Page Explorer for pages that include these phrases
Page Explorer is a report within Site Audit. You can search for any phrase in your website’s page text and get a list of pages that include it.
It’s a great way to jumpstart internal linking for a new site that isn’t already ranking for keywords.
If you’re working on a site with URLs like example.com/363863852itwiy (ew, I feel for you), you can also try a more advanced approach.
Nik Ranger blew my mind when I first saw her present on how she and the team at Dejan SEO are using machine learning to automate internal linking at a large scale.
For instance, their innovative process:
- Creates a link graph of an existing website
- Pairs the link graph with Search Console data
- Uses vector embeddings to incorporate a page’s title, headings, and content into recommendations
- Recommends internal links and anchor text
The model they’ve built can recommend internal links even if the URLs don’t contain any words or contextual clues. Normally, finding appropriate internal links on sites with these issues is incredibly challenging, but clever uses of AI make it a lot easier!
As large language models improve their contextual understanding of language, we’ll likely see more innovative use cases for SEO like this.
Further reading
using Reddit to find golden keyword opportunities. His process is based on the premise that people ask for the same thing in many different ways.
He uses this redundancy to his advantage by:
- Identifying information gaps he can easily close
- Finding low-competition keywords that are overlooked by competitors
For instance, he shares a great example of the keyword “does oat milk cause acne”…
At first glance, it has a seemingly low search volume.
However, this is deceptive because people search for answers to this question in a bunch of different ways and the sum total of all their searches will yield a much higher monthly search volume.
Not to mention that Reddit ranks in the top three positions, with many people asking the same question in different ways:
What’s more fascinating, though, is that there’s no competition for it.
With a difficulty score of 0, it shouldn’t be too difficult for a new skincare brand to rank for this topic above more established competitors. It can also join the conversations on Reddit and provide a clear and trustworthy answer to plug this information gap.
This strategy, rolled out across dozens of similar low-competition topics, can become an easy way for new or establishing brands to enter a competitive market.
Using social media for SEO
You can also use other social channels to help your SEO efforts. At Ahrefs, we use multiple channels to reach our audience like YouTube, LinkedIn, Facebook and X.
I reached out to Sam, the VP of Marketing here at Ahrefs. He also runs our YouTube channel, and he shared some tips you can try out if you want to expand your SEO skills by integrating social media.
As a simple process, you can start by:
- Finding video keywords that relate to your existing blog content
- Repurposing your blog content into videos
For instance, check out your website’s organic keywords in Ahrefs Site Explorer and filter for keywords in the top 10 positions only.
Remove any branded keywords and then copy the top 10,000 keywords:
Pop these into Keywords Explorer and check out the Traffic share by domain report for an idea of how well YouTube ranks for keywords in this list:
You can also use the SERP feature filter and include only keywords that contain a video on the SERP:
Doing this gives you a feel for how video-friendly a particular topic is. You can also create a list of exact keywords to target with a video strategy.
This method has helped Ahrefs get loads of high-retention views from search. We also pair this with native YouTube optimization to increase our organic visibility within the YouTube ecosystem.
But, when it comes to creating social media content from blogs, it’s important that you don’t just re-word the blog post. You’ve got to match the content to the platform to retain your audience’s attention.
For example, we’ve published a handful of long-form blog posts on link building strategies and tactics. Each covers different angles, like:
However, Sam has also created a video but has selected an angle that’s a better fit for audiences on YouTube:
And, we’ve also published many social posts about it, adapting the content to fit the native audience of each platform, like this short and sweet LinkedIn post:
When integrating social media into your strategy, the end goal will often be about more than just rankings.
Conversion or leading someone closer to a conversion is more important in most cases.
Further reading
Here are some additional posts you can check out to learn more about how to incorporate social media into your SEO strategy.
Key takeaways
Advanced SEO means different things to different people. However, one thing’s clear.
Those who go beyond the basics are the ones who not only deliver better results to clients but also unlock more opportunities to grow in their careers.
If you’d like to learn more advanced SEO tips from experts, come to Ahrefs Evolve 😉
Most of the experts mentioned in this post will be there sharing their latest and greatest advice.
Having said that, it’s also important to remember the basics. Never cut corners because you’re chasing some new “advanced” tactic. Rather, add advanced skills on top of the foundation of the tried-and-true fundamentals.
