RRepoGEO

REPOGEO REPORT · LITE

Srilochan7/AI-Sheet

Default branch main · commit 98a385e7 · scanned 5/31/2026, 8:03:26 PM

GitHub: 562 stars · 58 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Srilochan7/AI-Sheet, 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
    Add a clear 'About' description to correct AI miscategorization

    Why:

    COPY-PASTE FIX
    A comprehensive cheatsheet and practical roadmap for learning Generative AI and Agentic AI, covering essential concepts, frameworks, and resources.
  • hightopics#2
    Add relevant topics to improve categorization and searchability

    Why:

    COPY-PASTE FIX
    generative-ai, agentic-ai, machine-learning, deep-learning, llms, roadmap, cheatsheet, learning-path, ai-resources, python
  • mediumreadme#3
    Add a clear license statement to the README

    Why:

    COPY-PASTE FIX
    Add a new section to your README, for example: "## License This project is currently unlicensed. Please choose an open-source license (e.g., MIT, Apache 2.0) and add a `LICENSE` file to the repository root to clarify usage rights."

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 Srilochan7/AI-Sheet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Keras
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Keras · recommended 2×
  2. TensorFlow · recommended 2×
  3. OpenAI API · recommended 2×
  4. Andrew Ng's Machine Learning Specialization · recommended 1×
  5. Deep Learning Specialization by Andrew Ng · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive roadmap to learn Generative AI and Agentic AI?
    you: not recommended
    AI recommended (in order):
    1. Andrew Ng's Machine Learning Specialization
    2. Deep Learning Specialization by Andrew Ng
    3. Deep Learning with Python
    4. Keras
    5. TensorFlow
    6. Generative Deep Learning
    7. Hugging Face Transformers Library
    8. Hugging Face Course
    9. OpenAI API
    10. GPT-3.5
    11. GPT-4
    12. The Illustrated Transformer
    13. LangChain
    14. LlamaIndex
    15. Auto-GPT
    16. BabyAGI
    17. Designing Data-Intensive Applications
    18. Stable Diffusion
    19. DALL-E 2
    20. Hugging Face Diffusers Library
    21. arXiv
    22. Denoising Diffusion Probabilistic Models
    23. Reinforcement Learning: An Introduction
    24. spinningup.openai.com
    25. OpenAI
    26. Google AI
    27. Meta AI
    28. Hugging Face
    29. Twitter/X
    30. Discord
    31. Reddit
    32. r/MachineLearning
    33. r/deeplearning

    AI recommended 33 alternatives but never named Srilochan7/AI-Sheet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the essential resources and cheatsheets for machine learning and AI development?
    you: not recommended
    AI recommended (in order):
    1. NumPy
    2. DataCamp
    3. SciPy
    4. Pandas
    5. Matplotlib
    6. Scikit-learn
    7. Keras
    8. PyTorch
    9. TensorFlow
    10. Google's Machine Learning Crash Course
    11. Stanford CS231n
    12. Andrew Ng's Deep Learning Specialization
    13. Coursera
    14. Towards Data Science
    15. RegExr.com
    16. RexEgg.com
    17. Prompt Engineering Guide
    18. OpenAI API

    AI recommended 18 alternatives but never named Srilochan7/AI-Sheet. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 Srilochan7/AI-Sheet?
    pass
    AI named Srilochan7/AI-Sheet explicitly

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

  • If a team adopts Srilochan7/AI-Sheet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Srilochan7/AI-Sheet 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 Srilochan7/AI-Sheet solve, and who is the primary audience?
    pass
    AI named Srilochan7/AI-Sheet 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