Internal linking is an area where artificial intelligence is actively used to automate various processes.
For example, Kashif Riaz uses Gemini and ChatGPT to analyze his sitemap and develop contextually relevant anchor texts for each URL that he can use for internal links.
A simple process you can implement looks like this:
- Provide ChatGPT with the URL.
- Ask him to find relevant phrases that are suitable as anchors for internal links.
- Use Page Explorer in Ahrefs to find pages containing these phrases.
Page Explorer is a report in latvia mobile database Site Audit that allows you to search for any phrase in the text of your website pages and get a list of pages that contain it.
This approach is a great way to start internal linking on a new site that is not yet ranking for keywords.
If you’re working with URLs use product and audience data in your seo strategy like example.com/363863852itwiy (oh, how I feel for you!), you can try a more complex approach.
Nick Ranger impressed ws database me with her presentation on how she and the Dejan SEO team are using machine learning to automate internal linking at scale.
For example, their innovation process:
- Creates a link graph on an existing website.
- Combines link graph with Search Console data.
- Uses vector embeds to include the title, headings, and page content in recommendations.
- Offers internal links and anchor text.
The model they developed can recommend internal links even if the URLs don’t contain any words or contextual clues. Finding relevant internal links on sites with such issues is usually extremely difficult, but clever use of AI makes this task much easier!
As large language models improve their understanding of context, we will likely see more new ways to use them for SEO soon.
7. Doubling down on revenue-generating content
Content quality was often mentioned in the general discussion.
I had a hard time understanding why creating quality content was considered an “advanced” strategy. To me, it’s the foundation of modern SEO, without which it’s impossible to achieve results.
However, I became interested in the approaches that some professionals use to maximize the revenue potential of their content strategies, and I’ll show you what I think distinguishes a basic content plan from an advanced one.
For example, the following content strategies were mentioned in the context of achieving results:
- Product-focused content (we already mentioned this above).
- Programmatic SEO (without spam elements).
- Bottom of the Funnel (BOFU) content (to increase revenue).
- Middle of the Funnel (MOFU) content (to gain an edge over your competitors).
I believe [advanced SEO] is about developing site-wide SEO strategies that really impact results. This can include creating new sections, developing programmatic content for BOFU keywords, and implementing product-focused SEO at the site-wide level. — Ben Kazinik , Senior SEO Manager @ Monday.com
8. Optimize multiple channels to maximize search user reach
The inclusion of other channels, such as social media and Reddit, was mentioned by several panelists.
I was surprised that people would consider this to be “advanced” SEO. Mainly because for a long time Google was the main platform that SEO professionals focused on. However, I fully support this change, as it is long overdue.