I’m not a fan of tactics, but I am all about consistently doing the basics – doing keyword research, creating solid content, making sure they are SEO friendly, and working hard to acquire links.
Doing this alone has lasted us decades in SEO, avoiding all the Google penalties along the way!
If you’ve got thoughts to share or advanced techniques working well for you right now, reach out on LinkedIn.
Blending paid ads with SEO is an essential strategy for businesses to generate more leads and a faster return on investment. They’re complimentary channels, and you can use one to overcome the shortcomings of the other.
For example, local businesses can generate many leads directly from Google with:
- Local service ads
- Pay-per-click ads
- Local and map pack SEO
- Traditional SEO
With the help of paid ads, they can earn phone calls within the first few weeks of the campaign instead of waiting months for SEO to kick in.
Topic clustering is a core aspect of SEO. However, most people don’t consider it an “advanced” tactic on its own, as it’s become a staple of creating strategic content for SEO nowadays.
If you’re new to topic clustering, it involves:
- Gathering a list of keywords
- Grouping the ones with similar intent together
- Creating content to target each group
- Interlinking between each post
Here’s an example of what a cluster might look like:
You can easily spot potential clusters for your topic using Ahrefs’ clustering reports in Keywords Explorer.
Enter your main keyword, and then in the Matching terms report, check out clusters by parent topic or terms.
This technique allows your content to rank for a variety of keywords and to improve your website’s coverage of a topic. It can also help your brand be perceived as an authority on the topic.
Further reading
Advanced keyword clustering
If you want to take things up a notch or two, you can also create your own intent identification and clustering model using a combination of SEO APIs and machine learning models.
This is not for the faint of heart, but it was widely acknowledged as an advanced SEO tactic that people use to get results.
For instance, you can pull a keyword list using the Ahrefs API, use a large language model to identify each keyword’s intent, and then use a model like BERT or a custom-trained clustering model to create your keyword clusters automatically.
Many SEO experts, including Patrick Stox, Nik Ranger, Sally Mills, and others, are seeing success with similar methods. Here’s an example of how Sally has implemented this:
If you’re an in-house SEO or working on a large website, you need to find ways of automating tasks like topic clustering for a huge keyword list, especially if you’re working with a limited budget.
Ahrefs Evolve’s lineup, I uncovered some pretty cool advanced use cases of AI and machine learning for SEO.
In addition to Sally’s clustering method above, here are some other examples.
Automate multi-lingual keyword translation
One of my favorite use cases of AI for SEO is for translating keywords to fast-track international SEO.
Using Ahrefs’ new AI keyword translator makes this process so quick, smooth, and easy by:
- Automatically translating your entire list of keywords with one click
- Preserving local lingo and the nuances of each dialect
- Allowing you to see search metrics for each translated variation
- Helping you discover multiple translation options for each keyword
For example, there are dozens of ways to say “popcorn” in Spanish dialects.
Instead of offering a single option, our translator shows you multiple variations to consider while also localizing these variations to your target region!
Since international SEO was one of the top “advanced” SEO skills mentioned, any way you can make the process easier and faster is a bonus.
AI can also help you squeeze more juice out of a tight budget by streamlining your workflow and saving hours on tasks that would otherwise be very time-intensive.
Automate redirect mapping with AI
I love Patrick’s approach to automating redirects for large sites. In a nutshell, the process looks like this:
If this use case sounds interesting, feel free to check out the exact redirect-matching script he uses. Once configured, it automatically runs through the above process for you.
Internal link optimization, en masse
Internal linking is an area folks are automating with AI in different ways.
For instance, Kashif Riaz uses Gemini + ChatGPT to read his sitemap and develop contextually relevant anchor texts for each URL that he can use for internal links.
As a simple process, you could:
- Give ChatGPT a URL
- Ask it for relevant phrases that would be good as internal link anchors
- Search Ahrefs’ Page Explorer for pages that include these phrases
Page Explorer is a report within Site Audit. You can search for any phrase in your website’s page text and get a list of pages that include it.
It’s a great way to jumpstart internal linking for a new site that isn’t already ranking for keywords.
If you’re working on a site with URLs like example.com/363863852itwiy (ew, I feel for you), you can also try a more advanced approach.
Nik Ranger blew my mind when I first saw her present on how she and the team at Dejan SEO are using machine learning to automate internal linking at a large scale.
