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.
소스 정보
- 저장소
- modbender/skill-library-mcp
- 최근 소스 활동
- 2026년 3월 6일 18:33
- 감지된 SKILL.md 언어
- 영어
- 스타
- 12
- 포크
- 3
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SKILL.md 표시 중
SKILL.md
소스 지침 · 읽기 전용 미리보기- 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
```bash
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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