RRepoGEO

REPOGEO REPORT · LITE

xianyu110/awesome-claudcode-tutorial

Default branch main · commit 5efae21d · scanned 6/27/2026, 11:28:04 PM

GitHub: 511 stars · 107 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 xianyu110/awesome-claudcode-tutorial, 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
    Clarify 'Claude Code' in README H1 and description

    Why:

    CURRENT
    # Claude Code 从入门到精通
> 📚 最全面的 Claude Code 中文教程 - 从零基础到企业级应用
    COPY-PASTE FIX
    # Claude Code 从入门到精通：Anthropic AI 编程助手最全面的中文教程
> 📚 本教程专注于 Anthropic 的 Claude Code AI 编程助手，提供从零基础到企业级应用的中文学习路径。
  • hightopics#2
    Add specific topics for AI programming assistants and Anthropic Claude

    Why:

    CURRENT
    claudecode
    COPY-PASTE FIX
    claude-code, anthropic-ai, ai-programming-assistant, ai-code-generation, tutorial, chinese-language, enterprise-ai
  • mediumlicense#3
    Add a standard open-source license file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, or GPL-3.0) to clarify usage rights.

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 xianyu110/awesome-claudcode-tutorial
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
d2l-ai/d2l-zh
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. d2l-ai/d2l-zh · recommended 1×
  2. 吴恩达机器学习 · recommended 1×
  3. pytorch/pytorch · recommended 1×
  4. tensorflow/tensorflow · recommended 1×
  5. 李宏毅机器学习/深度学习课程 · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive Chinese tutorial for an AI programming assistant?
    you: not recommended
    AI recommended (in order):
    1. 动手学深度学习 (d2l-ai/d2l-zh)
    2. 吴恩达机器学习
    3. PyTorch (pytorch/pytorch)
    4. TensorFlow (tensorflow/tensorflow)
    5. 李宏毅机器学习/深度学习课程
    6. Datawhale开源学习社区
    7. 机器之心

    AI recommended 7 alternatives but never named xianyu110/awesome-claudcode-tutorial. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to integrate an AI coding assistant into enterprise-level development workflows?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Business
    2. Amazon CodeWhisperer
    3. Tabnine Enterprise
    4. JetBrains AI Assistant
    5. Cody by Sourcegraph
    6. Google Gemini Code Assist

    AI recommended 6 alternatives but never named xianyu110/awesome-claudcode-tutorial. 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 xianyu110/awesome-claudcode-tutorial?
    pass
    AI did not name xianyu110/awesome-claudcode-tutorial — 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 xianyu110/awesome-claudcode-tutorial in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xianyu110/awesome-claudcode-tutorial 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 xianyu110/awesome-claudcode-tutorial solve, and who is the primary audience?
    pass
    AI did not name xianyu110/awesome-claudcode-tutorial — 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

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xianyu110/awesome-claudcode-tutorial — 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
xianyu110/awesome-claudcode-tutorial — RepoGEO report