Real ChatGPT answer · index seedUG957QIzNJwcompleteMarketing and advertising · local marketinginformational

How can we leverage the historical ranking volatility data in our SEMrush local grid tracker to predict seasonal drops in our Google Maps visibility?

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

The searches the AI actually ran for this prompt.

SEED QUERY
How can we leverage the historical ranking volatility data in our SEMrush local grid tracker to predict seasonal drops in our Google Maps visibility?
1 real search · 1 real-search pass
SEMrush Local Rank Tracker grid historical rankings export volatility Google Maps local pack tracking documentation seasonal trendsGoogle ↗
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

ChatGPT1 real searches · gpt-6
SEMrush Local Rank Tracker grid historical rankings export volatility Google Maps local pack tracking documentation seasonal trends Google ↗

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
SEMrush Local Rank Tracker grid historical rankings export volatility Google Maps local pack tracking documentation seasonal trends
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
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