For instance, their innovative process:
- Creates a link graph of an existing website
- Pairs the link graph with Search Console data
- Uses vector embeddings to incorporate a page’s title, headings, and content into recommendations
- Recommends internal links and anchor text
The model they’ve built can recommend internal links even if the URLs don’t contain any words or contextual clues. Normally, finding appropriate internal links on sites with these issues is incredibly challenging, but clever uses of AI make it a lot easier!
As large language models improve their contextual understanding of language, we’ll likely see more innovative use cases for SEO like this.
Further reading
using Reddit to find golden keyword opportunities. His process is based on the premise that people ask for the same thing in many different ways.
He uses this redundancy to his advantage by:
- Identifying information gaps he can easily close
- Finding low-competition keywords that are overlooked by competitors
For instance, he shares a great example of the keyword “does oat milk cause acne”…
At first glance, it has a seemingly low search volume.
However, this is deceptive because people search for answers to this question in a bunch of different ways and the sum total of all their searches will yield a much higher monthly search volume.
Not to mention that Reddit ranks in the top three positions, with many people asking the same question in different ways:
What’s more fascinating, though, is that there’s no competition for it.
With a difficulty score of 0, it shouldn’t be too difficult for a new skincare brand to rank for this topic above more established competitors. It can also join the conversations on Reddit and provide a clear and trustworthy answer to plug this information gap.
This strategy, rolled out across dozens of similar low-competition topics, can become an easy way for new or establishing brands to enter a competitive market.
Using social media for SEO
You can also use other social channels to help your SEO efforts. At Ahrefs, we use multiple channels to reach our audience like YouTube, LinkedIn, Facebook and X.
I reached out to Sam, the VP of Marketing here at Ahrefs. He also runs our YouTube channel, and he shared some tips you can try out if you want to expand your SEO skills by integrating social media.
As a simple process, you can start by:
- Finding video keywords that relate to your existing blog content
- Repurposing your blog content into videos
For instance, check out your website’s organic keywords in Ahrefs Site Explorer and filter for keywords in the top 10 positions only.
Remove any branded keywords and then copy the top 10,000 keywords:
Pop these into Keywords Explorer and check out the Traffic share by domain report for an idea of how well YouTube ranks for keywords in this list:
You can also use the SERP feature filter and include only keywords that contain a video on the SERP:
Doing this gives you a feel for how video-friendly a particular topic is. You can also create a list of exact keywords to target with a video strategy.
This method has helped Ahrefs get loads of high-retention views from search. We also pair this with native YouTube optimization to increase our organic visibility within the YouTube ecosystem.
But, when it comes to creating social media content from blogs, it’s important that you don’t just re-word the blog post. You’ve got to match the content to the platform to retain your audience’s attention.
For example, we’ve published a handful of long-form blog posts on link building strategies and tactics. Each covers different angles, like:
However, Sam has also created a video but has selected an angle that’s a better fit for audiences on YouTube:
And, we’ve also published many social posts about it, adapting the content to fit the native audience of each platform, like this short and sweet LinkedIn post:
When integrating social media into your strategy, the end goal will often be about more than just rankings.
Conversion or leading someone closer to a conversion is more important in most cases.
Further reading
Here are some additional posts you can check out to learn more about how to incorporate social media into your SEO strategy.
Key takeaways
Advanced SEO means different things to different people. However, one thing’s clear.
Those who go beyond the basics are the ones who not only deliver better results to clients but also unlock more opportunities to grow in their careers.
If you’d like to learn more advanced SEO tips from experts, come to Ahrefs Evolve 😉
Most of the experts mentioned in this post will be there sharing their latest and greatest advice.
Having said that, it’s also important to remember the basics. Never cut corners because you’re chasing some new “advanced” tactic. Rather, add advanced skills on top of the foundation of the tried-and-true fundamentals.
I’m not a fan of tactics, but I am all about consistently doing the basics – doing keyword research, creating solid content, making sure they are SEO friendly, and working hard to acquire links.
Doing this alone has lasted us decades in SEO, avoiding all the Google penalties along the way!
If you’ve got thoughts to share or advanced techniques working well for you right now, reach out on LinkedIn.
