RRepoGEO

REPOGEO REPORT · LITE

zhenbench/z-bench

Default branch main · commit 1f1195b4 · scanned 6/2/2026, 1:08:06 PM

GitHub: 504 stars · 42 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 zhenbench/z-bench, 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 the core definition of Z-Bench to the very start of the '简介' (Introduction) section.

    Why:

    CURRENT
    ## 简介
    
    自 ChatGPT 发布以来,我们经常会在使用它时发出惊叹:“啊,这个居然它也能答出来!”与此同时,我们也欣喜地看到,越来越多的大模型团队和产品如雨后春笋般出现。
    ...
    因此,我们几个 VC 麻瓜,作为对话式 AI 的重度用户,从自身需求出发,总结推出了「Z-Bench」—— 一个为非技术人员定性测试大模型对话式产品(类 ChatGPT 产品)准备的测试集。
    COPY-PASTE FIX
    ## 简介
    
    「Z-Bench」是一个专为非技术人员定性测试大模型对话式产品(类 ChatGPT 产品)准备的测试集。作为对话式 AI 的重度用户,我们从自身需求出发,总结推出了这个测试集。
    
    自 ChatGPT 发布以来,我们经常会在使用它时发出惊叹:“啊,这个居然它也能答出来!”与此同时,我们也欣喜地看到,越来越多的大模型团队和产品如雨后春笋般出现。
  • hightopics#2
    Add more specific topics to improve categorization as a prompt dataset for qualitative LLM evaluation.

    Why:

    CURRENT
    benchmark, chinese, language-model
    COPY-PASTE FIX
    benchmark, chinese, language-model, llm-prompts, prompt-dataset, qualitative-evaluation, conversational-ai, llm-evaluation
  • mediumabout#3
    Refine the repository description to explicitly include 'qualitative' for both Chinese and English parts.

    Why:

    CURRENT
    Z-Bench 1.0 by 真格基金:一个麻瓜的大语言模型中文测试集。Z-Bench is a LLM prompt dataset for non-technical users, developed by an enthusiastic AI-focused team in Zhenfund.
    COPY-PASTE FIX
    Z-Bench 1.0 by 真格基金:一个麻瓜的中文大语言模型定性测试集。Z-Bench is a qualitative LLM prompt dataset for non-technical users, developed by an enthusiastic AI-focused team in Zhenfund.

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 zhenbench/z-bench
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CLUE Benchmark
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CLUE Benchmark · recommended 2×
  2. C-Eval · recommended 1×
  3. CMMLU · recommended 1×
  4. GAOKAO-Bench · recommended 1×
  5. Amazon Mechanical Turk · recommended 1×
  • CATEGORY QUERY
    How to evaluate the performance of large language models for Chinese language tasks?
    you: not recommended
    AI recommended (in order):
    1. C-Eval
    2. CMMLU
    3. GAOKAO-Bench
    4. CLUE Benchmark
    5. Amazon Mechanical Turk
    6. Appen
    7. Lionbridge

    AI recommended 7 alternatives but never named zhenbench/z-bench. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a collection of prompts for qualitatively testing conversational AI models in Chinese.
    you: not recommended
    AI recommended (in order):
    1. CLUE Benchmark
    2. Baidu ERNIE-Bot's "Prompt Engineering Guide"
    3. Tsinghua University's GLM Resources
    4. Hugging Face Datasets
    5. ChatGPT/GPT-4

    AI recommended 5 alternatives but never named zhenbench/z-bench. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 zhenbench/z-bench?
    pass
    AI named zhenbench/z-bench explicitly

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

  • If a team adopts zhenbench/z-bench in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zhenbench/z-bench 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 zhenbench/z-bench solve, and who is the primary audience?
    pass
    AI named zhenbench/z-bench explicitly

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

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