RRepoGEO

REPOGEO REPORT · LITE

ruc-datalab/DeepAnalyze

Default branch main · commit d7a6fb5f · scanned 5/24/2026, 1:38:04 AM

GitHub: 4,163 stars · 676 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 ruc-datalab/DeepAnalyze, 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 README's opening statement to clarify its core domain

    Why:

    CURRENT
    DeepAnalyze is the first agentic LLM for autonomous data science.
    COPY-PASTE FIX
    DeepAnalyze is the pioneering agentic LLM for **fully autonomous, end-to-end data science workflows**, automating tasks from data preparation and analysis to modeling, visualization, and report generation.
  • mediumreadme#2
    Add a clear differentiation section in the README

    Why:

    COPY-PASTE FIX
    ### Why DeepAnalyze?
Unlike general-purpose agent frameworks (e.g., LangChain, LlamaIndex) that provide building blocks, DeepAnalyze offers a complete, ready-to-use agent for data science. It also stands apart from commercial black-box solutions (e.g., ChatGPT Advanced Data Analysis, Microsoft Copilot) by being fully open-source and customizable for your specific data analysis needs.
  • lowtopics#3
    Add more specific topics related to workflow automation and AI agents

    Why:

    CURRENT
    agent, agentic, agentic-ai, ai, ai-scientist, chatbot, data, data-analysis, data-engineering, data-science, data-visualization, database, deep-research, jupyter, llm, open-source, python, python-programming, qwen, science
    COPY-PASTE FIX
    agent, agentic, agentic-ai, ai, ai-agent, ai-scientist, chatbot, data, data-analysis, data-automation, data-engineering, data-science, data-visualization, database, deep-research, jupyter, llm, open-source, python, python-programming, qwen, science, workflow-automation

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 ruc-datalab/DeepAnalyze
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Dataiku
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Dataiku · recommended 2×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. MindsDB · recommended 1×
  5. Auto-GPT · recommended 1×
  • CATEGORY QUERY
    How can I automate my entire data analysis workflow using an AI agent?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. MindsDB
    4. Auto-GPT
    5. BabyAGI
    6. Dataiku
    7. Alteryx

    AI recommended 7 alternatives but never named ruc-datalab/DeepAnalyze. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools use large language models for autonomous data analysis and report generation?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT Advanced Data Analysis
    2. Microsoft Copilot for Microsoft 365
    3. Google Gemini
    4. Tableau Pulse
    5. ThoughtSpot
    6. Dataiku

    AI recommended 6 alternatives but never named ruc-datalab/DeepAnalyze. 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 ruc-datalab/DeepAnalyze?
    pass
    AI named ruc-datalab/DeepAnalyze explicitly

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

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

    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
  • Prioritized action items8 vs 3 in Lite