RRepoGEO

REPOGEO REPORT · LITE

LYiHub/mad-professor-public

Default branch main · commit d910872e · scanned 5/15/2026, 5:58:23 PM

GitHub: 1,589 stars · 203 forks

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 LYiHub/mad-professor-public, 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 improve categorization

    Why:

    COPY-PASTE FIX
    ai-assistant, paper-reading, academic-research, pdf-reader, llm-application, python-application, desktop-app, rag, voice-ai
  • highreadme#2
    Reposition the README's opening to clearly state it's an application for paper reading

    Why:

    CURRENT
    # 暴躁的教授读论文(mad-professor)
    一个Python应用程序,特色是具有暴躁个性的AI教授,让学术论文阅读更加高效有趣。
    
    ## 项目概述
    "暴躁教授读论文"是一个学术论文阅读伴侣应用程序,旨在通过富有个性的AI助手提高论文阅读效率。它集成了PDF处理、AI翻译、RAG检索、AI问答和语音交互等多种功能,为学术研究者提供一站式的论文阅读解决方案。
    COPY-PASTE FIX
    # 暴躁的教授读论文(mad-professor)
    一个面向学术研究者的Python桌面应用程序,特色是具有暴躁个性的AI教授,让学术论文阅读更加高效有趣。它是一个一站式的AI论文阅读伴侣,集成了PDF处理、AI翻译、RAG检索、AI问答和语音交互等多种功能,旨在提高论文阅读效率。
  • mediumhomepage#3
    Add a homepage URL if an external project page or demo exists

    Why:

    COPY-PASTE FIX
    [Insert URL to project website, demo, or detailed documentation here]

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 LYiHub/mad-professor-public
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elicit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Elicit · recommended 1×
  2. Semantic Scholar · recommended 1×
  3. ResearchRabbit · recommended 1×
  4. Scite.ai · recommended 1×
  5. Connected Papers · recommended 1×
  • CATEGORY QUERY
    What are good AI tools for researchers to efficiently read and understand academic papers?
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Semantic Scholar
    3. ResearchRabbit
    4. Scite.ai
    5. Connected Papers
    6. ChatGPT / GPT-4
    7. Humata AI

    AI recommended 7 alternatives but never named LYiHub/mad-professor-public. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python application to interactively analyze research PDFs with AI Q&A and voice.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. Haystack
    3. LangChain
    4. DocArray
    5. Jina AI
    6. PyMuPDF (fitz)
    7. spaCy
    8. Transformers (Hugging Face)
    9. SpeechRecognition
    10. gTTS (Google Text-to-Speech)
    11. pyttsx3
    12. PDFQuery
    13. NLTK
    14. OpenAI API
    15. Cohere
    16. Anthropic

    AI recommended 16 alternatives but never named LYiHub/mad-professor-public. 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 LYiHub/mad-professor-public?
    pass
    AI named LYiHub/mad-professor-public explicitly

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

  • If a team adopts LYiHub/mad-professor-public in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LYiHub/mad-professor-public 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 LYiHub/mad-professor-public solve, and who is the primary audience?
    pass
    AI did not name LYiHub/mad-professor-public — 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?

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  • Brand-free category queries5 vs 2 in Lite
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