RRepoGEO

REPOGEO REPORT · LITE

business-science/awesome-generative-ai-data-scientist

Default branch main · commit 673d5ed2 · scanned 5/14/2026, 7:41:44 PM

GitHub: 1,551 stars · 258 forks

AI VISIBILITY SCORE
22 /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
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 business-science/awesome-generative-ai-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
  • highabout#1
    Refine the repository description to emphasize its role as a comprehensive learning roadmap

    Why:

    CURRENT
    A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs
    COPY-PASTE FIX
    A comprehensive, curated awesome list of 100+ resources, tools, and guides to become a Generative AI Data Scientist, focusing on building and deploying LLM applications.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage rights.
  • mediumhomepage#3
    Add a relevant homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a URL to the repository's homepage field in GitHub settings, linking to a relevant project website, organization page, or a dedicated landing page for this awesome list.

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 business-science/awesome-generative-ai-data-scientist
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera's Deep Learning Specialization by Andrew Ng
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera's Deep Learning Specialization by Andrew Ng · recommended 1×
  2. Generative Adversarial Networks (GANs) Specialization on Coursera · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. fast.ai's "Practical Deep Learning for Coders" Course · recommended 1×
  5. "Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play" by David Foster · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources to become a generative AI data scientist?
    you: not recommended
    AI recommended (in order):
    1. Coursera's Deep Learning Specialization by Andrew Ng
    2. Generative Adversarial Networks (GANs) Specialization on Coursera
    3. Hugging Face Transformers Library (huggingface/transformers)
    4. fast.ai's "Practical Deep Learning for Coders" Course
    5. "Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play" by David Foster
    6. PyTorch (pytorch/pytorch)
    7. arXiv.org

    AI recommended 7 alternatives but never named business-science/awesome-generative-ai-data-scientist. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools and guides help data scientists build and deploy LLM applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. Accelerate
    5. OpenAI API
    6. Azure OpenAI Service
    7. Weights & Biases (W&B)
    8. MLflow
    9. Gradio
    10. Streamlit

    AI recommended 10 alternatives but never named business-science/awesome-generative-ai-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
    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 business-science/awesome-generative-ai-data-scientist?
    pass
    AI did not name business-science/awesome-generative-ai-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?

  • If a team adopts business-science/awesome-generative-ai-data-scientist in production, what risks or prerequisites should they evaluate first?
    pass
    AI named business-science/awesome-generative-ai-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 business-science/awesome-generative-ai-data-scientist solve, and who is the primary audience?
    pass
    AI did not name business-science/awesome-generative-ai-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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