If you’re new to topic clustering, it involves:
- Gathering a list of keywords
- Grouping the ones with similar intent together
- Creating content to target each group
- Interlinking between each post
Here’s an example of what a cluster might look like:
You can easily spot potential clusters for your topic using Ahrefs’ clustering reports in Keywords Explorer.
Enter your main keyword, and then in the Matching terms report, check out clusters by parent topic or terms.
This technique allows your content to rank for a variety of keywords and to improve your website’s coverage of a topic. It can also help your brand be perceived as an authority on the topic.
Further reading
Advanced keyword clustering
If you want to take things up a notch or two, you can also create your own intent identification and clustering model using a combination of SEO APIs and machine learning models.
This is not for the faint of heart, but it was widely acknowledged as an advanced SEO tactic that people use to get results.
For instance, you can pull a keyword list using the Ahrefs API, use a large language model to identify each keyword’s intent, and then use a model like BERT or a custom-trained clustering model to create your keyword clusters automatically.
Many SEO experts, including Patrick Stox, Nik Ranger, Sally Mills, and others, are seeing success with similar methods. Here’s an example of how Sally has implemented this:
If you’re an in-house SEO or working on a large website, you need to find ways of automating tasks like topic clustering for a huge keyword list, especially if you’re working with a limited budget.
Ahrefs Evolve’s lineup, I uncovered some pretty cool advanced use cases of AI and machine learning for SEO.
In addition to Sally’s clustering method above, here are some other examples.
Automate multi-lingual keyword translation
One of my favorite use cases of AI for SEO is for translating keywords to fast-track international SEO.
Using Ahrefs’ new AI keyword translator makes this process so quick, smooth, and easy by:
- Automatically translating your entire list of keywords with one click
- Preserving local lingo and the nuances of each dialect
- Allowing you to see search metrics for each translated variation
- Helping you discover multiple translation options for each keyword
For example, there are dozens of ways to say “popcorn” in Spanish dialects.
Instead of offering a single option, our translator shows you multiple variations to consider while also localizing these variations to your target region!
Since international SEO was one of the top “advanced” SEO skills mentioned, any way you can make the process easier and faster is a bonus.
AI can also help you squeeze more juice out of a tight budget by streamlining your workflow and saving hours on tasks that would otherwise be very time-intensive.
Automate redirect mapping with AI
I love Patrick’s approach to automating redirects for large sites. In a nutshell, the process looks like this:
If this use case sounds interesting, feel free to check out the exact redirect-matching script he uses. Once configured, it automatically runs through the above process for you.
Internal link optimization, en masse
Internal linking is an area folks are automating with AI in different ways.
For instance, Kashif Riaz uses Gemini + ChatGPT to read his sitemap and develop contextually relevant anchor texts for each URL that he can use for internal links.
As a simple process, you could:
- Give ChatGPT a URL
- Ask it for relevant phrases that would be good as internal link anchors
- Search Ahrefs’ Page Explorer for pages that include these phrases
Page Explorer is a report within Site Audit. You can search for any phrase in your website’s page text and get a list of pages that include it.
It’s a great way to jumpstart internal linking for a new site that isn’t already ranking for keywords.
If you’re working on a site with URLs like example.com/363863852itwiy (ew, I feel for you), you can also try a more advanced approach.
Nik Ranger blew my mind when I first saw her present on how she and the team at Dejan SEO are using machine learning to automate internal linking at a large scale.
For instance, their innovative process:
- Creates a link graph of an existing website
- Pairs the link graph with Search Console data
- Uses vector embeddings to incorporate a page’s title, headings, and content into recommendations
- Recommends internal links and anchor text
The model they’ve built can recommend internal links even if the URLs don’t contain any words or contextual clues. Normally, finding appropriate internal links on sites with these issues is incredibly challenging, but clever uses of AI make it a lot easier!
As large language models improve their contextual understanding of language, we’ll likely see more innovative use cases for SEO like this.
Further reading
using Reddit to find golden keyword opportunities. His process is based on the premise that people ask for the same thing in many different ways.
He uses this redundancy to his advantage by:
- Identifying information gaps he can easily close
- Finding low-competition keywords that are overlooked by competitors
For instance, he shares a great example of the keyword “does oat milk cause acne”…
At first glance, it has a seemingly low search volume.
However, this is deceptive because people search for answers to this question in a bunch of different ways and the sum total of all their searches will yield a much higher monthly search volume.
