RRepoGEO

REPOGEO REPORT · LITE

QwenLM/Qwen-Audio

Default branch main · commit b50fb958 · scanned 5/13/2026, 7:57:59 AM

GitHub: 1,897 stars · 144 forks

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 QwenLM/Qwen-Audio, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    audio-language-model, multimodal-ai, speech-recognition, audio-processing, large-language-models, llm, generative-ai, qwen, alibaba-cloud, audio-generation, conversational-ai
  • highreadme#2
    Add a concise, benefit-driven opening statement to the README

    Why:

    CURRENT
    The current README starts with language links and badges, not a direct statement of purpose.
    COPY-PASTE FIX
    Add this sentence immediately after the language selection links and before any badges or further content: "Qwen-Audio is Alibaba Cloud's official large audio language model (Audio LLM), enabling advanced multimodal AI by understanding and generating responses from diverse audio inputs like speech, music, and environmental sounds."
  • mediumhomepage#3
    Add the project homepage to the GitHub 'About' section

    Why:

    COPY-PASTE FIX
    https://qwen-audio.github.io/Qwen-Audio/

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 QwenLM/Qwen-Audio
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Whisper
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Whisper · recommended 2×
  2. Google Cloud Speech-to-Text · recommended 2×
  3. Hugging Face Transformers · recommended 2×
  4. GPT-4 · recommended 1×
  5. GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    Need a large language model capable of processing and generating responses from audio.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper
    2. GPT-4
    3. GPT-3.5 Turbo
    4. Google Cloud Speech-to-Text
    5. Google Gemini
    6. PaLM 2
    7. AssemblyAI
    8. Conformer-2
    9. LeMUR
    10. Azure AI Speech
    11. Azure OpenAI Service
    12. Hugging Face Transformers
    13. Wav2Vec2
    14. Llama 2
    15. Mistral
    16. Falcon
    17. Bark
    18. VITS

    AI recommended 18 alternatives but never named QwenLM/Qwen-Audio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I build a conversational AI system that understands spoken language input?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text
    2. Dialogflow ES
    3. Dialogflow CX
    4. AWS Transcribe
    5. Amazon Lex
    6. Microsoft Azure Cognitive Services (Speech Service)
    7. Language Understanding (LUIS)
    8. Conversational Language Understanding (CLU)
    9. OpenAI Whisper
    10. spaCy
    11. NLTK
    12. Hugging Face Transformers
    13. Rasa Open Source

    AI recommended 13 alternatives but never named QwenLM/Qwen-Audio. 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 QwenLM/Qwen-Audio?
    pass
    AI named QwenLM/Qwen-Audio explicitly

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

  • If a team adopts QwenLM/Qwen-Audio in production, what risks or prerequisites should they evaluate first?
    pass
    AI named QwenLM/Qwen-Audio 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 QwenLM/Qwen-Audio solve, and who is the primary audience?
    pass
    AI named QwenLM/Qwen-Audio 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 QwenLM/Qwen-Audio. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite