RRepoGEO

REPOGEO REPORT · LITE

FudanDISC/DISC-LawLLM

Default branch main · commit f40d0234 · scanned 6/14/2026, 2:44:55 PM

GitHub: 929 stars · 93 forks

AI VISIBILITY SCORE
35 /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
3 / 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 FudanDISC/DISC-LawLLM, 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 opening to emphasize open-source Chinese legal LLM

    Why:

    CURRENT
    DISC-LawLLM 是一个旨在为用户提供专业、智能、全面的**法律服务**的法律领域大模型，由复旦大学数据智能与社会计算实验室 (Fudan-DISC) 开发并开源。
    COPY-PASTE FIX
    DISC-LawLLM is an **open-source Chinese legal large language model** developed by Fudan-DISC, designed to provide professional, intelligent, and comprehensive legal services.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/ShengbinYue/DISC-LawLLM
  • mediumtopics#3
    Add more specific topics for Chinese and open-source legal AI

    Why:

    CURRENT
    domain-llm, legal-intelligence, legal-llm, nlp
    COPY-PASTE FIX
    domain-llm, legal-intelligence, legal-llm, nlp, chinese-llm, open-source-llm, legal-ai-system, chinese-legal-ai

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 FudanDISC/DISC-LawLLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 1×
  2. Mistral Large · recommended 1×
  3. Mixtral 8x7B Instruct · recommended 1×
  4. Gemma · recommended 1×
  5. Falcon · recommended 1×
  • CATEGORY QUERY
    What open-source large language models are suitable for building intelligent legal applications?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral Large
    3. Mixtral 8x7B Instruct
    4. Gemma
    5. Falcon
    6. LLaMA 2
    7. Code Llama
    8. OpenHermes 2.5 Mistral 7B

    AI recommended 8 alternatives but never named FudanDISC/DISC-LawLLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a robust domain-specific LLM for advanced legal reasoning and verifiable information retrieval.
    you: not recommended
    AI recommended (in order):
    1. Thomson Reuters CoCounsel
    2. LexisNexis AI
    3. Harvey AI
    4. OpenAI GPT-4
    5. Anthropic Claude 3 Opus
    6. Google Gemini 1.5 Pro

    AI recommended 6 alternatives but never named FudanDISC/DISC-LawLLM. 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 FudanDISC/DISC-LawLLM?
    pass
    AI named FudanDISC/DISC-LawLLM explicitly

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

  • If a team adopts FudanDISC/DISC-LawLLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FudanDISC/DISC-LawLLM 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 FudanDISC/DISC-LawLLM solve, and who is the primary audience?
    pass
    AI named FudanDISC/DISC-LawLLM 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 FudanDISC/DISC-LawLLM. 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)
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FudanDISC/DISC-LawLLM — 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