RRepoGEO

REPOGEO REPORT · LITE

lvwzhen/law-cn-ai

Default branch main · commit c7d65bd9 · scanned 5/11/2026, 9:38:22 AM

GitHub: 4,912 stars · 656 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 lvwzhen/law-cn-ai, 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 and opening sentence

    Why:

    CURRENT
    # AI 法律助手

法律文件来源：https://github.com/LawRefBook/Laws

项目模板：https://github.com/supabase-community/nextjs-openai-doc-search

这个项目从 `pages` 目录中获取所有的 `.mdx` 文件，并将其处理成自定义上下文，以在OpenAI 文本自动补全提示中使用。
    COPY-PASTE FIX
    # AI 法律助手 (Chinese Legal AI Assistant Template)

这是一个开源项目模板，旨在帮助开发者快速构建一个专门针对中国法律文件进行问答的 AI 法律助手。它利用 Next.js, OpenAI 和 Supabase，将 `pages` 目录中的 `.mdx` 法律文件处理为自定义上下文，以驱动智能问答。
  • highlicense#2
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root.
  • mediumtopics#3
    Expand repository topics

    Why:

    CURRENT
    chatgpt, law, openai
    COPY-PASTE FIX
    chatgpt, law, openai, chinese-law, legal-ai, ai-chatbot-template, nextjs-template

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 lvwzhen/law-cn-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. LegalBERT · recommended 1×
  3. RoBERTa · recommended 1×
  4. GPT-3 · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    Looking for tools to develop an AI assistant specializing in legal document interpretation.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. LegalBERT
    3. RoBERTa
    4. GPT-3
    5. GPT-4
    6. OpenAI's GPT-3.5 Turbo
    7. OpenAI's GPT-4 API
    8. spaCy
    9. OpenAI API
    10. NLTK
    11. Amazon Comprehend Medical
    12. Amazon Comprehend
    13. Google Cloud Natural Language API
    14. DocuSign Insight

    AI recommended 14 alternatives but never named lvwzhen/law-cn-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to create a custom AI chatbot that can answer questions from specific legal texts?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI GPT-4
    3. Anthropic Claude 3
    4. LlamaIndex
    5. Haystack
    6. Gradio
    7. Streamlit
    8. Pinecone
    9. Weaviate
    10. Faiss
    11. Hugging Face Transformers
    12. all-MiniLM-L6-v2
    13. bge-large-en-v1.5
    14. text-embedding-ada-002
    15. text-embedding-3-large

    AI recommended 15 alternatives but never named lvwzhen/law-cn-ai. 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 lvwzhen/law-cn-ai?
    pass
    AI did not name lvwzhen/law-cn-ai — 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 lvwzhen/law-cn-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lvwzhen/law-cn-ai 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 lvwzhen/law-cn-ai solve, and who is the primary audience?
    pass
    AI did not name lvwzhen/law-cn-ai — 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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