RRepoGEO

REPOGEO REPORT · LITE

getkimchi/kimchi

Default branch master · commit 76b783a6 · scanned 6/16/2026, 2:31:58 PM

GitHub: 1,350 stars · 59 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 getkimchi/kimchi, 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
  • highabout#1
    Refine the 'About' description for clarity

    Why:

    CURRENT
    Terminal coding agent powered by Kimchi's multi-model orchestration
    COPY-PASTE FIX
    An AI-powered terminal coding agent and development assistant, leveraging Kimchi's multi-model orchestration for developers.
  • mediumreadme#2
    Add a concise tagline to the README introduction

    Why:

    CURRENT
    # kimchi

A coding agent CLI powered by kimchi. Built on the pi-mono coding agent SDK, kimchi gives you an AI-powered development assistant in your terminal that connects to kimchi's LLM infrastructure.
    COPY-PASTE FIX
    # kimchi

**Your AI-powered terminal coding agent and development assistant.**

A coding agent CLI powered by kimchi. Built on the pi-mono coding agent SDK, kimchi gives you an AI-powered development assistant in your terminal that connects to kimchi's LLM infrastructure.

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 getkimchi/kimchi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. Shell Genie · recommended 1×
  3. Aider · recommended 1×
  4. smol-ai/shell · recommended 1×
  5. TermGPT · recommended 1×
  • CATEGORY QUERY
    What are good AI coding assistants that run directly within my terminal?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Shell Genie
    3. Aider
    4. smol-ai/shell (smol-ai/shell)
    5. TermGPT
    6. Fig AI

    AI recommended 6 alternatives but never named getkimchi/kimchi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a command-line AI development tool with multi-model support.
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. LiteLLM (BerriAI/litellm)
    4. Hugging Face `transformers` library (huggingface/transformers)
    5. OpenAI API

    AI recommended 5 alternatives but never named getkimchi/kimchi. 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 getkimchi/kimchi?
    pass
    AI named getkimchi/kimchi explicitly

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

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

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

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getkimchi/kimchi — 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