RRepoGEO

REPOGEO REPORT · LITE

luyao618/Claude-Code-Source-Study

Default branch main · commit 31b6e07a · scanned 6/21/2026, 4:17:29 AM

GitHub: 1,547 stars · 539 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 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
  • highreadme#1
    Reposition README H1 to explicitly state it's a source code analysis and study guide

    Why:

    CURRENT
    # 深入 Claude Code 源码
    COPY-PASTE FIX
    # 深入 Claude Code 源码：AI Agent 应用全栈技术源码分析与学习指南
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agent, source-code-analysis, claude, anthropic, ai-programming, educational-resource, agent-orchestration, tool-system
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://github.com/luyao618/Claude-Code-Source-Study/blob/main/docs/00-目录与阅读指引.md

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. AutoGPT · recommended 1×
  4. Hugging Face Transformers Agents · recommended 1×
  5. OpenAI's Function Calling Examples · recommended 1×
  • CATEGORY QUERY
    How to learn best practices for building robust AI agent applications from production code?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. Hugging Face Transformers Agents
    5. OpenAI's Function Calling Examples
    6. Microsoft's Semantic Kernel

    AI recommended 6 alternatives but never named luyao618/Claude-Code-Source-Study. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources to understand multi-agent orchestration, tool systems, and terminal UI for AI assistants.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. AutoGen
    5. Typer
    6. Click
    7. Rich
    8. Prompt Toolkit

    AI recommended 8 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 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?

  • 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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luyao618/Claude-Code-Source-Study — 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