RRepoGEO

REPOGEO REPORT · LITE

Stability-AI/stable-audio-tools

Default branch main · commit 50049e37 · scanned 5/20/2026, 12:53:02 AM

GitHub: 3,703 stars · 456 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
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 Stability-AI/stable-audio-tools, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README's initial description to highlight comprehensive training and fine-tuning capabilities

    Why:

    CURRENT
    Training and inference code for audio generation models
    COPY-PASTE FIX
    A comprehensive PyTorch library and toolkit for training, fine-tuning, and inferring generative audio models.
  • highabout#2
    Refine the repository's 'About' description for clarity and specificity

    Why:

    CURRENT
    Generative models for conditional audio generation
    COPY-PASTE FIX
    A PyTorch toolkit for training, fine-tuning, inference, and dataset preparation of Stability AI's Stable Audio generative models.

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 Stability-AI/stable-audio-tools
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AudioCraft
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AudioCraft · recommended 1×
  2. MusicGen · recommended 1×
  3. AudioGen · recommended 1×
  4. EnCodec · recommended 1×
  5. Riffusion · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality audio samples using AI models in Python?
    you: not recommended
    AI recommended (in order):
    1. AudioCraft
    2. MusicGen
    3. AudioGen
    4. EnCodec
    5. Riffusion
    6. Diffusers
    7. AudioLDM
    8. Tacotron 2
    9. WaveGlow
    10. WaveNet
    11. DDSP

    AI recommended 11 alternatives but never named Stability-AI/stable-audio-tools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for training and fine-tuning generative audio models from scratch?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. JAX
    4. Hugging Face Transformers
    5. Hugging Face diffusers
    6. PaddlePaddle
    7. Haiku
    8. Optax

    AI recommended 8 alternatives but never named Stability-AI/stable-audio-tools. 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 Stability-AI/stable-audio-tools?
    pass
    AI named Stability-AI/stable-audio-tools explicitly

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

  • If a team adopts Stability-AI/stable-audio-tools in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Stability-AI/stable-audio-tools 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 Stability-AI/stable-audio-tools solve, and who is the primary audience?
    pass
    AI did not name Stability-AI/stable-audio-tools — 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?

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Stability-AI/stable-audio-tools — 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