RRepoGEO

REPOGEO REPORT · LITE

openai/jukebox

Default branch master · commit 08efbbc1 · scanned 5/10/2026, 1:07:41 PM

GitHub: 8,044 stars · 1,454 forks

AI VISIBILITY SCORE
58 /100
Needs work
Category recall
1 / 2
Avg rank #9.0 when recommended
Rule findings
2 pass · 0 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 openai/jukebox, 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 README's introductory description for application focus

    Why:

    CURRENT
    Code for "Jukebox: A Generative Model for Music"
    COPY-PASTE FIX
    Jukebox provides the code for a generative model that creates original, diverse musical audio, including singing vocals, directly from raw audio. It enables programmatic composition of music using deep learning.
  • mediumtopics#2
    Expand topics to include application-specific keywords

    Why:

    CURRENT
    audio, generative-model, music, paper, pytorch, transformer, vq-vae
    COPY-PASTE FIX
    audio, generative-model, music, paper, pytorch, transformer, vq-vae, music-generation, ai-music, deep-learning-music, audio-synthesis, vocal-synthesis
  • mediumreadme#3
    Add a clear statement about the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under the terms detailed in the [LICENSE](LICENSE) file.

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
1 / 2
50% of queries surface openai/jukebox
Avg rank
#9.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
DDSP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DDSP · recommended 2×
  2. Google Magenta Studio · recommended 1×
  3. Magenta.js · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. 🤗 Diffusers · recommended 1×
  • CATEGORY QUERY
    How can I programmatically create original music compositions using AI models?
    you: not recommended
    AI recommended (in order):
    1. Google Magenta Studio
    2. Magenta.js
    3. Hugging Face Transformers
    4. 🤗 Diffusers
    5. OpenAI Jukebox
    6. Google Lyra
    7. MusicLM
    8. DDSP
    9. AIVA
    10. MuseNet

    AI recommended 10 alternatives but never named openai/jukebox. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source deep learning models exist for generating diverse musical audio?
    you: #9
    AI recommended (in order):
    1. MusicGen
    2. Riffusion
    3. AudioGen
    4. Magenta Studio
    5. MusicVAE
    6. Performance RNN
    7. NoteSeq RNN
    8. DDSP
    9. Jukebox ← you
    10. WaveNet
    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 openai/jukebox?
    pass
    AI named openai/jukebox explicitly

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

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

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

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