REPOGEO REPORT · LITE

openai/jukebox

Default branch master · commit 08efbbc1 · scanned 6/20/2026, 11:57:39 AM

GitHub: 8,037 stars · 1,447 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

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

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

Reposition README H1 and opening paragraph to highlight unique value

Why:

CURRENT

Status: Archive (code is provided as-is, no updates expected)

# Jukebox
Code for "Jukebox: A Generative Model for Music"

COPY-PASTE FIX

Status: Archive (code is provided as-is, no updates expected)

# Jukebox: A Generative Model for Music with Singing and Vocals
This repository contains the original research code for Jukebox, a pioneering generative AI model capable of creating novel, high-fidelity music, including singing, in various genres and artist styles. It was notably one of the first models to generate raw audio with coherent vocal performances.

mediumabout#2

Update repository description and add specific music generation topics

Why:

CURRENT

Description: Code for the paper "Jukebox: A Generative Model for Music"
Topics: audio, generative-model, music, paper, pytorch, transformer, vq-vae

COPY-PASTE FIX

Update the repository description to: 'Research code for Jukebox, a pioneering generative AI model for creating high-fidelity music, including singing and vocals, in various genres and artist styles.' Add the following topics: `audio-generation, generative-music, music-synthesis, ai-music, singing-synthesis, vocal-generation, deep-learning-audio` (keeping existing `pytorch, transformer, vq-vae`).

lowreadme#3

Add a clear statement about the project's license to the README

Why:

COPY-PASTE FIX

## License
This project is licensed under [insert specific license name(s) here, e.g., 'the custom license defined in the LICENSE file' or 'a combination of X and Y licenses']. Please refer to the [LICENSE](LICENSE) file for full details.

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 openai/jukebox

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Magenta

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Magenta · recommended 2×
Hugging Face Transformers · recommended 2×
DDSP · recommended 2×
🤗 Diffusers · recommended 1×
OpenAI Jukebox · recommended 1×

CATEGORY QUERY
How can I programmatically generate new music compositions using AI models?
you: not recommended
AI recommended (in order):
1. Magenta
2. Hugging Face Transformers
3. 🤗 Diffusers
4. OpenAI Jukebox
5. MusicGen
6. DDSP
7. MuseNet
8. AIVA
AI recommended 8 alternatives but never named openai/jukebox. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What open-source tools exist for experimenting with generative audio models in Python?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers
2. diffusers
3. torchaudio
4. tf.audio
5. AudioGen
6. DDSP
7. Magenta
8. Librosa
AI recommended 8 alternatives but never named openai/jukebox. This is the gap to close.
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?

Embed your GEO score

Drop this badge into the README of openai/jukebox. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/openai/jukebox.svg)](https://repogeo.com/en/r/openai/jukebox)

HTML

<a href="https://repogeo.com/en/r/openai/jukebox"><img src="https://repogeo.com/badge/openai/jukebox.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

openai/jukebox — 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