RRepoGEO

REPOGEO REPORT · LITE

FunAudioLLM/FunMusic

Default branch main · commit 0aefb55b · scanned 5/14/2026, 9:07:54 PM

GitHub: 1,346 stars · 137 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 FunAudioLLM/FunMusic, 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
    Add a clear introductory sentence linking FunMusic to InspireMusic in the README

    Why:

    CURRENT
    The README excerpt starts with links, then a table of contents, then 'InspireMusic focuses on music generation...'.
    COPY-PASTE FIX
    FunAudioLLM/FunMusic is the official repository for **InspireMusic**, a unified toolkit designed for high-quality, long-form music, song, and audio generation using autoregressive transformers and flow-matching models.
  • highhomepage#2
    Add the project homepage to the repository metadata

    Why:

    COPY-PASTE FIX
    https://funaudiollm.github.io/inspiremusic
  • mediumtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    audio-generation, audio-processing, music-generation, pytorch
    COPY-PASTE FIX
    audio-generation, audio-processing, music-generation, pytorch, text-to-music, audio-synthesis, generative-ai-music, long-form-audio

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 FunAudioLLM/FunMusic
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Diffusers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Diffusers · recommended 2×
  2. torchaudio · recommended 2×
  3. AudioGen · recommended 1×
  4. MusicGen · recommended 1×
  5. Magenta · recommended 1×
  • CATEGORY QUERY
    What are the best Python libraries for generating high-quality long-form music and audio?
    you: not recommended
    AI recommended (in order):
    1. AudioGen
    2. MusicGen
    3. Diffusers
    4. Magenta
    5. torchaudio
    6. Librosa
    7. MidiTok

    AI recommended 7 alternatives but never named FunAudioLLM/FunMusic. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a unified PyTorch toolkit to generate music, songs, and various audio content.
    you: not recommended
    AI recommended (in order):
    1. AudioCraft
    2. Diffusers
    3. torchaudio
    4. PyTorch-GAN
    5. PyTorch-Lightning

    AI recommended 5 alternatives but never named FunAudioLLM/FunMusic. 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 FunAudioLLM/FunMusic?
    pass
    AI named FunAudioLLM/FunMusic explicitly

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

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

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FunAudioLLM/FunMusic — 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