RRepoGEO

REPOGEO REPORT · LITE

aimuch/iAI

Default branch main · commit 3db2469d · scanned 6/6/2026, 3:52:25 PM

GitHub: 692 stars · 89 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 aimuch/iAI, 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 the README H1 to specify the repo's core purpose as an environment setup guide

    Why:

    CURRENT
    # AI on Ubuntu Platform
    COPY-PASTE FIX
    # AI Zero to Hero: Complete Deep Learning Environment Setup on Ubuntu
  • mediumtopics#2
    Add more specific topics to reflect the repo's focus on environment setup and guides

    Why:

    CURRENT
    anaconda, caffe, cuda, deep-learning, opencv, pytorch, tensorflow, ubuntu
    COPY-PASTE FIX
    anaconda, caffe, cuda, deep-learning, deep-learning-environment, development-environment, gpu-setup, cuda-installation, machine-learning-guide, opencv, pytorch, tensorflow, ubuntu, ubuntu-deep-learning
  • lowhomepage#3
    Add a homepage URL to complete repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/aimuch/iAI

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 aimuch/iAI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA CUDA Toolkit
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA CUDA Toolkit · recommended 2×
  2. PyTorch · recommended 2×
  3. TensorFlow · recommended 2×
  4. Ubuntu · recommended 1×
  5. cuDNN · recommended 1×
  • CATEGORY QUERY
    How to set up a complete deep learning development environment on a Linux machine?
    you: not recommended
    AI recommended (in order):
    1. Ubuntu
    2. NVIDIA CUDA Toolkit
    3. cuDNN
    4. Anaconda
    5. Miniconda
    6. PyTorch
    7. torchvision
    8. torchaudio
    9. TensorFlow
    10. Keras
    11. TensorFlow Lite
    12. JupyterLab
    13. Jupyter Notebook
    14. VS Code

    AI recommended 14 alternatives but never named aimuch/iAI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the steps to configure GPU acceleration for machine learning frameworks on Linux?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA GPUs
    2. CUDA platform
    3. AMD GPUs
    4. ROCm
    5. Proprietary NVIDIA Drivers
    6. Nouveau drivers
    7. NVIDIA CUDA Toolkit
    8. NVIDIA cuDNN
    9. TensorFlow
    10. PyTorch
    11. JAX

    AI recommended 11 alternatives but never named aimuch/iAI. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 aimuch/iAI?
    pass
    AI named aimuch/iAI explicitly

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

  • If a team adopts aimuch/iAI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aimuch/iAI 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 aimuch/iAI solve, and who is the primary audience?
    pass
    AI named aimuch/iAI 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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aimuch/iAI — 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