RRepoGEO

REPOGEO REPORT · LITE

zhihaiLLM/wisdomInterrogatory

Default branch main · commit 3b21371b · scanned 6/5/2026, 6:47:53 AM

GitHub: 545 stars · 43 forks

AI VISIBILITY SCORE
17 /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
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 zhihaiLLM/wisdomInterrogatory, 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 add a concise English summary

    Why:

    CURRENT
    # 智海-录问
    
    ## 项目概要
    - 智海-录问(wisdomInterrogatory)是由浙江大学、阿里巴巴达摩院以及华院计算三家单位共同设计研发的法律大模型。核心思想:以“普法共享和司法效能提升”为目标...
    COPY-PASTE FIX
    # 智海-录问 (wisdomInterrogatory): An Open-Source Legal Large Language Model
    
    wisdomInterrogatory is an open-source legal large language model (LLM) developed by Zhejiang University, Alibaba DAMO Academy, and Huayuan Computing. It specializes in legal document analysis, intelligent consultation, and judicial case prediction, aiming to enhance legal intelligence and judicial efficiency.
    
    ## 项目概要
    - 智海-录问(wisdomInterrogatory)是由浙江大学、阿里巴巴达摩院以及华院计算三家单位共同设计研发的法律大模型。核心思想:以“普法共享和司法效能提升”为目标...
  • highabout#2
    Add a concise description to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    An open-source legal large language model (LLM) for legal document analysis, intelligent consultation, and judicial case prediction, developed by Zhejiang University, Alibaba DAMO Academy, and Huayuan Computing.
  • hightopics#3
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, large-language-model, legal-llm, legal-ai, nlp, law, judicial, question-answering, chinese-llm, baichuan

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 zhihaiLLM/wisdomInterrogatory
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Legal LLaMA
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Legal LLaMA · recommended 1×
  2. BLOOM · recommended 1×
  3. Falcon · recommended 1×
  4. Mistral 7B / Mixtral 8x7B · recommended 1×
  5. Guanaco · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source large language model for legal document analysis and intelligent consultation.
    you: not recommended
    AI recommended (in order):
    1. Legal LLaMA
    2. BLOOM
    3. Falcon
    4. Mistral 7B / Mixtral 8x7B
    5. Guanaco

    AI recommended 5 alternatives but never named zhihaiLLM/wisdomInterrogatory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which AI models specialize in legal question answering and judicial case prediction?
    you: not recommended
    AI recommended (in order):
    1. ROSS Intelligence
    2. LexisNexis Context
    3. CaseText CARA AI
    4. Premonition Analytics
    5. Blue J Legal
    6. LegalMation

    AI recommended 6 alternatives but never named zhihaiLLM/wisdomInterrogatory. This is the gap to close.

    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 zhihaiLLM/wisdomInterrogatory?
    pass
    AI did not name zhihaiLLM/wisdomInterrogatory — 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 zhihaiLLM/wisdomInterrogatory in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zhihaiLLM/wisdomInterrogatory 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 zhihaiLLM/wisdomInterrogatory solve, and who is the primary audience?
    pass
    AI did not name zhihaiLLM/wisdomInterrogatory — 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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MARKDOWN (README)
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zhihaiLLM/wisdomInterrogatory — 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