Using AI To Build SEO-friendly Internal Link Structures

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Using AI To Build SEO-friendly Internal Link Structures


Internal linking is the process of linking the pages of your website to one another using link text, anchor text or any other method. Google ranks the pages higher if they have links from other pages on the website. Internal links to a page indicate how relevant and authoritative it is.

Understanding SEO-friendly internal link structures

Internal links are important for SEO because they help the search engine to understand the structure of your website, help users to navigate through your website and pass authority. Internal links also help to show the contextual relationship between two pages.

The structure to be used for setting up your website’s internal links should be similar to a pyramid. There should be a minimum amount of links between the home page and any given page.

Crawl depth is the distance of a page from the home page. A high crawl depth can affect a page’s crawlability. Your website should have a clear and organised structure. 

Internal links can be structural and contextual. You should add links from the home page to all your important pages. This will give them more page value and be stronger in the eyes of Google. Contextual links are placed in the body content of a page. They help the users to find related content. You should add links from relevant posts to the main post. 

Artificial Intelligence (AI) can help to tackle this aspect of SEO thus saving time and effort. For this you have to create an AI powered search engine model. Particle Swarm Optimization is used to build these models.These models use an alternative method, they rank content based on their relevance to a given query. A machine learning algorithm is used to analyse a query / queries to find patterns that determine what is relevant for that query. This gives more accurate results than the traditional methods.

How Does The Model Work?

This technology looks at the site, page features and the SERP rankings to understand the weights of the semantic factors and the core web vitals of the algorithms. The system modifies these algorithmic weights from a constantly updated Google model so that the keyword focused SERP aligns with the real world SERP. This gives a useful model.

The site in the model is scored for the various factors. The scores are compared with the custom model to calculate where the statistical gaps exist. It then suggests what SEO changes will make a big difference in the SERP position.

What Are The Benefits Of Using An AI-Model?

You will understand the difference between you and your competitors and know where you can gain traffic and where you are at risk.Get to know how the changes in SEO can impact your rankings 60 days prior to it appearing in the SERPs.

Track your competitors moves and counteract them immediately rather than when your site appears in the SERPs 60 days later.You can easily test the non-SEO changes like navigation bar changes or testing redesign before your website launches.

Role of AI in building SEO-friendly internal link structures

Benefits of using AL for link-building

AI tools can analyse large amounts of data quickly and identify link-building opportunities faster. This helps to save time and effort.

AI can help you personalise your outreach emails by analysing the recipient's website and suggesting how to write the message. 

AI tools can analyse data and predict which links are most valuable for a website. This will help you focus on the most promising link-building opportunities.

AI tools can handle a large amount of link-building tasks simultaneously. This helps to manage multiple campaigns at once.

AI techniques for building SEO-friendly internal link structures

Natural Language Processing (NLP) affects SEO and focuses on understanding the context of the searches rather than the keywords. NLP helps you to find patterns in keywords for better topic modelling.

Machine Learning adopts and responds to data and learns to answer search queries better. ML algorithms allow the computer to learn. You can use the right ML technology to save time on building internal links.

Internal Linking

Link flow is the rate at which the links are passed from one page to another.

There are many factors that can help to improve the link flow.

Steps to using AI for building SEO-friendly internal link structures

AI tools can be used to find which pages to link from and can save a huge amount of time. This helps you to build the right links from the right pages. 

You can find issues that are impacting your pages like keyword stuffing, too many outgoing links, duplicate content and duplicate page titles and descriptions and more.

Use tools to collect the data and get reports to understand what is affecting your website. You should review the data and act on it.

Anchor text is the clickable text in the hyperlink. It should be concise and accurate, relevant to the linked-to page, have a low keyword density and be non-generic.

Best practice for AI-based internal link structure optimisation

AI tools can help find high-traffic keywords and build content around them.

AI tools can help to reduce the time between research and publishing content. This helps to improve productivity and efficiency. It increases content relevance, expertise and authoritativeness.

Measure your link-building efforts using tools like Majestic, Ahrefs, Moz, or Screaming Frog. Using this tool you can find the pages which have the highest number of internal links, and link-building opportunities and where powerful links can be built. The tools help you to optimise your internal links structure and get the maximum benefit from your efforts.

The Following Are The Link Building Best Practices:

The quality of the content can help to improve the link flow. If you create high-quality and informative content then the users will naturally link to your website.

Good content will attract other websites to link to you. When you let other websites link to your content it helps with link flow.

Internal linking can be more effective and less costly than


You can use AI algorithms to find out which pages to link to.

You should allocate links to your core pages as this will minimise the traffic to less important pages and maximise the traffic to important pages.

The web crawler will know which are the important pages and it will make your website more relevant.

Many pages give up link flow to other sites and cause a link flow loss.

The main areas of link loss are social media links and links to career sites, help sites and user login sites.

You should review your list of outgoing links and avoid links to sites that take you nowhere by using the ‘nofollow’ tag. This will minimize the loss.

Search engines have many algorithms to catch the bad and malicious practices.

If your website unknowingly triggers such an algorithm then the pages will get affected negatively and may harm the link flow.

There you should avoid keyword stuffing, outbound links that look like advertised or paid links, bad page title and meta descriptions and duplicate content.

You should measure your improvements in link flow by recrawling your website. You should review your link flow distribution and find out what percentage of link flow each page is getting.

How much have you reduced the issues that are causing a downgrade to your pages in the SERPs.Check the impact of the changes you have made on the statistical ranking power that can change your rankings.Analyse the gaps between you and your higher ranking competitor to determine what you should focus on next.


AI is useful SEO but you should approach AI with a sense of responsibility and use it the right way. 

If you want to optimise your website and improve its rankings then you can hire SEO services.