RRepoGEO

REPOGEO REPORT · LITE

K-Dense-AI/agentic-data-scientist

Default branch main · commit 3fa4e68a · scanned 6/14/2026, 2:41:57 AM

GitHub: 649 stars · 99 forks

AI VISIBILITY SCORE
33 /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
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 K-Dense-AI/agentic-data-scientist, 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 to clarify its role as an AI data scientist

    Why:

    CURRENT
    An Adaptive Multi-Agent Framework for Data Science
    COPY-PASTE FIX
    Agentic Data Scientist is an open-source AI agent that autonomously performs end-to-end data science tasks, from data ingestion and cleaning to model training and analysis, using an adaptive multi-agent workflow.
  • mediumabout#2
    Refine the repository description for clarity and specificity

    Why:

    CURRENT
    An end-to-end Data Scientist
    COPY-PASTE FIX
    An autonomous AI agent that performs end-to-end data science tasks, from data analysis to model building, using an adaptive multi-agent framework.
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    agentic-ai, data-science, machine-learning
    COPY-PASTE FIX
    agentic-ai, data-science, machine-learning, autonomous-agents, llm-agents, data-analysis, ml-workflow-automation, ai-agent

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 K-Dense-AI/agentic-data-scientist
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Haystack
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Haystack · recommended 1×
  2. LangChain · recommended 1×
  3. Mesa · recommended 1×
  4. SPADE · recommended 1×
  5. Ray · recommended 1×
  • CATEGORY QUERY
    How can I automate complex data science workflows using an adaptive multi-agent framework?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LangChain
    3. Mesa
    4. SPADE
    5. Ray
    6. OpenAI Assistants API
    7. Auto-GPT
    8. BabyAGI

    AI recommended 8 alternatives but never named K-Dense-AI/agentic-data-scientist. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best agentic AI tools for end-to-end machine learning project execution?
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. Google Cloud Vertex AI
    3. Amazon SageMaker
    4. Azure Machine Learning
    5. Weights & Biases
    6. MLflow
    7. Apache Airflow
    8. Kubeflow Pipelines

    AI recommended 8 alternatives but never named K-Dense-AI/agentic-data-scientist. 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 K-Dense-AI/agentic-data-scientist?
    pass
    AI named K-Dense-AI/agentic-data-scientist explicitly

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

  • If a team adopts K-Dense-AI/agentic-data-scientist in production, what risks or prerequisites should they evaluate first?
    pass
    AI named K-Dense-AI/agentic-data-scientist 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 K-Dense-AI/agentic-data-scientist solve, and who is the primary audience?
    pass
    AI did not name K-Dense-AI/agentic-data-scientist — 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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