aeo-grounding-query-mapper

To extract Google Search grounding queries fired by Gemini, you can run a Python script that processes single or batch prompts to collect and analyze the exact search queries used for retrieval. This reveals the underlying query frequency and intent.

Grounding query mapping is the process of identifying and analyzing the search queries Gemini fires when answering prompts. It helps you understand retrieval behavior, group similar queries through clustering, and identify themes across various scenarios.

Yes, you can analyze Gemini grounding queries in batch workflows. The mapping process applies to both single prompts and batch workflows, implementing a deterministic workflow with concurrent requests to reveal query frequency, intent, and sources across multiple scenarios.

To cluster and detect patterns in Gemini search queries, the system groups similar queries and identifies themes across prompts. This allows you to compare query sets and reveal core retrieval patterns for downstream dashboards.

Yes, you need an API key to map Gemini grounding queries. The deterministic workflow includes an API key gate to authenticate requests before extracting queries, clustering patterns, and generating structured output for downstream analysis.