RRepoGEO

REPOGEO REPORT · LITE

krishnaik06/Roadmap-To-Learn-Agentic-AI

Default branch main · commit be242422 · scanned 6/6/2026, 5:08:18 AM

GitHub: 989 stars · 303 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/Roadmap-To-Learn-Agentic-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

3 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 repository's About section

    Why:

    COPY-PASTE FIX
    A comprehensive learning roadmap and curated resource guide for mastering Agentic AI systems, from prerequisites to advanced frameworks.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    agentic-ai, ai-agents, machine-learning, deep-learning, nlp, roadmap, learning-path, generative-ai, langchain, autogen
  • mediumreadme#3
    Add an explicit introductory sentence to the README

    Why:

    CURRENT
    # Roadmap to Build Agentic AI Systems
    COPY-PASTE FIX
    # Roadmap to Build Agentic AI Systems

This repository provides a structured and comprehensive learning roadmap designed to guide aspiring developers and researchers through the essential concepts and practical skills needed to build robust Agentic AI systems.

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-Agentic-AI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. TensorFlow · recommended 2×
  3. scikit-learn · recommended 2×
  4. Stable Baselines3 · recommended 2×
  5. Gymnasium · recommended 2×
  • CATEGORY QUERY
    What's a good learning path for developing autonomous AI agents from scratch?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras API
    4. scikit-learn
    5. Stable Baselines3
    6. Ray RLlib
    7. Gymnasium
    8. LangChain
    9. LlamaIndex
    10. BabyAGI
    11. AutoGPT
    12. Unity ML-Agents
    13. MuJoCo

    AI recommended 13 alternatives but never named krishnaik06/Roadmap-To-Learn-Agentic-AI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I get started building intelligent AI systems that can reason and act?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Gymnasium
    3. Stable Baselines3
    4. CleanRL
    5. PyTorch
    6. TensorFlow
    7. Keras
    8. Pylog
    9. PyDatalog
    10. Pyke
    11. GPy
    12. scikit-learn
    13. NLTK
    14. spaCy

    AI recommended 14 alternatives but never named krishnaik06/Roadmap-To-Learn-Agentic-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/Roadmap-To-Learn-Agentic-AI?
    pass
    AI did not name krishnaik06/Roadmap-To-Learn-Agentic-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?

  • If a team adopts krishnaik06/Roadmap-To-Learn-Agentic-AI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named krishnaik06/Roadmap-To-Learn-Agentic-AI 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 krishnaik06/Roadmap-To-Learn-Agentic-AI solve, and who is the primary audience?
    pass
    AI did not name krishnaik06/Roadmap-To-Learn-Agentic-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?

Embed your GEO score

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krishnaik06/Roadmap-To-Learn-Agentic-AI — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite