RRepoGEO

REPOGEO REPORT · LITE

yorgai/ORG2

Default branch develop · commit 29a54295 · scanned 6/21/2026, 11:21:16 AM

GitHub: 850 stars · 54 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 yorgai/ORG2, 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
  • highreadme#1
    Add a disambiguation statement to the README

    Why:

    COPY-PASTE FIX
    Add the following sentence immediately after the main title/tagline in the README: 'Note: ORG-2 is an AI agent IDE and is not related to Emacs Org-mode or Object-Relational Mappers.'
  • highreadme#2
    Strengthen the comparison section in the README

    Why:

    CURRENT
    The README excerpt mentions 'Cursor, Claude Code, and similar tools often treat agents as outsourced assistants...'
    COPY-PASTE FIX
    Add a dedicated section titled 'Why ORG-2? (vs. Cursor, Copilot, etc.)' that explicitly outlines ORG-2's unique value proposition around reviewability, traceability, and control, directly contrasting it with how common alternatives handle agents.
  • mediumabout#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in the 'About' section to `https://github.com/yorgai/ORG2` (or a dedicated project website if one exists).

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 yorgai/ORG2
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 Chat · recommended 2×
  3. Codeium · recommended 1×
  4. Tabnine Chat · recommended 1×
  5. CodiumAI · recommended 1×
  • CATEGORY QUERY
    I need an AI coding assistant that prioritizes code review and agent traceability, not just speed.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. GitHub Copilot Chat
    3. Codeium
    4. Tabnine Chat
    5. CodiumAI
    6. DeepCode AI
    7. Snyk Code

    AI recommended 7 alternatives but never named yorgai/ORG2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good local-first AI coding environments with strong agent observability features?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue
    3. Open Interpreter
    4. VS Code
    5. CodeGPT
    6. GitHub Copilot Chat
    7. JupyterLab
    8. Jupyter Notebooks
    9. Code Llama
    10. Ollama

    AI recommended 10 alternatives but never named yorgai/ORG2. 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 yorgai/ORG2?
    pass
    AI named yorgai/ORG2 explicitly

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

  • If a team adopts yorgai/ORG2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yorgai/ORG2 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 yorgai/ORG2 solve, and who is the primary audience?
    pass
    AI named yorgai/ORG2 explicitly

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

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yorgai/ORG2 — 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