RRepoGEO

REPOGEO REPORT · LITE

CommandCodeAI/command-code

Default branch main · commit 6c2384ec · scanned 5/16/2026, 6:02:42 AM

GitHub: 3,210 stars · 330 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 CommandCodeAI/command-code, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the full text of your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highabout#2
    Update the repository's 'About' description

    Why:

    CURRENT
    Command Code AI
    COPY-PASTE FIX
    The AI coding agent that learns your unique coding taste, continuously adapting to your style for full-stack development directly from the command line.
  • mediumtopics#3
    Expand repository topics to highlight unique features

    Why:

    CURRENT
    ai, ai-agent, anthropic, cli, coding-agent, command-code, command-line, command-line-tool, deepseek, glm, harness, kimi, openai
    COPY-PASTE FIX
    ai, ai-agent, anthropic, cli, coding-agent, command-code, command-line, command-line-tool, deepseek, glm, harness, kimi, openai, adaptive-ai, personalized-coding, taste-learning, neuro-symbolic-ai, code-refactoring, full-stack-development

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 CommandCodeAI/command-code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. Tabnine · recommended 1×
  4. Codeium · recommended 1×
  5. JetBrains AI Assistant · recommended 1×
  • CATEGORY QUERY
    What AI coding assistant learns my preferences for generating and refactoring code?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Tabnine
    4. Codeium
    5. JetBrains AI Assistant

    AI recommended 5 alternatives but never named CommandCodeAI/command-code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a command-line AI tool for building full-stack applications and fixing bugs.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI
    2. Cursor
    3. OpenAI API
    4. Continue.dev (continue-dev/continue)
    5. aider (paul-gauthier/aider)
    6. Codeium (Exafunction/codeium)

    AI recommended 6 alternatives but never named CommandCodeAI/command-code. 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 CommandCodeAI/command-code?
    pass
    AI named CommandCodeAI/command-code explicitly

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

  • If a team adopts CommandCodeAI/command-code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CommandCodeAI/command-code 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 CommandCodeAI/command-code solve, and who is the primary audience?
    pass
    AI named CommandCodeAI/command-code 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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MARKDOWN (README)
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CommandCodeAI/command-code — 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