How should a multi-unit dental practice structure neighborhood-specific landing pages to avoid duplicate content penalties while targeting distinct zip codes?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How should a multi-unit dental practice structure neighborhood-specific landing pages to avoid duplicate content penalties while targeting distinct zip codes?
1 real search · 1 real-search pass
Google Search Central duplicate content doorway pages location pages multiple business locations SEO guidance multi-location local landing pagesGoogle ↗
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)
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
ChatGPT1 real searches · gpt-6
Google Search Central duplicate content doorway pages location pages multiple business locations SEO guidance multi-location local landing pages Google ↗
- SEO Starter Guide: The Basics | Google Search Central | Documentation | Google for Developers · developers.google.com
- What is URL Canonicalization | Google Search Central | Documentation | Google for Developers · developers.google.com
- Multi-location SEO: How to build a scalable strategy · semrush.com
Queries
1 queries · click a column to sort