RRepoGEO

REPOGEO REPORT · LITE

luyao618/Claude-Code-Source-Study

Default branch main · commit 50e068de · scanned 5/11/2026, 1:57:46 AM

GitHub: 1,337 stars · 501 forks

AI VISIBILITY SCORE
22 /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
1 / 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 luyao618/Claude-Code-Source-Study, 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 for AI agent development and source code analysis

    Why:

    COPY-PASTE FIX
    ai-agent, agent-framework, source-code-analysis, claude, anthropic, prompt-engineering, context-management, cli-tool, typescript, bun
  • highreadme#2
    Reposition README H1 and subtitle to clarify it's a source code *study* for *learning to build* AI agents

    Why:

    CURRENT
    # 深入 Claude Code 源码
> **从 Anthropic 的 AI 编程助手源码中，学会构建 AI Agent 应用的全栈技术**
    COPY-PASTE FIX
    # Claude Code 源码深度解析：构建 AI Agent 应用实战
> **通过 Anthropic 顶级 AI 编程助手源码的逐行分析，掌握设计与实现生产级 AI Agent 的全栈技术与核心模式。**
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://luyao618.github.io/Claude-Code-Source-Study/

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 luyao618/Claude-Code-Source-Study
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 1×
  4. AutoGPT · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How to build robust AI agent applications by studying real-world production codebases?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. CrewAI
    6. Microsoft Semantic Kernel
    7. OpenAI Function Calling

    AI recommended 7 alternatives but never named luyao618/Claude-Code-Source-Study. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking examples of advanced prompt engineering and context management for AI CLI tools.
    you: not recommended
    AI recommended (in order):
    1. OpenAI's GPT-3/GPT-4 API
    2. openai-python library
    3. Pinecone
    4. Weaviate
    5. ChromaDB
    6. LangChain
    7. LlamaIndex
    8. Hugging Face Transformers
    9. Faiss
    10. Elasticsearch
    11. Cohere API
    12. cohere Python library
    13. Anthropic Claude API
    14. anthropic Python library

    AI recommended 14 alternatives but never named luyao618/Claude-Code-Source-Study. 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 luyao618/Claude-Code-Source-Study?
    pass
    AI did not name luyao618/Claude-Code-Source-Study — 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 luyao618/Claude-Code-Source-Study in production, what risks or prerequisites should they evaluate first?
    pass
    AI named luyao618/Claude-Code-Source-Study 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 luyao618/Claude-Code-Source-Study solve, and who is the primary audience?
    pass
    AI did not name luyao618/Claude-Code-Source-Study — 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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  • Brand-free category queries5 vs 2 in Lite
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