Many professionals use the tool daily to create

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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! 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, france companies email list 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”.