The SEO cannibalisation It’s one of those issues that could be holding back your website’s growth without you realising it. You publish new articles, optimise your pages and see that Google indexes them, but the results just aren’t coming through. The reason? It could be several URLs on your own website are competing with each other for the same search query, meaning that none of them manages to rank as highly as they should.
Until relatively recently, identifying this sort of situation involved checking dozens (or even hundreds) of URLs, analysing data from Google Search Console and comparing content in a fairly manual way. A useful process, certainly, but also a slow one that is difficult to scale as a website begins to grow.
The good news is that the artificial intelligence It has changed the game. Today, it is possible to analyse large volumes of information in far less time, identify patterns that might otherwise go unnoticed and detect potential instances of cannibalisation much more quickly and efficiently. That said, AI does not replace a A well-thought-out SEO strategy: It is a tool that helps you make better decisions; it doesn’t make them for you.
In this article, we explain What exactly is SEO cannibalisation, why it can affect your website’s search rankings, and how you can use AI to detect it, analyse it and resolve it with examples and practical advice that you can apply whether you’re taking your first steps in SEO or already managing a website with hundreds of pages.
What is SEO cannibalisation?
The SEO cannibalisation This occurs when two or more pages on the same website attempt to rank for the same keyword or respond to a very similar search intent. Instead of supporting one another, they end up competing to appear among the top results on Google.
Although it might seem that having several pieces of content on the same topic is a good thing, this is not always the case. If Google finds several pages on your site that offer virtually the same answer to a search query, it may find it difficult to decide which is the most relevant. As a result, it is common for rankings to fluctuate constantly or for none of the pages to reach their full potential.
This does not mean that you cannot write about the same topic from different angles. In fact, it is highly recommended when each piece of content addresses a different user need. The problem arises when Several URLs serve exactly the same purpose and there is no clear distinction between them.
An example to help you understand it better
Imagine you run an e-commerce site specialising in sports equipment and you publish these three articles on your blog:
- How to choose running shoes.
- The best running shoes.
- A guide to buying running shoes.
At first glance, they seem different, but in reality they all seek to answer practically the same question: Which running trainers should I buy?
From Google’s point of view, the Three pieces of content may be aimed at a very similar search intent. Rather than identifying a single page as the definitive source on that topic, the search engine may alternate which pages it displays in the results or spread the visibility across them. Ultimately, none of them manages to concentrate all the authority, and their chances of ranking well are reduced.
That is why a good SEO strategy does not involve creating SEO content not just to keep going, but to ensure that every page has a It has a clear objective, offers unique value and addresses a specific search intent.
How to detect SEO cannibalisation using traditional methods
Before artificial intelligence became part of the day-to-day work of many SEO professionals, identifying the Cannibalisation used to be a much more manual process. And although these methods are still very useful, the truth is that they can be quite time-consuming, especially if you’re managing a website with dozens or hundreds of pages.
The good news is that understanding these techniques remains important. Not only will they help you better understand how to identify the problem, but they will also enable you to check and validate the results you obtain using AI.
Checking Google Search Console
Google Search Console It is one of the best tools for detecting potential cases of SEO cannibalisation.
A good place to start is to access the report on performance, select a specific search query and check which URLs are receiving impressions or clicks for that particular search.
If you notice that several pages appear for the same keyword and as their positions change frequently, they may be competing with one another.
That said, it is advisable to analyse each case carefully. The fact that two URLs appear for the same search query does not always mean that there is keyword cannibalisation. Sometimes, Google displays different pages because they address different search intentions or because one complements the other.
Using Google’s ‘site:’ operator
Another simple method is to use the Google search engine using the “site:” operator”. For example, if you want to check how many pages on your website mention SEO cannibalisation, you can carry out a search like this: site:https://ddigitals.net/ SEO cannibalisation
If several very similar URLs appear, it is worth checking them to see whether they actually provide different information or whether it would be better to merge them or distinguish them from one another.
Although this method is no substitute for a full analysis, it is a quick way of identifying potential content overlaps.
Using SEO tools to your advantage
There are specialised tools that make this task much easier and allow patterns to be identified more visually. Some of the most commonly used are:
- Semrush, which includes specific reports to identify potential instances of cannibalisation.
- Ahrefs, which is very useful for analysing the keywords for which each URL ranks and identifying overlaps.
