RRepoGEO

REPOGEO REPORT · LITE

MoonshotAI/Kimi-Audio

Default branch master · commit 349251e1 · scanned 6/18/2026, 2:27:35 PM

GitHub: 4,653 stars · 362 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 MoonshotAI/Kimi-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 descriptive topics to the repository

    Why:

    COPY-PASTE FIX
    audio-foundation-model, audio-understanding, audio-generation, audio-conversation, speech-recognition, audio-to-text, multimodal-ai, large-audio-model, deep-learning
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage rights for potential users.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://huggingface.co/moonshotai/Kimi-Audio-7B

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 MoonshotAI/Kimi-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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 1×
  2. facebookresearch/AudioCraft · recommended 1×
  3. facebookresearch/llama · recommended 1×
  4. Google's USM (Universal Speech Model) · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    What open-source audio foundation models can understand, generate, and converse with sound?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Whisper (openai/whisper)
    2. Meta's AudioCraft (facebookresearch/AudioCraft)
    3. Llama 2 (facebookresearch/llama)
    4. Google's USM (Universal Speech Model)
    5. Hugging Face Transformers (huggingface/transformers)
    6. Wav2Vec2
    7. SpeechBrain (speechbrain/speechbrain)
    8. Mozilla Common Voice (mozilla/common-voice)

    AI recommended 8 alternatives but never named MoonshotAI/Kimi-Audio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an advanced AI model to process, interpret, and generate human-like audio conversations.
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4o
    2. Google Gemini
    3. ElevenLabs
    4. Meta Llama 3
    5. Anthropic Claude 3

    AI recommended 5 alternatives but never named MoonshotAI/Kimi-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
    fail

    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 MoonshotAI/Kimi-Audio?
    pass
    AI named MoonshotAI/Kimi-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 MoonshotAI/Kimi-Audio in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MoonshotAI/Kimi-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 MoonshotAI/Kimi-Audio solve, and who is the primary audience?
    pass
    AI named MoonshotAI/Kimi-Audio explicitly

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

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MoonshotAI/Kimi-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