RRepoGEO

REPOGEO REPORT · LITE

LING71671/Open-ClaudeCode

Default branch main · commit e54c5afd · scanned 6/2/2026, 12:57:35 AM

GitHub: 871 stars · 1,198 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 LING71671/Open-ClaudeCode, 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 relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-coding-assistant, source-code-analysis, anthropic-claude, reverse-engineering, ai-tools, developer-tools, typescript
  • highreadme#2
    Reposition README subtitle to clarify project's study/research purpose

    Why:

    CURRENT
    > 完整开源的 Claude Code 项目 - 基于 Anthropic 官方源码重建
    COPY-PASTE FIX
    > 完整开源的 Claude Code 项目 - 基于 Anthropic 官方源码重建，旨在深入学习和研究 AI 编程助手的内部架构与实现。
  • mediumhomepage#3
    Add a homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/LING71671/Open-ClaudeCode

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 LING71671/Open-ClaudeCode
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Cursor · recommended 1×
  3. Tabnine · recommended 1×
  4. Codeium · recommended 1×
  5. Amazon CodeWhisperer · recommended 1×
  • CATEGORY QUERY
    Looking for an AI coding assistant to help with development workflows and code generation.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Tabnine
    4. Codeium
    5. Amazon CodeWhisperer
    6. Google Gemini

    AI recommended 6 alternatives but never named LING71671/Open-ClaudeCode. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find open source projects to understand how AI programming tools are built?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow (tensorflow/tensorflow)
    2. PyTorch (pytorch/pytorch)
    3. JAX (google/jax)
    4. Hugging Face Transformers (huggingface/transformers)
    5. ONNX Runtime (microsoft/onnxruntime)
    6. scikit-learn (scikit-learn/scikit-learn)
    7. Keras (keras-team/keras)

    AI recommended 7 alternatives but never named LING71671/Open-ClaudeCode. 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 LING71671/Open-ClaudeCode?
    pass
    AI named LING71671/Open-ClaudeCode explicitly

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

  • If a team adopts LING71671/Open-ClaudeCode in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LING71671/Open-ClaudeCode 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 LING71671/Open-ClaudeCode solve, and who is the primary audience?
    pass
    AI did not name LING71671/Open-ClaudeCode — 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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LING71671/Open-ClaudeCode — 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