RRepoGEO

REPOGEO REPORT · LITE

FunAudioLLM/Fun-Audio-Chat

Default branch main · commit 8ba984b6 · scanned 6/10/2026, 7:39:33 AM

GitHub: 964 stars · 105 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 FunAudioLLM/Fun-Audio-Chat, 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 specific topics to the repository

    Why:

    COPY-PASTE FIX
    audio-llm, large-audio-model, voice-ai, interactive-ai, low-latency, speech-understanding, speech-generation, chatbot, conversational-ai
  • highreadme#2
    Reposition the README's opening sentence to clarify its interactive chatbot nature

    Why:

    CURRENT
    **Fun-Audio-Chat** is a Large Audio Language Model built for natural, low-latency voice interactions.
    COPY-PASTE FIX
    **Fun-Audio-Chat** is a Large Audio Language Model (LALM) designed for natural, low-latency, and highly interactive voice conversations, functioning as an advanced audio chatbot.
  • mediumhomepage#3
    Add the project homepage to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://funaudiollm.github.io/funaudiochat

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 FunAudioLLM/Fun-Audio-Chat
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 1×
  2. openvinotoolkit/openvino · recommended 1×
  3. microsoft/onnxruntime · recommended 1×
  4. NVIDIA/TensorRT · recommended 1×
  5. AssemblyAI · recommended 1×
  • CATEGORY QUERY
    How can I integrate an audio language model for low-latency voice interactions?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. OpenVINO (openvinotoolkit/openvino)
    3. ONNX Runtime (microsoft/onnxruntime)
    4. TensorRT (NVIDIA/TensorRT)
    5. AssemblyAI
    6. Google Cloud Speech-to-Text
    7. Picovoice Rhino Speech-to-Intent (Picovoice/rhino)
    8. Mozilla DeepSpeech (mozilla/DeepSpeech)
    9. NVIDIA Riva (nvidia/riva)

    AI recommended 9 alternatives but never named FunAudioLLM/Fun-Audio-Chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source large audio language models for real-time applications?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. VOSK
    3. Wav2Vec2
    4. Conformer-CTC
    5. SpeechT5

    AI recommended 5 alternatives but never named FunAudioLLM/Fun-Audio-Chat. 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 FunAudioLLM/Fun-Audio-Chat?
    pass
    AI named FunAudioLLM/Fun-Audio-Chat explicitly

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

  • If a team adopts FunAudioLLM/Fun-Audio-Chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FunAudioLLM/Fun-Audio-Chat 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 FunAudioLLM/Fun-Audio-Chat solve, and who is the primary audience?
    pass
    AI named FunAudioLLM/Fun-Audio-Chat 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 FunAudioLLM/Fun-Audio-Chat. 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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HTML
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FunAudioLLM/Fun-Audio-Chat — 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
FunAudioLLM/Fun-Audio-Chat — RepoGEO report