RRepoGEO

REPOGEO REPORT · LITE

xintaofei/codeg

Default branch main · commit 626644e6 · scanned 6/24/2026, 12:02:44 AM

GitHub: 1,756 stars · 205 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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
    Strengthen README H1 with core value proposition

    Why:

    CURRENT
    # Codeg
    COPY-PASTE FIX
    # Codeg: Collaborative Multi-Agent AI Coding Workspace
  • mediumtopics#2
    Add specific topics for 'multi-agent' and 'workspace'

    Why:

    CURRENT
    acp, agent, claude-code, code-generation, codex, gemini-cli, git, gui, ilink, lark, openclaw, opencode, telegram, worktree
    COPY-PASTE FIX
    acp, agent, claude-code, code-generation, codex, gemini-cli, git, gui, ilink, lark, openclaw, opencode, telegram, worktree, multi-agent-ai, ai-workspace, coding-environment, agent-orchestration
  • mediumhomepage#3
    Add homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://github.com/xintaofei/codeg

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
JetBrains AI Assistant
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. JetBrains AI Assistant · recommended 2×
  2. VS Code · recommended 1×
  3. GitHub Copilot · recommended 1×
  4. tabnine/Tabnine · recommended 1×
  5. exafunction/codeium · recommended 1×
  • CATEGORY QUERY
    How to integrate and manage multiple AI coding assistants within a unified development environment?
    you: not recommended
    AI recommended (in order):
    1. VS Code
    2. GitHub Copilot
    3. Tabnine (tabnine/Tabnine)
    4. Codeium (exafunction/codeium)
    5. Amazon CodeWhisperer
    6. Blackbox AI
    7. Continue.dev (continue-dev/continue)
    8. JetBrains IDEs
    9. JetBrains AI Assistant
    10. OpenAI API
    11. Anthropic API
    12. Hugging Face Transformers Library (huggingface/transformers)
    13. Cursor
    14. Replit AI

    AI recommended 14 alternatives but never named xintaofei/codeg. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools offer a collaborative AI code generation workspace with self-hosted or desktop deployment?
    you: not recommended
    AI recommended (in order):
    1. Tabnine Enterprise
    2. GitHub Copilot Enterprise
    3. Code Llama
    4. LocalAI
    5. JetBrains AI Assistant
    6. Continue.dev

    AI recommended 6 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?

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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