RRepoGEO

REPOGEO REPORT · LITE

openclaw/Peekaboo

Default branch main · commit 96a165d7 · scanned 5/19/2026, 12:32:22 PM

GitHub: 4,370 stars · 330 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface openclaw/Peekaboo, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add explicit purpose statement to README to counter miscategorization

    Why:

    CURRENT
    Peekaboo brings high-fidelity screen capture, AI analysis, and complete GUI automation to macOS. Version 3 adds native agent flows and multi-screen automation across the CLI and MCP server.
    COPY-PASTE FIX
    Peekaboo brings high-fidelity screen capture, AI analysis, and complete GUI automation to macOS for building intelligent agents and workflows. It is designed for automation and AI interaction, not for security scanning or discovering hidden files. Version 3 adds native agent flows and multi-screen automation across the CLI and MCP server.
  • mediumtopics#2
    Expand topics to include specific AI agent and GUI automation terms

    Why:

    CURRENT
    ai, macos, mcp, screenshots, swift
    COPY-PASTE FIX
    ai, macos, mcp, screenshots, swift, gui-automation, ai-agent, visual-question-answering, mac-automation, desktop-automation
  • lowreadme#3
    Strengthen emphasis on AI agent capabilities in README introduction

    Why:

    CURRENT
    Peekaboo brings high-fidelity screen capture, AI analysis, and complete GUI automation to macOS.
    COPY-PASTE FIX
    Peekaboo is an advanced AI agent platform for macOS, bringing high-fidelity screen capture, AI analysis, and complete GUI automation to macOS.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface openclaw/Peekaboo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AppleScript
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AppleScript · recommended 2×
  2. OpenCV · recommended 2×
  3. OpenAI GPT-4V (Vision) · recommended 1×
  4. pyautogui · recommended 1×
  5. Appium · recommended 1×
  • CATEGORY QUERY
    How can I automate macOS GUI interactions using AI agents for screen analysis?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4V (Vision)
    2. pyautogui
    3. Appium
    4. AppleScript
    5. AXUIElement
    6. Playwright
    7. playwright-python
    8. playwright-java
    9. Appium Desktop
    10. Appium-Python-Client
    11. SikuliX
    12. OpenCV
    13. Tesseract
    14. pytesseract
    15. Google Cloud Vision
    16. Azure Cognitive Services

    AI recommended 16 alternatives but never named openclaw/Peekaboo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable AI models to capture macOS screenshots and perform visual question answering?
    you: not recommended
    AI recommended (in order):
    1. AppleScript
    2. Python
    3. screencapture
    4. Pillow
    5. OpenCV
    6. Hugging Face Transformers Library
    7. ViLT
    8. BLIP
    9. OFA
    10. PyTorch
    11. TensorFlow
    12. TensorFlow Lite
    13. Streamlit
    14. Gradio

    AI recommended 14 alternatives but never named openclaw/Peekaboo. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of openclaw/Peekaboo?
    pass
    AI named openclaw/Peekaboo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts openclaw/Peekaboo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openclaw/Peekaboo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo openclaw/Peekaboo solve, and who is the primary audience?
    pass
    AI named openclaw/Peekaboo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of openclaw/Peekaboo. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/openclaw/Peekaboo"><img src="https://repogeo.com/badge/openclaw/Peekaboo.svg" alt="RepoGEO" /></a>
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openclaw/Peekaboo — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite