Eliminating SEO Content Cannibalization Boosts Traffic By 110%, Keyword Insights Says

TL;DR

A real estate website eliminated content cannibalization by consolidating property pages from 413 to 85 types, reducing URLs by 15 million and boosting organic traffic by 110%.

  • Why it matters: Multiple pages targeting identical keywords compete against each other, splitting ranking authority and harming organic performance.
  • By the numbers: Keyword Insights helped reduce property types from 413 to 85, cutting 15 million URLs and increasing traffic by 110%.
  • How it works: Keyword clustering identifies pages targeting the same search intent, allowing consolidation into single authoritative pages.
  • Reality check: Large sites often create unnecessary page variations that confuse search engines and dilute crawl budget efficiency.
  • The bottom line: Content auditing reveals cannibalization issues before they spiral into millions of competing URLs.

If you are a Digital Marketer or create content for the internet, you have certainly heard of Keyword Insights, a tool developed with the aim of helping companies and web content creators to optimize their SEO strategies and achieve better organic results in search engines.

Many professionals use the tool daily to create online content and perform keyword research identifying content that can be made based on keyword clusters.

However, in a recent attempt, Keyword Insights used keyword clusters to identify content to be eliminated — the opposite of what they used to apply this strategy for — and they achieved fantastic results: a 110% increase in organic traffic due to reduced content cannibalization!

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First of all, what is content cannibalization?

Content cannibalization happens when you have multiple pages targeting the same or similar keywords, causing these contents to compete with each other for Google ranking and, consequently, harming your site’s organic performance.

Let’s say you have two posts on the same topic, LinkedIn’s algorithm, for example. In this case, Google cannot identify which of the articles should rank higher for a specific query. As a result, both posts will likely rank low, meaning you won’t be able to consistently rank well for either one.

Another problem generated by cannibalization is that, depending on the site and how the pages are being structured, larger sites can unnecessarily inflate their number of pages and reduce the crawling efficiency/crawl budget.

And it is at this point that Keyword was able to capitalize and reduce a website’s URL count by around 15 million, increasing organic traffic by 110%.

A case study of a real estate website in the US

The client that made Keyword achieve these results was a large real estate website in the US. The types of queries they wanted to rank for were like:

  • California homes for sale;
  • 2 bedroom houses for sale in Florida;
  • log cabins for sale in Boulder;
  • colonial houses for sale in Orange County.

After trying to diagnose the issues by crawling the site, the Keyword team came to the conclusion that this company created a “property type” for each keyword in their keyword research, which meant they had over 400 types of properties, including:

  • houses for sale in…;
  • properties for sale in…;
  • log cabins for sale in…;
  • log homes for sale in…;

In this way, property pages were created for every US state, city and neighborhood, leading to thousands and even millions of extremely similar and potentially ambiguous web pages, such as “properties for sale” and “homes for sale”.

This led to the hypothesis that they were cannibalizing content, in addition to generating a significant amount of unnecessary URLs to be crawled by search engines.

What’s interesting is how quickly scale can turn a well-intentioned SEO strategy into a sprawling mess. When every possible property variation and locale gets a new page, you’re basically inviting Google’s bots to wander an endless maze of near-duplicates. I’ve seen this pop up even in smaller businesses just experimenting with clustering — they try to cover every angle, and before they know it, they’re running into the same issue on a micro scale.

This messiness doesn’t only vex search engines; it’s also confusing for real human visitors poking around the site. If you land on three different pages, all saying sort of the same thing but wearing different hats (or in this case, slightly different property titles), who wouldn’t just bounce? It’s the kind of user friction that’s easy to miss in analytics until it has quietly chipped away at both rankings and credibility.

What has been done to increase this company’s organic traffic results?

The first step was to download a list of all types of properties that the client had and attach the phrase “for sale in California” to it, thus assigning a state to the queries as a way of facilitating the listing process.

As a result, the search list looked like this:

  • California houses for sale;
  • California properties for sale;
  • 2 bedroom houses for sale in California;
  • colonial houses for sale in California
  • and so on.

Soon after, this information was loaded into Keyword Insights and selected from its groupings and classifications. That is, the search results were analyzed and grouped into segments on the same page.

For example, if “California houses for sale” and “California properties for sale” appear in the same cluster, they should only have one page targeting them and not two as the customer used to do.

The ranking and rating URLs were also analyzed and indicated that there were multiple categories of content showing that there was a lot of cannibalization among them. An example of this is the screenshot taken by the Keyword team showing the first 30 property type pages.

In the right column we can see the property types that Keyword Insights suggested to scroll on the property type in the left column.

Thus, the team was able to reduce property type pages from 413 to 85, resulting in a reduction of around 15 million URLs and a 110% increase in organic traffic!

What lessons can we learn from this case?

Keyword cannibalization is pretty bad for your site’s organic performance. But it’s important to remember that you will only have one real issue to worry about when multiple pages target the same keyword, which can happen more for larger company websites.

However, to identify cannibalization problems on your website or blog, you can start with content auditing. This is the first step for any change or optimization on your page.

If you have identified that your traffic is suffering from content cannibalization and you want more tips on how to improve your web page, we have prepared some content with 6 more tips on how to fix cannibalization on your site.

Frequently Asked Questions

How did Keyword Insights identify the cannibalization problem?

They crawled the real estate site and discovered over 400 property types with similar keywords like "houses for sale" and "properties for sale" across every US state, city, and neighborhood. This created millions of nearly identical pages competing for the same search queries, confusing Google's ranking algorithms.

What specific steps were taken to fix the cannibalization?

The team downloaded all property types, standardized them with "for sale in California" format, then loaded this data into Keyword Insights for clustering analysis. Pages targeting identical search intent were grouped together, allowing consolidation from 413 property types down to just 85 distinct categories.

Why does content cannibalization hurt smaller websites too?

Even small businesses experimenting with keyword clustering can accidentally create multiple pages covering the same topic with slight variations. This confuses both search engines trying to determine which page to rank and real visitors who encounter repetitive content, leading to higher bounce rates and reduced credibility.

How can website owners detect cannibalization on their own sites?

Start with a comprehensive content audit to identify pages targeting similar keywords or topics. Look for multiple URLs appearing in search results for the same query, declining rankings across related pages, and internal competition where your own pages outrank each other for identical search terms.

MM Matt Montenegro