RRepoGEO

REPOGEO REPORT · LITE

QwenLM/Qwen-Audio

Default branch main · commit b50fb958 · scanned 6/23/2026, 6:53:11 PM

GitHub: 1,908 stars · 145 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 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
  • highreadme#1
    Add a concise, prominent positioning statement to the README

    Why:

    COPY-PASTE FIX
    Insert at the very top of README.md, after the language links: "Qwen-Audio is a powerful large audio language model (Audio-LLM) designed for comprehensive audio understanding and multimodal reasoning, enabling advanced conversational AI and diverse audio tasks."
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["audio-llm", "large-language-model", "multimodal-ai", "speech-recognition", "audio-generation", "conversational-ai", "qwen", "alibaba-cloud"]
  • mediumhomepage#3
    Add the project homepage to the 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
Whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 1×
  2. Wav2Vec 2.0 · recommended 1×
  3. HuBERT · recommended 1×
  4. SpeechT5 · recommended 1×
  5. Conformer · recommended 1×
  • CATEGORY QUERY
    What are the best open-source large language models for processing and understanding audio inputs?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. Wav2Vec 2.0
    3. HuBERT
    4. SpeechT5
    5. Conformer
    6. SeamlessM4T

    AI recommended 6 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 agent that responds to spoken language?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Dialogflow ES (Essentials)
    2. Google Cloud Speech-to-Text
    3. Google Cloud Text-to-Speech
    4. Rasa Open Source (rasa/rasa)
    5. Mozilla DeepSpeech (mozilla/DeepSpeech)
    6. NVIDIA Riva ASR
    7. Amazon Polly
    8. Tacotron 2/WaveNet
    9. Amazon Lex
    10. Amazon Transcribe
    11. Microsoft Azure Bot Service
    12. Azure Cognitive Services Speech
    13. OpenAI Whisper (openai/whisper)
    14. OpenAI GPT-3.5/GPT-4
    15. Eleven Labs
    16. Hugging Face Transformers (huggingface/transformers)

    AI recommended 16 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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QwenLM/Qwen-Audio — 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