Not to mention that Reddit ranks in the top three positions, with many people asking the same question in different ways:
What’s more fascinating, though, is that there’s no competition for it.
With a difficulty score of 0, it shouldn’t be too difficult for a new skincare brand to rank for this topic above more established competitors. It can also join the conversations on Reddit and provide a clear and trustworthy answer to plug this information gap.
This strategy, rolled out across dozens of similar low-competition topics, can become an easy way for new or establishing brands to enter a competitive market.
Using social media for SEO
You can also use other social channels to help your SEO efforts. At Ahrefs, we use multiple channels to reach our audience like YouTube, LinkedIn, Facebook and X.
I reached out to Sam, the VP of Marketing here at Ahrefs. He also runs our YouTube channel, and he shared some tips you can try out if you want to expand your SEO skills by integrating social media.
As a simple process, you can start by:
- Finding video keywords that relate to your existing blog content
- Repurposing your blog content into videos
For instance, check out your website’s organic keywords in Ahrefs Site Explorer and filter for keywords in the top 10 positions only.
Remove any branded keywords and then copy the top 10,000 keywords:
Pop these into Keywords Explorer and check out the Traffic share by domain report for an idea of how well YouTube ranks for keywords in this list:
You can also use the SERP feature filter and include only keywords that contain a video on the SERP:
Doing this gives you a feel for how video-friendly a particular topic is. You can also create a list of exact keywords to target with a video strategy.
This method has helped Ahrefs get loads of high-retention views from search. We also pair this with native YouTube optimization to increase our organic visibility within the YouTube ecosystem.
But, when it comes to creating social media content from blogs, it’s important that you don’t just re-word the blog post. You’ve got to match the content to the platform to retain your audience’s attention.
For example, we’ve published a handful of long-form blog posts on link building strategies and tactics. Each covers different angles, like:
However, Sam has also created a video but has selected an angle that’s a better fit for audiences on YouTube:
And, we’ve also published many social posts about it, adapting the content to fit the native audience of each platform, like this short and sweet LinkedIn post:
When integrating social media into your strategy, the end goal will often be about more than just rankings.
Conversion or leading someone closer to a conversion is more important in most cases.
Further reading
Here are some additional posts you can check out to learn more about how to incorporate social media into your SEO strategy.
Key takeaways
Advanced SEO means different things to different people. However, one thing’s clear.
Those who go beyond the basics are the ones who not only deliver better results to clients but also unlock more opportunities to grow in their careers.
If you’d like to learn more advanced SEO tips from experts, come to Ahrefs Evolve 😉
Most of the experts mentioned in this post will be there sharing their latest and greatest advice.
Having said that, it’s also important to remember the basics. Never cut corners because you’re chasing some new “advanced” tactic. Rather, add advanced skills on top of the foundation of the tried-and-true fundamentals.
I’m not a fan of tactics, but I am all about consistently doing the basics – doing keyword research, creating solid content, making sure they are SEO friendly, and working hard to acquire links.
Doing this alone has lasted us decades in SEO, avoiding all the Google penalties along the way!
If you’ve got thoughts to share or advanced techniques working well for you right now, reach out on LinkedIn.
In addition to Sally’s clustering method above, here are some other examples.
Automate multi-lingual keyword translation
One of my favorite use cases of AI for SEO is for translating keywords to fast-track international SEO.
Using Ahrefs’ new AI keyword translator makes this process so quick, smooth, and easy by:
- Automatically translating your entire list of keywords with one click
- Preserving local lingo and the nuances of each dialect
- Allowing you to see search metrics for each translated variation
- Helping you discover multiple translation options for each keyword
For example, there are dozens of ways to say “popcorn” in Spanish dialects.
Instead of offering a single option, our translator shows you multiple variations to consider while also localizing these variations to your target region!
Since international SEO was one of the top “advanced” SEO skills mentioned, any way you can make the process easier and faster is a bonus.
AI can also help you squeeze more juice out of a tight budget by streamlining your workflow and saving hours on tasks that would otherwise be very time-intensive.
Automate redirect mapping with AI
I love Patrick’s approach to automating redirects for large sites. In a nutshell, the process looks like this:
If this use case sounds interesting, feel free to check out the exact redirect-matching script he uses. Once configured, it automatically runs through the above process for you.
