RRepoGEO

REPOGEO REPORT · LITE

ashishps1/learn-ai-engineering

Default branch main · commit 3e7ccb4e · scanned 6/29/2026, 2:12:57 AM

GitHub: 5,758 stars · 1,408 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 ashishps1/learn-ai-engineering, 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 README opening to emphasize 'structured roadmap'

    Why:

    CURRENT
    # Learn AI Engineering

A comprehensive collection of free resources to learn everything about AI/ML, LLMs and Agents.
    COPY-PASTE FIX
    # The AI Engineering Learning Roadmap

A comprehensive, structured roadmap and curated collection of free resources to learn everything about AI/ML, LLMs and Agents.
  • mediumreadme#2
    Add a 'Why this roadmap?' section to README

    Why:

    COPY-PASTE FIX
    ## Why This Roadmap?

Many excellent platforms offer AI/ML courses, but navigating them to build a comprehensive understanding can be challenging. This repository provides a structured learning path, curating the best free resources from various platforms into a coherent roadmap for aspiring AI engineers.
  • mediumabout#3
    Add repository URL as homepage

    Why:

    COPY-PASTE FIX
    https://github.com/ashishps1/learn-ai-engineering

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 ashishps1/learn-ai-engineering
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera · recommended 2×
  2. fast.ai · recommended 1×
  3. Google Developers · recommended 1×
  4. edX · recommended 1×
  5. MIT OpenCourseWare · recommended 1×
  • CATEGORY QUERY
    What are some good free online resources to learn AI and machine learning fundamentals?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. fast.ai
    3. Google Developers
    4. edX
    5. MIT OpenCourseWare
    6. Kaggle Learn
    7. freeCodeCamp.org (freeCodeCamp/freeCodeCamp)

    AI recommended 7 alternatives but never named ashishps1/learn-ai-engineering. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for comprehensive free learning paths to master LLMs, generative AI, and agents.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Skills Boost
    2. DeepLearning.AI
    3. Coursera
    4. Hugging Face
    5. Transformers (huggingface/transformers)
    6. Microsoft Learn
    7. Azure AI services
    8. Azure OpenAI Service
    9. freeCodeCamp
    10. TensorFlow (tensorflow/tensorflow)
    11. PyTorch (pytorch/pytorch)
    12. LangChain (langchain-ai/langchain)

    AI recommended 12 alternatives but never named ashishps1/learn-ai-engineering. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 ashishps1/learn-ai-engineering?
    pass
    AI named ashishps1/learn-ai-engineering explicitly

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

  • If a team adopts ashishps1/learn-ai-engineering in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ashishps1/learn-ai-engineering 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 ashishps1/learn-ai-engineering solve, and who is the primary audience?
    pass
    AI did not name ashishps1/learn-ai-engineering — 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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ashishps1/learn-ai-engineering — 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