Automate redirects with AI
If this method interests you, check korea telegram out the specific redirect matching script it uses. Once configured, the system automatically performs this process for you.
Large-scale internal link optimization
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 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.
Large-scale internal link optimization
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 like example.com/363863852itwiy (oh, how I feel for you!), you can try a more complex approach.
Nick Ranger impressed 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.