RRepoGEO

REPOGEO REPORT · LITE

krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025

Default branch main · commit 5273fa13 · scanned 5/10/2026, 1:27:40 PM

GitHub: 5,022 stars · 1,870 forks

AI VISIBILITY SCORE
10 /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
0 / 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 krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025, 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 concise repository description

    Why:

    COPY-PASTE FIX
    A comprehensive, structured roadmap to learn Generative AI in 2025, covering prerequisites, core concepts, advanced NLP, and practical applications with LLMs.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    generative-ai, llm, large-language-models, ai-roadmap, learning-path, deep-learning, nlp, machine-learning, python
  • mediumreadme#3
    Add an introductory sentence to the README

    Why:

    COPY-PASTE FIX
    This repository provides a comprehensive, structured learning path for mastering Generative AI concepts and applications in 2025.

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 krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Python Crash Course
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Python Crash Course · recommended 1×
  2. Automate the Boring Stuff with Python · recommended 1×
  3. Codecademy Python 3 Course · recommended 1×
  4. 3Blue1Brown's "Essence of Linear Algebra" · recommended 1×
  5. Linear Algebra and Its Applications · recommended 1×
  • CATEGORY QUERY
    What's a good learning path for generative AI, including prerequisites and core concepts?
    you: not recommended
    AI recommended (in order):
    1. Python Crash Course
    2. Automate the Boring Stuff with Python
    3. Codecademy Python 3 Course
    4. 3Blue1Brown's "Essence of Linear Algebra"
    5. Linear Algebra and Its Applications
    6. Khan Academy Linear Algebra
    7. 3Blue1Brown's "Essence of Calculus"
    8. Khan Academy Multivariable Calculus
    9. Calculus: Early Transcendentals
    10. Practical Statistics for Data Scientists
    11. Khan Academy Statistics and Probability
    12. All of Statistics: A Concise Course in Statistical Inference
    13. Andrew Ng's Machine Learning Course (Coursera)
    14. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    15. Scikit-learn
    16. Deep Learning Specialization by Andrew Ng (Coursera)
    17. Deep Learning
    18. fast.ai's "Practical Deep Learning for Coders"
    19. PyTorch
    20. TensorFlow
    21. Keras API
    22. Generative Deep Learning
    23. PyTorch VAE Tutorial
    24. GANs in Action
    25. Hugging Face Transformers library
    26. Hugging Face Diffusers library
    27. DALL-E 2
    28. Stable Diffusion
    29. The Prompt Engineering Guide (dair-ai/Prompt-Engineering-Guide)
    30. OpenAI API
    31. DALL-E
    32. Midjourney
    33. Reinforcement Learning: An Introduction
    34. Hugging Face TRL (Transformer Reinforcement Learning) library
    35. Google (AI Ethics courses)
    36. IBM (AI Ethics courses)
    37. Artificial Intelligence: A Guide for Thinking Humans

    AI recommended 37 alternatives but never named krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a structured curriculum to master generative AI fundamentals for 2025?
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's Generative AI with Large Language Models Specialization
    2. Google Cloud's Generative AI Learning Path
    3. fast.ai's Practical Deep Learning for Coders
    4. Hugging Face's 🫂 Transformers Course
    5. MIT 6.S191: Introduction to Deep Learning
    6. Udemy: Generative AI: The Complete Guide
    7. edX: Microsoft's Professional Program in AI

    AI recommended 7 alternatives but never named krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025. 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 krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025?
    pass
    AI did not name krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 — 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 krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 — 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?

  • In one sentence, what problem does the repo krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 solve, and who is the primary audience?
    pass
    AI did not name krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 — 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?

Embed your GEO score

Drop this badge into the README of krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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  • Brand-free category queries5 vs 2 in Lite
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