aeo-prompt-frequency-analyzer

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.

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Install skill "aeo-prompt-frequency-analyzer" with this command: npx skills add psyduckler/aeo-prompt-frequency-analyzer

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_KEY env var (stored in macOS Keychain under nano-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 json for programmatic consumption

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