- name
- aeo-prompt-frequency-analyzer
- description
- Analyze what search queries Gemini uses when answering a prompt, by running it multiple times with Google Search grounding and reporting frequency distribution. Use when investigating AEO query patterns, understanding how AI models search the web for a topic, or studying the probabilistic nature of AI-triggered search queries.
Prompt Frequency Analyzer
Run a prompt N times against Gemini with Google Search grounding enabled. Collect and report the frequency of search queries Gemini generates across all runs.
Usage
GEMINI_API_KEY=$(security find-generic-password -s "nano-banana-pro" -w) \
python3 scripts/analyze.py "your prompt here" [--runs 10] [--model gemini-2.5-pro] [--concurrency 5] [--output text|json]Run from the skill directory. Resolve scripts/analyze.py relative to this SKILL.md.
Options
--runs N— Number of times to run the prompt (default: 10)--model NAME— Gemini model to use (default: gemini-2.5-pro)--concurrency N— Max parallel API calls (default: 5; keep ≤5 to avoid rate limits)--output text|json— Output format (default: text)
Output
Reports for each unique search query:
- Frequency percentage (how many runs used that query)
- Raw count
- Top web sources referenced
Notes
- Gemini API key must be in
GEMINI_API_KEYenv var (stored in macOS Keychain undernano-banana-pro) - Each run is independent — Gemini may use different search queries each time
- Retries failed requests up to 3 times with exponential backoff
- Use
--output jsonfor programmatic consumption