RRepoGEO

REPOGEO REPORT · LITE

supermemoryai/apple-mcp

Default branch main · commit 08e2c531 · scanned 5/12/2026, 4:47:46 AM

GitHub: 3,084 stars · 278 forks

AI VISIBILITY SCORE
33 /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
2 / 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 supermemoryai/apple-mcp, 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
    Clarify 'MCP' in the README's main heading

    Why:

    CURRENT
    # 🍎 Apple MCP - Better Siri that can do it all :)
    COPY-PASTE FIX
    # 🍎 Apple MCP (Model Context Protocol) - Better Siri that can do it all :)
  • hightopics#2
    Add more specific topics for AI categorization

    Why:

    CURRENT
    applescripts, modelcontextprotocol
    COPY-PASTE FIX
    applescripts, modelcontextprotocol, macos-automation, siri-extension, ai-agents, native-app-control, apple-intelligence
  • mediumreadme#3
    Strengthen the README's opening paragraph to clarify purpose

    Why:

    CURRENT
    > **Plot twist:** Your Mac can do more than just look pretty. Turn your Apple apps into AI superpowers!
    COPY-PASTE FIX
    > **Plot twist:** Your Mac can do more than just look pretty. Apple MCP (Model Context Protocol) empowers your Mac to turn native Apple apps into AI superpowers, enabling advanced automation and custom Siri-like capabilities directly on your device.

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 supermemoryai/apple-mcp
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. Keyboard Maestro · recommended 1×
  3. asweigart/pyautogui · recommended 1×
  4. appium/appium · recommended 1×
  5. Hammerspoon/hammerspoon · recommended 1×
  • CATEGORY QUERY
    How to automate native macOS apps with AI or advanced scripting?
    you: not recommended
    AI recommended (in order):
    1. AppleScript
    2. Keyboard Maestro
    3. PyAutoGUI (asweigart/pyautogui)
    4. Appium (appium/appium)
    5. Hammerspoon (Hammerspoon/hammerspoon)
    6. UI Vision RPA
    7. Playwright (microsoft/playwright)

    AI recommended 7 alternatives but never named supermemoryai/apple-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools to extend Siri's capabilities for custom actions and application control?
    you: not recommended
    AI recommended (in order):
    1. SiriKit
    2. Shortcuts
    3. App Intents Framework
    4. HomeKit
    5. URL Schemes / Universal Links

    AI recommended 5 alternatives but never named supermemoryai/apple-mcp. 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 supermemoryai/apple-mcp?
    pass
    AI did not name supermemoryai/apple-mcp — likely talking about a different project

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

  • If a team adopts supermemoryai/apple-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named supermemoryai/apple-mcp 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 supermemoryai/apple-mcp solve, and who is the primary audience?
    pass
    AI named supermemoryai/apple-mcp explicitly

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

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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