RRepoGEO

REPOGEO REPORT · LITE

openclaw/Peekaboo

Default branch main · commit dda07c24 · scanned 6/30/2026, 10:07:50 PM

GitHub: 4,811 stars · 367 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
    Reposition README H1 and opening paragraph to clarify core purpose

    Why:

    CURRENT
    # Peekaboo 🫣 - Mac automation that sees the screen and does the clicks.

Peekaboo brings high-fidelity screen capture, AI analysis, and complete GUI automation to macOS.
    COPY-PASTE FIX
    # Peekaboo 🫣 - macOS GUI Automation for AI Agents: See the screen, do the clicks.

Peekaboo is a macOS CLI and optional server designed for AI agents, enabling high-fidelity screen capture, AI analysis, and complete GUI automation.
  • mediumtopics#2
    Expand repository topics to include broader automation and AI terms

    Why:

    CURRENT
    ai, macos, mcp, screenshots, swift
    COPY-PASTE FIX
    ai, macos, mcp, screenshots, swift, gui-automation, desktop-automation, agent, visual-question-answering, vqa, cli, server
  • lowreadme#3
    Add explicit mention of Visual Question Answering (VQA) in 'What you get' section

    Why:

    COPY-PASTE FIX
    Add a new bullet point to the 'What you get' section: '- Optional visual question answering (VQA) capabilities through local or remote AI models.'

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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AppleScript · recommended 1×
  2. pyautogui/pyautogui · recommended 1×
  3. appium/appium · recommended 1×
  4. AXElements/AXElements · recommended 1×
  5. Keyboard Maestro · recommended 1×
  • CATEGORY QUERY
    How can AI agents programmatically interact with and automate macOS applications?
    you: not recommended
    AI recommended (in order):
    1. AppleScript
    2. PyAutoGUI (pyautogui/pyautogui)
    3. Appium (appium/appium)
    4. AXElements (AXElements/AXElements)
    5. Keyboard Maestro
    6. Swift/Objective-C

    AI recommended 6 alternatives but never named openclaw/Peekaboo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for capturing macOS application screenshots and performing visual analysis with local AI?
    you: not recommended
    AI recommended (in order):
    1. Pillow
    2. OpenCV
    3. scikit-image
    4. Tesseract
    5. scikit-learn
    6. ONNX Runtime
    7. Apple Vision Framework
    8. pyobjc
    9. Appium
    10. Pillow-SIMD
    11. ImageHash
    12. SikuliX
    13. Playwright

    AI recommended 13 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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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