What does the keyword cannibalization checker do?
Paste a URL-to-keyword map and identify exact or normalized phrases targeting more than one page.
Find keywords assigned to competing URLs.
Paste a URL-to-keyword map and identify exact or normalized phrases targeting more than one page.
One row per target using URL, keyword or tab-separated values.
Result
Updates as you edit the inputs.
- Valid rows
- 0
- Keywords
- 0
- Conflicts
- 0
- Affected URLs
- 0
Add input to generate a reviewable result.
Rows should use URL, keyword. The checker flags exact normalized keyword conflicts, not rank cannibalization inferred from search data.
See whether AI recommends your brand
Enter your domain to track brand mentions, competitor positions, and cited sources across ChatGPT, Gemini, Perplexity, AI Mode, and AI Overviews.
Keyword cannibalization checker FAQ
Use the Keyword cannibalization checker with clear assumptions.
How does the keyword cannibalization checker work?
The checker parses URL and keyword rows, normalizes the phrase, and flags only transparent many-to-one conflicts.
What should I do with the result?
Decide whether conflicting pages should consolidate, differentiate intent, or target separate query variants.
Is the input sent to an AI model?
The inputs are processed in your browser and are not sent to BeVisible or a language model.