Is it better to use dynamic canonical tags or hardcoded URL parameters when handling faceted navigation filters on Shopify collections?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is it better to use dynamic canonical tags or hardcoded URL parameters when handling faceted navigation filters on Shopify collections?
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Shopify faceted navigation canonical tags collection filters SEO documentation canonical URL parameters OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Google Search Central faceted navigation URL parameters canonical pagination filtering guidance OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |