RRepoGEO

REPOGEO REPORT · LITE

krishnaik06/Complete-RoadMap-To-Learn-AI

Default branch main · commit a273dbc5 · scanned 5/13/2026, 3:12:52 AM

GitHub: 1,383 stars · 409 forks

AI VISIBILITY SCORE
17 /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
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 krishnaik06/Complete-RoadMap-To-Learn-AI, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise description to the About section

    Why:

    COPY-PASTE FIX
    A comprehensive, structured learning roadmap for 2025, offering three distinct paths to AI mastery: Data Science, Generative AI, and Agentic AI.
  • mediumreadme#2
    Add a 'Why Choose This Roadmap?' section to the README

    Why:

    COPY-PASTE FIX
    ## ✨ Why Choose This Roadmap?
    
    This roadmap stands out due to its unique blend of comprehensive coverage and practical, job-oriented focus, personally curated by Krishna Naik. Unlike generic guides, it offers:
    
    - **Three Distinct Paths:** Tailored learning journeys for Data Science, Generative AI, and Agentic AI.
    - **Up-to-Date for 2025:** Ensures you're learning the most relevant and in-demand skills.
    - **Structured & Actionable:** Clear milestones and resources to guide your progress towards specific career outcomes.

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/Complete-RoadMap-To-Learn-AI
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Deep Learning Specialization by Andrew Ng
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Deep Learning Specialization by Andrew Ng · recommended 2×
  2. roadmap.sh · recommended 1×
  3. Google's Machine Learning Crash Course · recommended 1×
  4. fast.ai · recommended 1×
  5. Coursera Specializations · recommended 1×
  • CATEGORY QUERY
    Where can I find a structured learning roadmap for various AI specializations?
    you: not recommended
    AI recommended (in order):
    1. roadmap.sh
    2. Google's Machine Learning Crash Course
    3. fast.ai
    4. Coursera Specializations
    5. Deep Learning Specialization by Andrew Ng
    6. AI for Medicine Specialization
    7. Udemy
    8. Artificial Intelligence A-Z™: Learn How To Build An AI
    9. Machine Learning A-Z™
    10. Complete Python Bootcamp for Data Science
    11. Towards Data Science

    AI recommended 11 alternatives but never named krishnaik06/Complete-RoadMap-To-Learn-AI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best learning paths to become a generative AI or agentic AI developer?
    you: not recommended
    AI recommended (in order):
    1. Deep Learning Specialization by Andrew Ng
    2. fast.ai's Practical Deep Learning for Coders
    3. Stanford CS224N: Natural Language Processing with Deep Learning
    4. Hugging Face Transformers Library
    5. OpenAI API Documentation & Cookbooks
    6. PyTorch Lightning
    7. Keras
    8. LangChain
    9. LlamaIndex
    10. AutoGen
    11. CrewAI
    12. AWS SageMaker
    13. Google Cloud Vertex AI
    14. Azure Machine Learning
    15. MLflow
    16. Docker
    17. Kubernetes

    AI recommended 17 alternatives but never named krishnaik06/Complete-RoadMap-To-Learn-AI. 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/Complete-RoadMap-To-Learn-AI?
    pass
    AI named krishnaik06/Complete-RoadMap-To-Learn-AI explicitly

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

  • If a team adopts krishnaik06/Complete-RoadMap-To-Learn-AI in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name krishnaik06/Complete-RoadMap-To-Learn-AI — 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/Complete-RoadMap-To-Learn-AI solve, and who is the primary audience?
    pass
    AI did not name krishnaik06/Complete-RoadMap-To-Learn-AI — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite