RRepoGEO

REPOGEO REPORT · LITE

DataExpert-io/ai-engineer-handbook

Default branch main · commit 6d86c39d · scanned 6/26/2026, 5:53:18 AM

GitHub: 1,160 stars · 187 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)

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

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 DataExpert-io/ai-engineer-handbook, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-engineering, machine-learning, llm, prompt-engineering, mlops, resources, handbook, learning-path, career-guide
  • highreadme#2
    Clarify README's opening to position as a curated handbook

    Why:

    CURRENT
    # The AI Engineering Handbook

This repo has all the resources you need to become an amazing AI engineer!
    COPY-PASTE FIX
    # The AI Engineering Handbook: Your Curated Resource Collection for AI Engineering

This comprehensive handbook provides a curated collection of links, books, and creators essential for current and aspiring AI engineers to master the field and stay up-to-date. It's a living guide, not a course, designed to be your go-to reference.
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the root of the repository to clearly state the terms of use for the content.

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 DataExpert-io/ai-engineer-handbook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera · recommended 1×
  2. Deep Learning Specialization · recommended 1×
  3. deeplearning.ai · recommended 1×
  4. Machine Learning Engineering for Production (MLOps) Specialization · recommended 1×
  5. Google Cloud Professional Machine Learning Engineer Professional Certificate · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources to kickstart my AI engineering career?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. Deep Learning Specialization
    3. deeplearning.ai
    4. Machine Learning Engineering for Production (MLOps) Specialization
    5. Google Cloud Professional Machine Learning Engineer Professional Certificate
    6. fast.ai
    7. Practical Deep Learning for Coders
    8. PyTorch
    9. Deep Learning from the Foundations
    10. Udemy
    11. Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus
    12. Python for Data Science and Machine Learning Bootcamp
    13. edX
    14. Professional Certificate in Data Science
    15. Harvard University
    16. Applied AI with DeepLearning
    17. IBM
    18. Kaggle Learn
    19. O'Reilly Media
    20. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    21. Scikit-Learn
    22. Keras
    23. TensorFlow
    24. Designing Machine Learning Systems
    25. freeCodeCamp.org
    26. Krish Naik
    27. StatQuest with Josh Starmer

    AI recommended 27 alternatives but never named DataExpert-io/ai-engineer-handbook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I stay current with the latest advancements and trends in AI engineering?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Papers With Code
    3. Hugging Face Blog
    4. transformers library (huggingface/transformers)
    5. Google AI Blog
    6. Meta AI Blog
    7. The Batch by Andrew Ng
    8. Kaggle
    9. Twitter (now X)
    10. LinkedIn

    AI recommended 10 alternatives but never named DataExpert-io/ai-engineer-handbook. 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 DataExpert-io/ai-engineer-handbook?
    pass
    AI did not name DataExpert-io/ai-engineer-handbook — 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 DataExpert-io/ai-engineer-handbook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DataExpert-io/ai-engineer-handbook 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 DataExpert-io/ai-engineer-handbook solve, and who is the primary audience?
    pass
    AI did not name DataExpert-io/ai-engineer-handbook — 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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DataExpert-io/ai-engineer-handbook — 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