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Keyword Cannibalisation: How to Find and Fix It

Keyword Cannibalisation: How to Find and Fix It

Itamar BlauerItamar Blauer5 min read

Imagine two of your own pages in a tug of war over the same keyword.

Neither wins. They just wear each other out - and a competitor’s page strolls past both of them.

That’s keyword cannibalisation, and it’s one of the most common issues I find when auditing websites. It’s also one of the most satisfying to fix, because the rankings are often already there - they’re just split across the wrong pages.

In this guide, I’ll explain what keyword cannibalisation actually is, how to find it for free, and how to fix it properly.

Let’s dive right in.

What is keyword cannibalisation?

Keyword cannibalisation is when two or more pages on your website are competing for the same traffic, because they’re visible for the same keyword.

The reason why this is a problem: instead of having one strong page that clearly deserves to rank, Google sees several candidates and is unsure which one to show. So the signals get split - the clicks, the internal links, the backlinks - and the performance of all of those pages ends up lower than one focused page would achieve.

To be clear, this isn’t about mentioning a keyword on more than one page (that’s normal and unavoidable). It’s about multiple pages targeting the same intent - two pages both trying to be the answer for the same search.

A quick example

Say you run an ecommerce store and you have:

  • A category page targeting “running shoes”
  • A blog post titled “The Best Running Shoes This Year”

Both are visible for “best running shoes”. Some days Google ranks the category page, other days the blog post. Neither settles, neither builds momentum, and your rankings for the term look like a heart rate monitor.

One intent, two pages, no winner. That’s cannibalisation in action.

How to find keyword cannibalisation

Before you reach for a paid tool, here’s something worth knowing: the best keyword cannibalisation checker is free, and you already have it.

Examining website data with a magnifying glass to find keyword cannibalisation

The Google Search Console method

This is the approach I use in almost every audit:

  1. Open Search Console and go to the Performance report.
  2. Click + New and filter by a query you care about.
  3. Switch to the Pages tab.

If one page dominates the clicks and impressions for that query, you’re fine.

If two or more pages both have significant impressions for the same query, Google is telling you it’s unsure which page to rank - and that’s your cannibalisation issue, straight from the source.

Work through your most important queries this way and you’ll build an honest picture in an afternoon, without spending a penny.

The site: search method

For a quicker gut-check, search Google for:

site:yourdomain.com "your keyword"

You’ll see every indexed page on your site that relates to that term. If several pages could plausibly serve the same search, take a closer look in Search Console.

What about cannibalisation tools?

Plenty of SEO tools will flag “cannibalisation” automatically, and they can be useful for large sites. Just treat their output as a starting point - many simply flag any keyword with multiple ranking pages, which isn’t automatically a problem. The Search Console data is what actually tells you whether Google is struggling to choose.

How to fix keyword cannibalisation

The right fix depends on why the overlap exists. These are the four I use, in order of how often they’re the answer:

1. Consolidate and redirect

If two pages serve the same intent and neither has a unique reason to exist, merge the best content into the stronger page and 301 redirect the weaker one to it.

This is the most common fix, and often the most powerful - you’re combining the split signals into one page. (Handle the redirect properly, though - my SEO migration checklist covers how.)

2. Differentiate the intent

Sometimes both pages deserve to live, and the real problem is that they’ve drifted onto the same keyword. A category page and a buying guide can happily co-exist - the category targets “running shoes”, the guide targets “how to choose running shoes” - but each needs to be clearly optimised for its own intent, in its titles, headings and content.

3. Fix your internal linking

If your internal links point at the wrong page with keyword-rich anchor text, you’re confusing Google about which page matters for that term. Point internal links (with relevant anchors) consistently at the page you want to rank, and demote the other page’s anchors to what it actually targets.

4. Use a canonical (in specific cases)

Where two very similar pages must both exist - say, near-duplicate product variations - a canonical tag tells Google which one is the main version. Remember it’s a hint rather than a directive, and it’s the right tool far less often than people think. Consolidation usually beats canonicalisation.

How to prevent keyword cannibalisation

Prevention is a mindset more than a tactic, and it’s one I’ve repeated for years:

Every page on your website should focus on keywords that aren’t the focus of any other page.

In practice, that means keeping a simple keyword map - one primary keyword (and its close variations) per page - and checking it before you create anything new. Before writing a new blog post, ask: does a page for this intent already exist? If yes, improve that page instead of publishing a competitor to it.

Do that consistently and cannibalisation mostly never happens in the first place.

Final thoughts

Keyword cannibalisation is sneaky because nothing looks broken - every page seems fine on its own. It’s only when you look at the query level that you see your pages quietly taking votes off each other.

The good news: it’s completely diagnosable with free tools, and the fixes usually unlock rankings you’ve already earned.

If you’d rather have a second pair of eyes on it, cannibalisation checks are part of every SEO audit I run - and if you want to understand what your rankings data is really telling you, my guide to SEO metrics is a good next read 🙂