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How does canonicalization work in technical SEO to prevent duplicate content penalties when you have multiple URLs pointing to the exact same landing page?

ChatGPTgpt-61 query11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How does canonicalization work in technical SEO to prevent duplicate content penalties when you have multiple URLs pointing to the exact same landing page?
1 real search · 1 real-search pass
Google Search Central canonical URLs duplicate URLs rel canonical redirects sitemap canonicalization documentationGoogle ↗
OBSERVEDOther / navigational

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (1)
Short factOther / navigational100%ComparisonConsequenceReasonDefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Google Search Central canonical URLs duplicate URLs rel canonical redirects sitemap canonicalization documentation
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1