RRepoGEO

REPOGEO REPORT · LITE

MoonshotAI/Kimi-Dev

Default branch master · commit 5f60757f · scanned 5/26/2026, 9:12:39 PM

GitHub: 1,219 stars · 159 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 MoonshotAI/Kimi-Dev, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highhomepage#1
    Set the repository homepage URL in the 'About' section

    Why:

    COPY-PASTE FIX
    https://moonshotai.github.io/Kimi-Dev/
  • mediumreadme#2
    Reinforce Kimi-Dev's identity as a standalone LLM in the README opening

    Why:

    CURRENT
    We introduce Kimi-Dev-72B, our new open-source coding LLM for software engineering tasks. Kimi-Dev-72B achieves a new state-of-the-art on SWE-bench Verified among open-source models.
    COPY-PASTE FIX
    Kimi-Dev-72B is a powerful, open-source coding LLM designed for direct use in software engineering tasks, not an SDK for another product. It achieves a new state-of-the-art on SWE-bench Verified among open-source models.

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-Dev
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Code Llama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Code Llama · recommended 2×
  2. DeepSeek-Coder · recommended 1×
  3. StarCoder2 · recommended 1×
  4. Phi-3-mini · recommended 1×
  5. Mistral 7B / Mixtral 8x7B · recommended 1×
  • CATEGORY QUERY
    What open-source LLMs can help automate code bug fixing and issue resolution?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. DeepSeek-Coder
    3. StarCoder2
    4. Phi-3-mini
    5. Mistral 7B / Mixtral 8x7B
    6. Llama 2

    AI recommended 6 alternatives but never named MoonshotAI/Kimi-Dev. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI model that can autonomously patch code and pass all tests.
    you: not recommended
    AI recommended (in order):
    1. AlphaCode 2
    2. GitHub Copilot
    3. Code Llama
    4. GPT-4
    5. InCoder

    AI recommended 5 alternatives but never named MoonshotAI/Kimi-Dev. 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 MoonshotAI/Kimi-Dev?
    pass
    AI did not name MoonshotAI/Kimi-Dev — 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?

  • If a team adopts MoonshotAI/Kimi-Dev in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MoonshotAI/Kimi-Dev 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-Dev solve, and who is the primary audience?
    pass
    AI named MoonshotAI/Kimi-Dev explicitly

    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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  • Brand-free category queries5 vs 2 in Lite
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