Real ChatGPT answer · index seedEB2HmPWnBQwcompleteMarketing and advertising · local marketinginformational
How can I use the semantic keyword gaps identified in my latest SEMrush audit to overhaul our multi-location landing page architecture for better local organic visibility?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I use the semantic keyword gaps identified in my latest SEMrush audit to overhaul our multi-location landing page architecture for better local organic visibility?
1 real search · 1 real-search pass
SEMrush keyword gap semantic keyword clustering search intent local SEO location landing pages site architecture guidanceGoogle ↗
OBSERVEDReason
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
SEMrush keyword gap semantic keyword clustering search intent local SEO location landing pages site architecture guidance Google ↗
- Local SEO keyword research: A step-by-step guide · semrush.com
- Multi-location SEO: How to build a scalable strategy · semrush.com
- How to use Keyword Gap? · semrush.com
- Use Semrush‘s keyword clustering tool to build your strategy · semrush.com