RRepoGEO

REPOGEO REPORT · LITE

xintaofei/codeg

Default branch main · commit c9653958 · scanned 5/13/2026, 1:02:24 PM

GitHub: 1,165 stars · 126 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 xintaofei/codeg, 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
    Reposition README's opening statement to clarify core identity

    Why:

    CURRENT
    Codeg (Code Generation) is an enterprise-grade multi-agent coding workspace.
    COPY-PASTE FIX
    Codeg is a unified workspace designed for aggregating and browsing sessions from various AI coding agents (like Claude Code, Codex CLI, Gemini CLI, etc.) in one place. Available as a desktop app, self-hosted server, or Docker container, it provides a central hub for managing your AI-assisted development workflows.
  • highabout#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/xintaofei/codeg
  • mediumtopics#3
    Add broader category topics for AI agent management

    Why:

    CURRENT
    acp, agent, claude-code, code-generation, codex, gemini-cli, git, gui, ilink, lark, openclaw, opencode, telegram, worktree
    COPY-PASTE FIX
    acp, agent, agent-orchestration, ai-agent-workspace, ai-developer-tools, claude-code, code-generation, codex, gemini-cli, git, gui, ilink, lark, openclaw, opencode, session-management, telegram, worktree

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 xintaofei/codeg
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. VS Code · recommended 1×
  3. GitHub Copilot · recommended 1×
  4. Codeium · recommended 1×
  5. Tabnine · recommended 1×
  • CATEGORY QUERY
    How to manage and browse sessions from different AI coding assistants in one place?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. VS Code
    3. GitHub Copilot
    4. Codeium
    5. Tabnine
    6. AWS CodeWhisperer
    7. Obsidian
    8. Notion
    9. Logseq
    10. Tmux
    11. Screen
    12. OpenAI API
    13. Anthropic API

    AI recommended 13 alternatives but never named xintaofei/codeg. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Unified workspace for multiple AI code generation tools with integrated Git and remote access.
    you: not recommended
    AI recommended (in order):
    1. GitHub Codespaces
    2. GitPod
    3. VS Code Remote Development
    4. JetBrains Gateway
    5. AWS Cloud9

    AI recommended 5 alternatives but never named xintaofei/codeg. 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 xintaofei/codeg?
    pass
    AI named xintaofei/codeg explicitly

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

  • If a team adopts xintaofei/codeg in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xintaofei/codeg 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 xintaofei/codeg solve, and who is the primary audience?
    pass
    AI did not name xintaofei/codeg — 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?

Embed your GEO score

Drop this badge into the README of xintaofei/codeg. 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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xintaofei/codeg — 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