RRepoGEO

REPOGEO REPORT · LITE

PKU-YuanGroup/ChatLaw

Default branch main · commit aec7952a · scanned 6/29/2026, 7:47:47 AM

GitHub: 7,540 stars · 618 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 PKU-YuanGroup/ChatLaw, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a concise, direct positioning statement at the top of the README

    Why:

    CURRENT
    The first actual prose sentence in the README excerpt is 'AI legal assistants, powered by Large Language Models (LLMs), offer accessible legal consulting.' (from the 'Introduction' section).
    COPY-PASTE FIX
    Insert this sentence immediately after the H1 and any badges/links:
    
    "PKU-YuanGroup/ChatLaw is a powerful large language model (LLM) specifically tailored for the Chinese legal domain, offering multi-agent legal assistance enhanced by knowledge graphs and a Mixture-of-Experts architecture."
  • mediumreadme#2
    Add a 'Differentiators' or 'Why Choose Us?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, for example, '## Why Choose PKU-YuanGroup/ChatLaw?' with points like:
    
    - **Specialized for Chinese Legal Domain:** Unlike general LLMs, ChatLaw is meticulously fine-tuned on extensive Chinese legal datasets.
    - **Multi-Agent Architecture:** Leverages a multi-agent system for enhanced reasoning and task execution in legal scenarios.
    - **Knowledge Graph Integration:** Incorporates a knowledge graph to reduce hallucinations and improve factual accuracy in legal advice.
    - **Mixture-of-Experts (MoE) Design:** Our ChatLaw2-MoE model utilizes a 4x7B MoE architecture for superior performance in Chinese legal language processing.
    - **Text2Vec for Contextual Relevance:** Includes a specialized text similarity model trained on 93,000 court cases to match queries to pertinent legal statutes.

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 PKU-YuanGroup/ChatLaw
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 2×
  2. LawGPT (法律GPT) · recommended 1×
  3. ChatLaw (智拾法律大模型) · recommended 1×
  4. Legal-BELLE (法律版BELLE) · recommended 1×
  5. GLM-130B · recommended 1×
  • CATEGORY QUERY
    What are the best large language models for specialized Chinese legal document analysis?
    you: not recommended
    AI recommended (in order):
    1. LawGPT (法律GPT)
    2. ChatLaw (智拾法律大模型)
    3. Legal-BELLE (法律版BELLE)
    4. GLM-130B
    5. ERNIE-Bot
    6. GPT-3.5
    7. GPT-4

    AI recommended 7 alternatives but never named PKU-YuanGroup/ChatLaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI assistant to interpret complex Chinese legal texts and provide expert reasoning.
    you: not recommended
    AI recommended (in order):
    1. LawBot
    2. Westlaw China
    3. LexisNexis China
    4. DeepMind's AlphaLaw
    5. GPT-4
    6. Baidu ERNIE Bot

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

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

Embed your GEO score

Drop this badge into the README of PKU-YuanGroup/ChatLaw. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/PKU-YuanGroup/ChatLaw.svg)](https://repogeo.com/en/r/PKU-YuanGroup/ChatLaw)
HTML
<a href="https://repogeo.com/en/r/PKU-YuanGroup/ChatLaw"><img src="https://repogeo.com/badge/PKU-YuanGroup/ChatLaw.svg" alt="RepoGEO" /></a>
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PKU-YuanGroup/ChatLaw — 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