The difference is that the basic insights on the left are readily available in your analytics software. You don’t have to look too hard to find these insights. Nor do you have to think too deeply about them.

They’re also not particularly helpful or actionable. Especially when you share these with clients or managers, they often don’t know what these numbers mean or what decisions to make from them.

However, the insights on the right connect specific actions to their results and can be used to make a case for increasing the budget of an SEO project. They help non-SEO stakeholders see the steps you took to achieve a result and why investing in doing more of what worked makes sense.

5. Use product and audience data in your SEO strategy 

The type of data you gather to create your SEO strategy can also be the difference between doing basic SEO vs advanced SEO. 

For example, here are some different data sources to consider:

Don’t get me wrong; you can still make an advanced SEO strategy using the data sources on the left.

For example, with Ahrefs, you can use metrics like Share of Traffic Value to see where your competitors are gaining market share.

The analysis that would follow is not basic by any means.

But you can also go in the wrong direction if you don’t incorporate a brand’s internal data into your strategy.

For example, many SEO professionals don’t think much of a brand’s unique selling points. Maybe they include these in landing page copy, but that’s it.

However, advanced practitioners recognize product data and USPs as a goldmine for SEO. It’s how we’re able to:

• Do strategic keyword and intent analysis
• Target meaningful keywords with low competition
• Validate keyword opportunities with product or brand managers
• Ensure the SEO strategy aligns with the brand’s product-market fit

It’s critical to understand your product USP and do strategic keyword research. It’s how you’ll find low-competition, meaningful queries that are equally relevant from a business standpoint. This seems easy and rather “basic,” but it is not, and definitely not the type of task I would leave a junior SEO with. 

For example, here’s how I implemented this for one of my aged care clients.

This particular brand had invested millions into a state-of-the-art facility that offered hotel-like quality of service and care. It was important to them that their residents maintained a sense of independence and dignity while also receiving the best care available in their city.

When you hear that, you probably don’t think that their services are affordable or low-cost, right?

But here’s the thing. By gathering data from government sources, I was able to identify that this facility offered rooms that were 50% larger and 33% cheaper on average than other facilities in their city.

Uncovering this value proposition opened up a lot of potential for SEO, especially since price is a common concern for my client’s customers.

The data gathered allowed the client to consider a price-related content strategy that we would have otherwise ignored.

They had the potential to:

• Answer common pricing questions
• Overcome price-based objections before people book a tour
• Correct people’s assumptions that the service is likely out of their budget
• Position themselves based on the unique value they offer
• Increase the number of tours booked because price assumptions were no longer a blocker

6. Automating SEO with AI and machine learning 

Not gonna lie; when I first saw people’s responses that using ChatGPT = advanced SEO, I had a couple of “what on earth?!” moments.

However, when I asked a few SEO experts and speakers in 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

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.

7. Doubling down on revenue-generating content 

Quality content was mentioned quite a lot overall.

I struggled to see how creating quality content is an “advanced” strategy. To me, it’s an essential cornerstone of modern SEO, and you can’t get results without it.

However, I really liked the approaches some folks are taking to increase the revenue generation potential of their content strategies. This is what I think separates a basic content plan from an advanced one.

For example, the following content strategies were mentioned in the context of delivering results:

• Product-led content (which we covered above)
• Programmatic SEO (of the non-spammy variety)
• Bottom-of-funnel content (to increase revenue)
• Mid-funnel content (to get an edge over competitors)

I think [advanced SEO] is coming up with site-wide SEO strategies that move the needle – like creating new sections, doing programmatic content for BOFU keywords, doing product-led SEO on a site-wide level. 

8. Optimizing multiple channels for maximum exposure to searchers 

Incorporating other channels, like social media and Reddit, was mentioned by a number of people.

This one surprised me as something people consider “advanced” SEO. Mainly because, for a long time, Google has been the dominant platform SEO folks focus on. But I’m all for this shift. I think it’s been a long time coming.

Using Reddit for keyword research

I really liked Andy Chadwick’s process for 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.

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 😉

If you’ve got thoughts to share or advanced techniques working well for you right now, reach out on LinkedIn.