RRepoGEO

REPOGEO REPORT · LITE

keijiro/AICommand

Default branch main · commit 047400f5 · scanned 5/10/2026, 1:37:33 PM

GitHub: 4,117 stars · 427 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 keijiro/AICommand, 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
    unity, chatgpt, llm, editor-extension, game-development, ai, proof-of-concept
  • highreadme#2
    Reposition the README's opening sentence to emphasize exploratory value

    Why:

    CURRENT
    This is a proof-of-concept integration of ChatGPT into Unity Editor. You can control the Editor using natural language prompts.
    COPY-PASTE FIX
    AICommand is a proof-of-concept Unity Editor extension that integrates ChatGPT, allowing you to control the Editor using natural language prompts and explore the possibilities of AI-driven game development workflows.
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/keijiro/AICommand

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 keijiro/AICommand
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT / GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT / GPT-4 · recommended 1×
  2. GitHub Copilot / Copilot X · recommended 1×
  3. Unreal Engine 5.x · recommended 1×
  4. Unity · recommended 1×
  5. nltk/nltk · recommended 1×
  • CATEGORY QUERY
    How to control game engine development tasks using natural language prompts?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT / GPT-4
    2. GitHub Copilot / Copilot X
    3. Unreal Engine 5.x
    4. Unity
    5. NLTK (nltk/nltk)
    6. SpaCy (explosion/spaCy)
    7. Hugging Face Transformers (huggingface/transformers)
    8. Midjourney / DALL-E 3

    AI recommended 8 alternatives but never named keijiro/AICommand. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for integrating large language models into a game development environment workflow?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers
    3. LangChain
    4. Google Cloud Vertex AI
    5. Microsoft Azure OpenAI Service
    6. Cohere
    7. Llama.cpp / GGML

    AI recommended 7 alternatives but never named keijiro/AICommand. 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 keijiro/AICommand?
    pass
    AI did not name keijiro/AICommand — 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 keijiro/AICommand in production, what risks or prerequisites should they evaluate first?
    pass
    AI named keijiro/AICommand 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 keijiro/AICommand solve, and who is the primary audience?
    pass
    AI named keijiro/AICommand 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 keijiro/AICommand. 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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keijiro/AICommand — 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