RRepoGEO

REPOGEO REPORT · LITE

LiuHC0428/LAW-GPT

Default branch main · commit 6251dd36 · scanned 5/13/2026, 7:54:11 AM

GitHub: 1,193 stars · 127 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 LiuHC0428/LAW-GPT, 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 the repository

    Why:

    COPY-PASTE FIX
    chinese-legal-llm, legal-ai, chatglm, large-language-model, nlp, legal-tech, chinese-nlp, law-gpt, legal-qa, legal-advice
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that best suits your project's intent.
  • highreadme#3
    Add a concise, keyword-rich tagline to the README's introduction

    Why:

    COPY-PASTE FIX
    Add the following line directly after the `<h1>` tag in your README:
`> **LawGPT_zh is an open-source Chinese legal large language model (LLM) built on ChatGLM-6B, designed to provide reliable legal advice and Q&A with supporting legal citations.**`

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 LiuHC0428/LAW-GPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Lawyer LLaMA (律师LLaMA)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Lawyer LLaMA (律师LLaMA) · recommended 1×
  2. ChatLaw (智海) · recommended 1×
  3. HanFei (韩非) · recommended 1×
  4. Baichuan 2 (百川2) · recommended 1×
  5. Qwen (通义千问) · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source large language model for generating reliable Chinese legal advice.
    you: not recommended
    AI recommended (in order):
    1. Lawyer LLaMA (律师LLaMA)
    2. ChatLaw (智海)
    3. HanFei (韩非)
    4. Baichuan 2 (百川2)
    5. Qwen (通义千问)

    AI recommended 5 alternatives but never named LiuHC0428/LAW-GPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build a specialized AI chatbot for legal Q&A with supporting legal citations?
    you: not recommended
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 LiuHC0428/LAW-GPT?
    pass
    AI did not name LiuHC0428/LAW-GPT — 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 LiuHC0428/LAW-GPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LiuHC0428/LAW-GPT 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 LiuHC0428/LAW-GPT solve, and who is the primary audience?
    pass
    AI named LiuHC0428/LAW-GPT explicitly

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

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LiuHC0428/LAW-GPT — 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