RRepoGEO

REPOGEO REPORT · LITE

business-science/free-ai-tips

Default branch master · commit f248f0d8 · scanned 6/14/2026, 1:37:53 AM

GitHub: 641 stars · 103 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 business-science/free-ai-tips, 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 H1 to clarify its purpose as a newsletter companion

    Why:

    CURRENT
    # Free GenAI/ML Tips GitHub Repository
    COPY-PASTE FIX
    # Free AI-Tips: Companion Repository for Business Science's Weekly AI Newsletter
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the MIT License text. This provides clear terms for how the tips and content can be used.
  • lowreadme#3
    Expand the README with a clear description of the content and its value

    Why:

    CURRENT
    # Free GenAI/ML Tips GitHub Repository

Your source for amazing Generative AI/ML-Tips. 👉 **Register Here For Free GenAI/ML Tips Each Week**
    COPY-PASTE FIX
    Add a paragraph after the H1 that explains: 'This repository serves as a companion to the Free AI-Tips weekly newsletter from Business Science. Each week, we provide bite-sized Python AI and Machine Learning tutorials, practical tips, and prompts specifically tailored for business applications. These resources are designed to help business professionals and data scientists effectively leverage AI tools and techniques without requiring extensive coding knowledge, focusing on practical application over deep technical theory.'

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/free-ai-tips
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Towards Data Science
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Towards Data Science · recommended 1×
  2. DataCamp Blog · recommended 1×
  3. Analytics Vidhya · recommended 1×
  4. Kaggle Learn · recommended 1×
  5. freeCodeCamp.org · recommended 1×
  • CATEGORY QUERY
    Where can I find free weekly Python tutorials for business AI and machine learning?
    you: not recommended
    AI recommended (in order):
    1. Towards Data Science
    2. DataCamp Blog
    3. Analytics Vidhya
    4. Kaggle Learn
    5. freeCodeCamp.org
    6. PyData

    AI recommended 6 alternatives but never named business-science/free-ai-tips. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for learning practical generative AI and LLM techniques with Python?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library (huggingface/transformers)
    2. Hugging Face Course
    3. Hugging Face `transformers` Library Documentation
    4. Hugging Face Hub
    5. LangChain (langchain-ai/langchain)
    6. LangChain Documentation
    7. LangChain YouTube Channel
    8. OpenAI API Documentation
    9. OpenAI Cookbooks (openai/openai-cookbook)
    10. Generative AI with Large Language Models (Coursera)
    11. LangChain for LLM Application Development (Coursera)
    12. Prompt Engineering for Developers (Coursera)
    13. PyTorch (pytorch/pytorch)
    14. PyTorch Documentation & Tutorials
    15. TensorFlow (tensorflow/tensorflow)
    16. Keras (keras-team/keras)
    17. FastAI (fastai/fastai)
    18. Fastbook (fastai/fastbook)
    19. Kaggle

    AI recommended 19 alternatives but never named business-science/free-ai-tips. 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/free-ai-tips?
    pass
    AI did not name business-science/free-ai-tips — 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/free-ai-tips in production, what risks or prerequisites should they evaluate first?
    pass
    AI named business-science/free-ai-tips 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/free-ai-tips solve, and who is the primary audience?
    pass
    AI named business-science/free-ai-tips explicitly

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

Embed your GEO score

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MARKDOWN (README)
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