- Screaming Frog, ideal for auditing large websites and checking titles, headings, metadata and other indicators that may suggest content is too similar.
Each one offers a different perspective, which is why many agencies combine several of them to gain a more comprehensive view.
The problem with doing everything manually
All these methods work and remain a fundamental part of any SEO audit. However, when a website starts to grow, the process can become slow.
Reviewing hundreds of URLs, comparing titles, analysing the search intent of each page and cross-referencing data from different tools takes time and a great deal of attention to detail. Furthermore, it is easy to overlook small patterns or relationships between pieces of content, particularly in projects involving a large volume of information.
This is where the Artificial intelligence makes all the difference. Rather than replacing SEO analysis, it allows you to automate much of the more repetitive work, identify similarities in a matter of minutes and focus your efforts on what really matters: making strategic decisions to improve the website’s search engine ranking.
How to use AI to detect SEO cannibalisation much more quickly
Artificial intelligence has changed the way we approach SEO. Not because it does the work for us, but because it allows us to to analyse large amounts of information in a fraction of the time and identify patterns that might otherwise go unnoticed if done manually.
That said, it’s a good idea to have a clear idea from the outset: AI is no substitute for an SEO professional. Tools such as ChatGPT, Claude or Gemini They are able to analyse data, compare content or identify similarities, but the final decision on how to proceed must always be based on a well-defined strategy.
That said, if you know how to use it, AI can be a great ally in identifying potential cases of SEO cannibalisation.
Analyses similar titles and content in a matter of minutes
One of the simplest ways to use it is to compare several pages to see if they are targeting the same search intent. Instead of checking each article individually, you can copy the titles, H1 headings or even the full content of several URLs and ask the AI to analyse the similarities.
For example, you could use a prompt like this:
«Take a look at these titles and tell me which ones correspond to the same search intent. Also indicate whether there is a risk of SEO cannibalisation and explain why.»
AI can quickly identify content that is too similar and highlight which items would be worth reviewing in more detail.
Group URLs according to search intent
One of the most common mistakes is to think that cannibalisation depends solely on the keyword. In fact, the most important factor is the intention to search. Two articles may use different keywords and still address exactly the same user need.
For example:
- How to carry out an SEO audit.
- Steps for carrying out an SEO audit.
Even if the wording differs, both pages are probably trying to rank for a very similar search intent. This is where AI proves particularly useful, as it is able to detect semantic relationships and group together content that deals with the same topic, even if it does not use exactly the same words.
A useful prompt would be:
«I have these 40 URLs. Group them by search intent and identify which ones might be competing with each other.»
In just a few minutes you’ll have a the first classification to start working on.
Analysing exports from Google Search Console
If there is one particularly powerful combination, it is that of Google Search Console + AI. You can export the performance report in CSV format and upload the file to whichever AI tool you use.
After that, simply ask them to identify patterns such as:
- Queries containing several URLs.
- Keywords shared across different pages.
- Frequent changes in position.
- Possible instances of cannibalisation.
An example of a prompt would be:
«Analyse this export from Google Search Console and identify queries where several URLs are ranking for the same search. Indicate which ones might represent a case of SEO cannibalisation.»
What used to take several hours spent checking spreadsheets can now be reduced to just a few minutes.
Detects content that is too similar
Another area where AI excels is in comparing full texts. Imagine your blog has two articles:
- How to improve local SEO.
- 10 tips for improving local SEO.
At first glance, they appear to be different, but on closer inspection, it may turn out that much of the content is virtually the same. AI can help you identify aspects such as:
- Very similar structures.
- Duplicate sections.
- Duplicate information.
- Keywords treated in the same way.
- Actual differences between the two pieces of content.
With this information, it’s much easier decide whether it is appropriate to merge the two articles, distinguish them more clearly or keep them as they are, as they actually cater to different search queries.
Use AI to prioritise what to review first
If your website has hundreds of pages, you probably won’t be able to check them all at once. Another advantage of artificial intelligence is that it can to help you set priorities.
For example, you could ask them to Identify those URLs that are most at risk of cannibalisation or those that share the most keywords along with other content.
This will allow you to focus your efforts on the cases that are most likely to have a greater impact on the website’s search engine ranking. At the end of the day, AI doesn’t work magic or find problems where there aren’t any. What it does manage to do is significantly reduce the time spent on the most repetitive tasks and provide a solid foundation for making strategic analysis much faster and more efficient.
