RRepoGEO

REPOGEO REPORT · LITE

AudioLLMs/Awesome-Audio-LLM

Default branch main · commit 3729119e · scanned 6/17/2026, 11:52:51 AM

GitHub: 933 stars · 48 forks

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 AudioLLMs/Awesome-Audio-LLM, 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
  • highlicense#1
    Add a LICENSE file to the repository root

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT for a list/hub).
  • mediumreadme#2
    Reposition README H1 to explicitly state it's a curated list/hub

    Why:

    CURRENT
    # 🎧 audio-ai-hub **The hub for audio AI research.** Curated papers, open models, benchmarks and datasets across audio LLMs · speech recognition · speech synthesis · music & audio generation.
    COPY-PASTE FIX
    # 🎧 Awesome Audio AI Hub: The definitive curated list for audio AI research. Discover papers, open models, benchmarks, and datasets across audio LLMs · speech recognition · speech synthesis · music & audio generation.
  • lowtopics#3
    Add 'awesome-list' topic to reinforce repo type

    Why:

    CURRENT
    audio-ai, audio-generation, audio-llm, music-generation, paper-list, speech-recognition, tts
    COPY-PASTE FIX
    audio-ai, audio-generation, audio-llm, music-generation, paper-list, speech-recognition, tts, awesome-list

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 AudioLLMs/Awesome-Audio-LLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Hub
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Hub · recommended 1×
  2. Papers With Code · recommended 1×
  3. GitHub · recommended 1×
  4. Google Scholar · recommended 1×
  5. arXiv · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of open-source models and research in audio AI?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. Papers With Code
    3. GitHub
    4. Google Scholar
    5. arXiv
    6. Kaggle
    7. OpenAI
    8. Whisper
    9. Jukebox
    10. Mozilla Common Voice

    AI recommended 10 alternatives but never named AudioLLMs/Awesome-Audio-LLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the leading open-source frameworks and datasets for music and speech generation tasks?
    you: not recommended
    AI recommended (in order):
    1. Magenta
    2. Hugging Face Transformers
    3. MusicGen
    4. AudioGen
    5. Diffusers
    6. TorchAudio
    7. Bark
    8. VALL-E
    9. Tacotron 2
    10. ESPnet
    11. FastSpeech 2
    12. VITS
    13. Coqui TTS
    14. Glow-TTS
    15. NVIDIA NeMo
    16. HiFi-GAN

    AI recommended 16 alternatives but never named AudioLLMs/Awesome-Audio-LLM. 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 AudioLLMs/Awesome-Audio-LLM?
    pass
    AI named AudioLLMs/Awesome-Audio-LLM explicitly

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

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

Embed your GEO score

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AudioLLMs/Awesome-Audio-LLM — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite