RRepoGEO

REPOGEO REPORT · LITE

ConardLi/easy-learn-ai

Default branch main · commit 18d79f8d · scanned 7/1/2026, 12:58:01 AM

GitHub: 1,306 stars · 196 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 ConardLi/easy-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

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

OVERALL DIRECTION
  • hightopics#1
    Add comprehensive topics for AI learning resources

    Why:

    COPY-PASTE FIX
    ai-learning, machine-learning, deep-learning, prompt-engineering, ai-concepts, ai-tutorials, ai-models, ai-news, education, beginners, knowledge-base, generative-ai
  • mediumlicense#2
    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 in the repository root. For educational content like this, consider a Creative Commons license (e.g., CC BY-NC-SA 4.0) or a standard open-source license like MIT or Apache-2.0.
  • lowreadme#3
    Emphasize "beginner-friendly" in the README's main title

    Why:

    CURRENT
    <div align="center"><h1>Easy AI</h1><p><strong>让 AI 学习变得真的简单。</strong> 一个面向 AI 学习者、开发者和创作者的知识网站。</p></div>
    COPY-PASTE FIX
    <div align="center"><h1>Easy AI: Beginner-Friendly AI Learning Resources</h1><p><strong>让 AI 学习变得真的简单。</strong> 一个面向 AI 学习者、开发者和创作者的知识网站，专注于提供易于理解的 AI 概念、模型、教程和行业动态。</p></div>

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 ConardLi/easy-learn-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. AI For Everyone · recommended 1×
  3. Learn with Google AI · recommended 1×
  4. Machine Learning Crash Course · recommended 1×
  5. CS50's Introduction to Artificial Intelligence with Python · recommended 1×
  • CATEGORY QUERY
    Where can I find beginner-friendly resources to learn fundamental AI concepts and models?
    you: not recommended
    AI recommended (in order):
    1. AI For Everyone
    2. Learn with Google AI
    3. Machine Learning Crash Course
    4. TensorFlow
    5. CS50's Introduction to Artificial Intelligence with Python
    6. IBM's Introduction to AI
    7. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    8. Scikit-Learn
    9. Keras
    10. TensorFlow
    11. 3Blue1Brown's Neural Networks Series
    12. Khan Academy's Artificial Intelligence course

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

    Show full AI answer
  • CATEGORY QUERY
    What are good platforms for learning AI prompt engineering, tutorials, and tracking industry news?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Cookbook
    2. DeepLearning.AI
    3. LearnPrompting.org
    4. Prompt Engineering Guide
    5. Kaggle
    6. Towards Data Science
    7. AI Explained

    AI recommended 7 alternatives but never named ConardLi/easy-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
    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 ConardLi/easy-learn-ai?
    pass
    AI named ConardLi/easy-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 ConardLi/easy-learn-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ConardLi/easy-learn-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 ConardLi/easy-learn-ai solve, and who is the primary audience?
    pass
    AI did not name ConardLi/easy-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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ConardLi/easy-learn-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