Keyword cannibalization occurs when content on various pages of your site ranks for the same keyword cluster and shares the same search intent. This can harm off-page optimization, diminish internal linking weight, worsen user experience, waste crawl budget, and make it harder for search engines to assess your page.
The tool analyzes 30 keywords with the highest Search Volume for each of your projects and across every search engine to identify if any of your pages are in competition with each other. It will flag the pages that may have cannibalization issues. For each issue, it will display the keyword in question and the pages that are affected.
At the top right corner of the Cannibalization insights section, you’ll see the total number of new insights in this category. You can check them all by clicking the View All button and access our recommendations for addressing these issues by clicking the Recommendations button.
How it works
If you click the View All button, you will be transferred to a new menu with a two-level table. By default, the first line (keyword) is automatically expanded to give you a quick peek of the available data.
For each keyword, you’ll receive information about the number of pages with cannibalization issues, the search engine, the country/region, and the date when the insight was detected. The details of the URLs involved in cannibalization are provided in the second level, along with key parameters like Page Trust, the number of keywords and referring domains, average position, and traffic forecast. Additionally, if you have Google Search Console linked, you will also see the number of clicks and impressions for each URL.
If you scroll through the table to the right, you’ll find comprehensive information about the URL positions in the SERP on each date. This will give you a better understanding of their competition in search results.
If you click on the page’s position in the table, it will lead you to the SERP Competitors for further analysis. You also have the option to export the data from the Cannibalization insights table in a CSV or Excel file.