RRepoGEO

REPOGEO REPORT · LITE

Stability-AI/stable-audio-tools

Default branch main · commit 3241adba · scanned 7/1/2026, 11:07:52 AM

GitHub: 3,805 stars · 469 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
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 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 the README's opening statement to clarify purpose and scope

    Why:

    CURRENT
    Training and inference code for audio generation models
    COPY-PASTE FIX
    A comprehensive toolkit for training, fine-tuning, and generating high-quality, long-form audio using Stability AI's Stable Audio models.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://stability.ai/stable-audio (or relevant project page)

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
WaveNet
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. WaveNet · recommended 2×
  2. tensorflow/magenta · recommended 1×
  3. magenta/ddsp · recommended 1×
  4. magenta/nsynth · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    How can I generate unique audio content programmatically using machine learning models?
    you: not recommended
    AI recommended (in order):
    1. Google Magenta (tensorflow/magenta)
    2. DDSP (magenta/ddsp)
    3. NSynth (magenta/nsynth)
    4. Hugging Face Transformers (huggingface/transformers)
    5. AudioLDM (haoheliu/AudioLDM)
    6. MusicGen (facebookresearch/audiocraft)
    7. OpenAI Jukebox (openai/jukebox)
    8. Riffusion (riffusion/riffusion)
    9. WaveNet
    10. Tacotron 2 (NVIDIA/tacotron2)
    11. WaveGlow (NVIDIA/waveglow)
    12. Samplab

    AI recommended 12 alternatives but never named Stability-AI/stable-audio-tools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools help train custom AI models for synthesizing audio from conditions?
    you: not recommended
    AI recommended (in order):
    1. Diffusers
    2. Audio Diffusion
    3. Tacotron 2
    4. Glow-TTS
    5. WaveNet
    6. WaveGlow
    7. DDSP
    8. torchaudio
    9. TensorFlow TTS

    AI recommended 9 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 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?

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MARKDOWN (README)
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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