Cannibalisation Audit
Judges by intent overlap rather than keyword overlap, since two phrasings of one want are one page.
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Running it, start to finish
- Look for queries whose ranking page changes over time.
- Judge each pair on intent, not on keyword similarity.
- Move content to the URL that holds the external links.
What you get back
The output this produces, every time.
- Uses ranking-page instability as the clearest evidence that the engine cannot choose.
- Judges by intent rather than keyword overlap, which is what actually determines competition.
- Chooses the survivor on links and URL quality, not just on current traffic.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Look at ranking history. A query whose ranking page keeps swapping is the most reliable cannibalisation signal available.
- Combine, do not concatenate. Joining two thin pages produces one long thin page, which is not the improvement the merge was meant to deliver.
- Keep a page-to-target register. Most cannibalisation comes from commissioning content without knowing what already covers the query.
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Topic Cluster Architecture
Designs a pillar-and-cluster structure with a build order, flagging the pages that would cannibalise each other before you write them.
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Page Speed Triage
Fixes what affects the metric on the pages that rank, rather than chasing a site-wide score.
ClaudeChatGPT000Open →
Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.
