RRepoGEO

REPOGEO REPORT · LITE

shansongliu/MuMu-LLaMA

Default branch main · commit 7bfc1793 · scanned 6/8/2026, 4:02:51 PM

GitHub: 513 stars · 39 forks

AI VISIBILITY SCORE
28 /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
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 shansongliu/MuMu-LLaMA, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    multi-modal, music-generation, music-understanding, large-language-model, llama, audio-generation, image-to-music, video-to-music, music-editing, m2ugen
  • highabout#2
    Improve the repository description

    Why:

    CURRENT
    This is the official repository for M2UGen
    COPY-PASTE FIX
    MuMu-LLaMA: A multi-modal large language model for music understanding, generation (from text, image, video, audio), and editing, built on LLaMA 2.
  • mediumhomepage#3
    Add the project's homepage URL

    Why:

    COPY-PASTE FIX
    https://crypto-code.github.io/MuMu-LLaMA_Demo/

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 shansongliu/MuMu-LLaMA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Jukebox
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Jukebox · recommended 2×
  2. Hugging Face Transformers · recommended 2×
  3. Google Magenta Studio · recommended 1×
  4. DDSP-VST · recommended 1×
  5. NSynth Super · recommended 1×
  • CATEGORY QUERY
    How to generate music from diverse inputs like text, images, or video?
    you: not recommended
    AI recommended (in order):
    1. Google Magenta Studio
    2. DDSP-VST
    3. NSynth Super
    4. OpenAI Jukebox
    5. Hugging Face Transformers
    6. RunwayML
    7. AIVA
    8. Amper Music
    9. TensorFlow
    10. PyTorch
    11. librosa
    12. essentia
    13. torchaudio

    AI recommended 13 alternatives but never named shansongliu/MuMu-LLaMA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a large language model for multi-modal music understanding and editing.
    you: not recommended
    AI recommended (in order):
    1. Google Magenta
    2. OpenAI Jukebox
    3. Hugging Face Transformers
    4. MusicGen
    5. MERT
    6. Riffusion
    7. Google AudioLM
    8. MusicLM
    9. Meta MusicGen

    AI recommended 9 alternatives but never named shansongliu/MuMu-LLaMA. 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 shansongliu/MuMu-LLaMA?
    pass
    AI did not name shansongliu/MuMu-LLaMA — 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 shansongliu/MuMu-LLaMA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shansongliu/MuMu-LLaMA 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 shansongliu/MuMu-LLaMA solve, and who is the primary audience?
    pass
    AI named shansongliu/MuMu-LLaMA 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 shansongliu/MuMu-LLaMA. 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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shansongliu/MuMu-LLaMA — 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