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How can I analyze my Google Search Console keyword data more effectively to find buyer intent keywords we are currently missing in our content marketing strategy?

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 I analyze my Google Search Console keyword data more effectively to find buyer intent keywords we are currently missing in our content marketing strategy?
1 real search · 1 real-search pass
Google Search Console performance report query page filters export data official documentation search analytics API dimensionsGoogle ↗
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
Google Search Console performance report query page filters export data official documentation search analytics API dimensions Google ↗

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Google Search Console performance report query page filters export data official documentation search analytics API dimensions
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1