RRepoGEO

REPOGEO REPORT · LITE

rohitg00/ai-engineering-from-scratch

Default branch main · commit 574a5d6d · scanned 6/17/2026, 2:18:30 PM

GitHub: 33,966 stars · 5,527 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 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 rohitg00/ai-engineering-from-scratch, 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 core curriculum description to the top of the README

    Why:

    CURRENT
    The README's initial content (after badges) focuses on 'From the creator of Agent Memory' and a large ASCII block before the curriculum description.
    COPY-PASTE FIX
    Move the paragraph starting with '> **84% of students already use AI tools...' and the subsequent paragraph 'This curriculum is the spine...' to be the very first substantial text after any necessary badges, before the 'From the creator of Agent Memory' section and the ASCII art.
  • mediumabout#2
    Clarify the repository description to explicitly state its nature as a curriculum

    Why:

    CURRENT
    Learn it. Build it. Ship it for others.
    COPY-PASTE FIX
    A comprehensive, hands-on curriculum for AI engineering, covering agents, LLMs, and machine learning from scratch.
  • lowtopics#3
    Add 'curriculum' to the repository topics

    Why:

    COPY-PASTE FIX
    agents, ai, ai-agents, ai-engineering, computer-vision, course, deep-learning, from-scratch, generative-ai, llm, machine-learning, mcp, nlp, python, reinforcement-learning, rust, swarm-intelligence, transformers, tutorial, typescript, curriculum

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 rohitg00/ai-engineering-from-scratch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Generative AI with Large Language Models Specialization on Coursera
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Generative AI with Large Language Models Specialization on Coursera · recommended 1×
  2. Microsoft's "Azure AI Engineer Associate" Learning Path · recommended 1×
  3. Udacity's "AI Engineer Nanodegree" · recommended 1×
  4. fast.ai's "Practical Deep Learning for Coders" · recommended 1×
  5. Stanford University's CS224N (Natural Language Processing with Deep Learning) · recommended 1×
  • CATEGORY QUERY
    What is a comprehensive course for learning AI engineering and building agents professionally?
    you: not recommended
    AI recommended (in order):
    1. Generative AI with Large Language Models Specialization on Coursera
    2. Microsoft's "Azure AI Engineer Associate" Learning Path
    3. Udacity's "AI Engineer Nanodegree"
    4. fast.ai's "Practical Deep Learning for Coders"
    5. Stanford University's CS224N (Natural Language Processing with Deep Learning)
    6. Stanford University's CS229 (Machine Learning)
    7. Full Stack Deep Learning Bootcamp

    AI recommended 7 alternatives but never named rohitg00/ai-engineering-from-scratch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find practical tutorials to build generative AI agents and LLM applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. DeepLearning.AI
    3. Hugging Face Transformers
    4. 🫂 Agents
    5. LlamaIndex
    6. AI Coffee Break with Letitia
    7. AssemblyAI
    8. freeCodeCamp.org
    9. Towards Data Science (Medium)
    10. Analytics Vidhya
    11. awesome-llm-apps
    12. awesome-agents

    AI recommended 12 alternatives but never named rohitg00/ai-engineering-from-scratch. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 rohitg00/ai-engineering-from-scratch?
    pass
    AI did not name rohitg00/ai-engineering-from-scratch — 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 rohitg00/ai-engineering-from-scratch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rohitg00/ai-engineering-from-scratch 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 rohitg00/ai-engineering-from-scratch solve, and who is the primary audience?
    pass
    AI did not name rohitg00/ai-engineering-from-scratch — 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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