Internal link optimization, en masse
Internal linking is an area folks are automating with AI in different ways.
For instance, Kashif Riaz uses Gemini + ChatGPT to read his sitemap and develop contextually relevant anchor texts for each URL that he can use for internal links.
As a simple process, you could:
- Give ChatGPT a URL
- Ask it for relevant phrases that would be good as internal link anchors
- Search Ahrefs’ Page Explorer for pages that include these phrases
Page Explorer is a report within Site Audit. You can search for any phrase in your website’s page text and get a list of pages that include it.
It’s a great way to jumpstart internal linking for a new site that isn’t already ranking for keywords.
If you’re working on a site with URLs like example.com/363863852itwiy (ew, I feel for you), you can also try a more advanced approach.
Nik Ranger blew my mind when I first saw her present on how she and the team at Dejan SEO are using machine learning to automate internal linking at a large scale.
For instance, their innovative process:
- Creates a link graph of an existing website
- Pairs the link graph with Search Console data
- Uses vector embeddings to incorporate a page’s title, headings, and content into recommendations
- Recommends internal links and anchor text
The model they’ve built can recommend internal links even if the URLs don’t contain any words or contextual clues. Normally, finding appropriate internal links on sites with these issues is incredibly challenging, but clever uses of AI make it a lot easier!
As large language models improve their contextual understanding of language, we’ll likely see more innovative use cases for SEO like this.
Further reading
using Reddit to find golden keyword opportunities. His process is based on the premise that people ask for the same thing in many different ways.
He uses this redundancy to his advantage by:
- Identifying information gaps he can easily close
- Finding low-competition keywords that are overlooked by competitors
For instance, he shares a great example of the keyword “does oat milk cause acne”…
At first glance, it has a seemingly low search volume.
However, this is deceptive because people search for answers to this question in a bunch of different ways and the sum total of all their searches will yield a much higher monthly search volume.
Not to mention that Reddit ranks in the top three positions, with many people asking the same question in different ways:
What’s more fascinating, though, is that there’s no competition for it.
With a difficulty score of 0, it shouldn’t be too difficult for a new skincare brand to rank for this topic above more established competitors. It can also join the conversations on Reddit and provide a clear and trustworthy answer to plug this information gap.
This strategy, rolled out across dozens of similar low-competition topics, can become an easy way for new or establishing brands to enter a competitive market.
Using social media for SEO
You can also use other social channels to help your SEO efforts. At Ahrefs, we use multiple channels to reach our audience like YouTube, LinkedIn, Facebook and X.
I reached out to Sam, the VP of Marketing here at Ahrefs. He also runs our YouTube channel, and he shared some tips you can try out if you want to expand your SEO skills by integrating social media.
As a simple process, you can start by:
- Finding video keywords that relate to your existing blog content
- Repurposing your blog content into videos
For instance, check out your website’s organic keywords in Ahrefs Site Explorer and filter for keywords in the top 10 positions only.
Remove any branded keywords and then copy the top 10,000 keywords:
Pop these into Keywords Explorer and check out the Traffic share by domain report for an idea of how well YouTube ranks for keywords in this list:
You can also use the SERP feature filter and include only keywords that contain a video on the SERP:
Doing this gives you a feel for how video-friendly a particular topic is. You can also create a list of exact keywords to target with a video strategy.
This method has helped Ahrefs get loads of high-retention views from search. We also pair this with native YouTube optimization to increase our organic visibility within the YouTube ecosystem.
But, when it comes to creating social media content from blogs, it’s important that you don’t just re-word the blog post. You’ve got to match the content to the platform to retain your audience’s attention.
For example, we’ve published a handful of long-form blog posts on link building strategies and tactics. Each covers different angles, like:
However, Sam has also created a video but has selected an angle that’s a better fit for audiences on YouTube:
And, we’ve also published many social posts about it, adapting the content to fit the native audience of each platform, like this short and sweet LinkedIn post:
When integrating social media into your strategy, the end goal will often be about more than just rankings.
Conversion or leading someone closer to a conversion is more important in most cases.
Further reading
Here are some additional posts you can check out to learn more about how to incorporate social media into your SEO strategy.
Key takeaways
Advanced SEO means different things to different people. However, one thing’s clear.
Those who go beyond the basics are the ones who not only deliver better results to clients but also unlock more opportunities to grow in their careers.
If you’d like to learn more advanced SEO tips from experts, come to Ahrefs Evolve 😉
Most of the experts mentioned in this post will be there sharing their latest and greatest advice.
Having said that, it’s also important to remember the basics. Never cut corners because you’re chasing some new “advanced” tactic. Rather, add advanced skills on top of the foundation of the tried-and-true fundamentals.
I’m not a fan of tactics, but I am all about consistently doing the basics – doing keyword research, creating solid content, making sure they are SEO friendly, and working hard to acquire links.
Doing this alone has lasted us decades in SEO, avoiding all the Google penalties along the way!
If you’ve got thoughts to share or advanced techniques working well for you right now, reach out on LinkedIn.
He uses this redundancy to his advantage by:
- Identifying information gaps he can easily close
- Finding low-competition keywords that are overlooked by competitors
For instance, he shares a great example of the keyword “does oat milk cause acne”…
At first glance, it has a seemingly low search volume.
However, this is deceptive because people search for answers to this question in a bunch of different ways and the sum total of all their searches will yield a much higher monthly search volume.
Not to mention that Reddit ranks in the top three positions, with many people asking the same question in different ways:
What’s more fascinating, though, is that there’s no competition for it.
With a difficulty score of 0, it shouldn’t be too difficult for a new skincare brand to rank for this topic above more established competitors. It can also join the conversations on Reddit and provide a clear and trustworthy answer to plug this information gap.
This strategy, rolled out across dozens of similar low-competition topics, can become an easy way for new or establishing brands to enter a competitive market.
Using social media for SEO
You can also use other social channels to help your SEO efforts. At Ahrefs, we use multiple channels to reach our audience like YouTube, LinkedIn, Facebook and X.
I reached out to Sam, the VP of Marketing here at Ahrefs. He also runs our YouTube channel, and he shared some tips you can try out if you want to expand your SEO skills by integrating social media.
As a simple process, you can start by:
- Finding video keywords that relate to your existing blog content
- Repurposing your blog content into videos
For instance, check out your website’s organic keywords in Ahrefs Site Explorer and filter for keywords in the top 10 positions only.
Remove any branded keywords and then copy the top 10,000 keywords:
Pop these into Keywords Explorer and check out the Traffic share by domain report for an idea of how well YouTube ranks for keywords in this list:
You can also use the SERP feature filter and include only keywords that contain a video on the SERP:
Doing this gives you a feel for how video-friendly a particular topic is. You can also create a list of exact keywords to target with a video strategy.
This method has helped Ahrefs get loads of high-retention views from search. We also pair this with native YouTube optimization to increase our organic visibility within the YouTube ecosystem.
But, when it comes to creating social media content from blogs, it’s important that you don’t just re-word the blog post. You’ve got to match the content to the platform to retain your audience’s attention.
For example, we’ve published a handful of long-form blog posts on link building strategies and tactics. Each covers different angles, like:
However, Sam has also created a video but has selected an angle that’s a better fit for audiences on YouTube:
And, we’ve also published many social posts about it, adapting the content to fit the native audience of each platform, like this short and sweet LinkedIn post:
When integrating social media into your strategy, the end goal will often be about more than just rankings.
Conversion or leading someone closer to a conversion is more important in most cases.
Further reading
Here are some additional posts you can check out to learn more about how to incorporate social media into your SEO strategy.
Key takeaways
Advanced SEO means different things to different people. However, one thing’s clear.
Those who go beyond the basics are the ones who not only deliver better results to clients but also unlock more opportunities to grow in their careers.
If you’d like to learn more advanced SEO tips from experts, come to Ahrefs Evolve 😉
Most of the experts mentioned in this post will be there sharing their latest and greatest advice.
Having said that, it’s also important to remember the basics. Never cut corners because you’re chasing some new “advanced” tactic. Rather, add advanced skills on top of the foundation of the tried-and-true fundamentals.
I’m not a fan of tactics, but I am all about consistently doing the basics – doing keyword research, creating solid content, making sure they are SEO friendly, and working hard to acquire links.Doing this alone has lasted us decades in SEO, avoiding all the Google penalties along the way!
If you’ve got thoughts to share or advanced techniques working well for you right now, reach out on LinkedIn.
