How to Find Cannibalized Keywords in E-com Website?

[dakudaddy]

I am working on an E-commerce website, so I am looking to find cannibalized keywords for my website. I read out some guides and suggest using the site:domain name keyword. But, in e-commerce, there are multiple products within a keyword. So how can I avoid them? Is there any tool or anything else that can help us find cannibalized keywords?

 

[dakudaddy]

?

 

[l0cke]

I am working on an E-commerce website, so I am looking to find cannibalized keywords for my website. I read out some guides and suggest using the site:domain name keyword. But, in e-commerce, there are multiple products within a keyword. So how can I avoid them? Is there any tool or anything else that can help us find cannibalized keywords?

You can use tools like SEMrush or Ahrefs to look at your product pages individually, seeing which keywords they're ranking for, and figure out if there's any overlap or repetition that might be causing confusion for search engines

 

[The SEO]

Search Console will give you the complete data under the Pages Section and ahrefs is also good for on-page audit and keyword cannibalization. Whereas, for eCommerce websites Screaming Frog is the best as well.

 

[dakudaddy]

You can use tools like SEMrush or Ahrefs to look at your product pages individually, seeing which keywords they're ranking for, and figure out if there's any overlap or repetition that might be causing confusion for search engines

If you have limited products, you can do that, but if you have 100s of products under 1 keyword, it fails.

Search Console will give you the complete data under the Pages Section and ahrefs is also good for on-page audit and keyword cannibalization. Whereas, for eCommerce websites Screaming Frog is the best as well.

let me try SF for it.

 

[isabellarose857]

To find cannibalized keywords in an e-commerce website, search the website's content for similar or related keywords and phrases and analyze their usage. Check the website's link structure, metadata, and site navigation to identify any pages targeting the same keyword. Finally, review the website's analytics to identify any overlap in search query terms.