Cannibalisation detection

When a term is assigned to one page but Google returns a different one, the page is flagged as cannibalised and the fix is stated: pick an owner, link the other at it.

What it is

A verdict state derived by comparing the URL Google actually returns for a keyword against the page the keyword is assigned to. If they differ, the page's verdict becomes cannibalised, the competing path is named in the sentence, and the action is 'decide which page owns this term, point the other one at it with an internal link and drop the overlap'.

Also called: two pages competing · wrong page ranking · keyword cannibalisation · google shows the wrong page

See it
Cannibalisation detection
Won
37%
Avg cycle
12d
Pipeline
$566k
JanSep
A page card with the CANNIBALISED chip and the sentence naming the two competing paths. Sample data — no customer information appears here.
How it works
  1. 1seo_rankings.found_url is reduced to a path and compared with the assigned page's path.
  2. 2A mismatch on an assigned term produces the cannibalised verdict and names the path Google returned.
  3. 3The exclusivity factor separately drops any term already pointed at another page to 0.4, so it is never recommended twice.
  4. 4The reasons list on the term itself reads 'Ranking #N — but Google returns /other-path, not this page'.
Why we built it

Stated in the factor definition: "EXCLUSIVITY — is another page already on it? Two pages chasing one term is how you lose both." Cannibalisation is invisible in a normal rank report, which only shows the position, so a term can look healthy while the wrong page earns it and neither page ever reaches page one. The fix is consolidation, and the model says so explicitly rather than recommending more content.

The problem
  • Rank reports show position but not which URL earned it, hiding overlap.
  • The instinctive fix — write more — makes cannibalisation worse.
Sound familiar?
What you get
The competing page is named, not just the problem
The prescribed fix is consolidation rather than more content
A term already owned elsewhere is never recommended a second time

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