RRepoGEO

REPOGEO REPORT · LITE

Kyle-Ye/XcodeLLMEligible

Default branch main · commit a2dfb342 · scanned 5/20/2026, 8:27:01 AM

GitHub: 3,151 stars · 173 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Kyle-Ye/XcodeLLMEligible, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reinforce the README's opening statement to clarify core purpose

    Why:

    CURRENT
    # Darwin Eligibility Override

> [!WARNING]
> If you want to continue using this repository, please do not update to macOS 15.4 Beta 1 or later versions.
> ...
This project aims to achieve permanent use of Xcode LLM / Apple Intelligence / iPhone Mirroring on any Mac
without disabling System Integrity Protection (SIP) or only disabling it once.
    COPY-PASTE FIX
    # Darwin Eligibility Override

This project provides a method to **enable and permanently use** Xcode LLM, Apple Intelligence, and iPhone Mirroring on unsupported Macs by **bypassing eligibility checks** without requiring System Integrity Protection (SIP) to be permanently disabled.

> [!WARNING]
> If you want to continue using this repository, please do not update to macOS 15.4 Beta 1 or later versions.
> ...
This project aims to achieve permanent use of Xcode LLM / Apple Intelligence / iPhone Mirroring on any Mac
without disabling System Integrity Protection (SIP) or only disabling it once.
  • mediumabout#2
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Enable Xcode LLM, Apple Intelligence, and iPhone Mirroring on unsupported macOS versions by bypassing eligibility checks without permanently disabling System Integrity Protection (SIP).

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 Kyle-Ye/XcodeLLMEligible
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Core ML
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Core ML · recommended 1×
  2. MLX · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. Stable Diffusion · recommended 1×
  5. DiffusionBee · recommended 1×
  • CATEGORY QUERY
    How to enable advanced AI features on my Mac without disabling system integrity protection?
    you: not recommended
    AI recommended (in order):
    1. Core ML
    2. MLX
    3. Hugging Face Transformers
    4. Stable Diffusion
    5. DiffusionBee
    6. InvokeAI
    7. Automatic1111's web UI
    8. OpenAI API
    9. Ollama

    AI recommended 9 alternatives but never named Kyle-Ye/XcodeLLMEligible. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a way to bypass platform feature eligibility checks on my development machine.
    you: not recommended
    AI recommended (in order):
    1. unittest.mock
    2. pytest-mock
    3. Jest
    4. Sinon.js
    5. Mockito
    6. PowerMock
    7. Moq
    8. NSubstitute
    9. Google Chrome DevTools
    10. Mozilla Firefox Developer Tools
    11. VirtualBox
    12. VMware Workstation Player
    13. Fusion
    14. Docker
    15. User-Agent Switcher extensions
    16. Registry Editors
    17. Plist Editors
    18. LD_PRELOAD

    AI recommended 18 alternatives but never named Kyle-Ye/XcodeLLMEligible. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    Suggestion:

  • 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 Kyle-Ye/XcodeLLMEligible?
    pass
    AI did not name Kyle-Ye/XcodeLLMEligible — 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 Kyle-Ye/XcodeLLMEligible in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Kyle-Ye/XcodeLLMEligible 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 Kyle-Ye/XcodeLLMEligible solve, and who is the primary audience?
    pass
    AI named Kyle-Ye/XcodeLLMEligible explicitly

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

Embed your GEO score

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MARKDOWN (README)
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Kyle-Ye/XcodeLLMEligible — 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