RRepoGEO

REPOGEO REPORT · LITE

ConardLi/easy-learn-ai

Default branch main · commit 515b7598 · scanned 5/19/2026, 3:38:19 PM

GitHub: 1,170 stars · 177 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

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

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clearly state usage permissions.
  • mediumreadme#2
    Refine the README's '项目简介' (Project Introduction) section

    Why:

    CURRENT
    Easy AI 是一个专注于 AI 教育的现代化 Web 应用平台,旨在通过简洁直观的方式帮助用户理解复杂的人工智能概念。平台集成了多个学习模块,提供从基础概念到实践应用的全方位 AI 知识体系。
    COPY-PASTE FIX
    Easy AI 是一个专注于 AI 教育的现代化**交互式学习平台和综合知识库**,旨在通过简洁直观的方式帮助用户理解复杂的人工智能概念。平台集成了多个学习模块,提供从基础概念到实践应用的全方位 AI 知识体系。

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
AI For Everyone" by Andrew Ng
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AI For Everyone" by Andrew Ng · recommended 1×
  2. Learn with Google AI · recommended 1×
  3. Machine Learning Crash Course" with TensorFlow APIs · recommended 1×
  4. CS50's Introduction to Artificial Intelligence with Python · recommended 1×
  5. Introduction to AI" (from IBM) · recommended 1×
  • CATEGORY QUERY
    Where can I find beginner-friendly resources to understand core AI concepts easily?
    you: not recommended
    AI recommended (in order):
    1. AI For Everyone" by Andrew Ng
    2. Learn with Google AI
    3. Machine Learning Crash Course" with TensorFlow APIs
    4. CS50's Introduction to Artificial Intelligence with Python
    5. Introduction to AI" (from IBM)
    6. The Hundred-Page Machine Learning Book" by Andriy Burkov
    7. 3Blue1Brown's Neural Networks Series
    8. Khan Academy's Artificial Intelligence section

    AI recommended 8 alternatives but never named ConardLi/easy-learn-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good platforms to learn about large language model architectures and deployment?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Model Hub
    3. `transformers` library
    4. `diffusers` library
    5. Spaces
    6. Inference Endpoints
    7. PyTorch
    8. PyTorch Lightning
    9. TensorFlow
    10. Keras
    11. OpenAI API
    12. AWS SageMaker
    13. SageMaker JumpStart
    14. SageMaker Studio
    15. SageMaker Endpoints
    16. SageMaker Training
    17. Google Cloud Vertex AI
    18. Vertex AI Model Garden
    19. Vertex AI Workbench
    20. Vertex AI Endpoints
    21. Vertex AI Training
    22. Microsoft Azure Machine Learning
    23. Azure OpenAI Service
    24. Azure Machine Learning Studio
    25. Managed Endpoints

    AI recommended 25 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?

Embed your GEO score

Drop this badge into the README of ConardLi/easy-learn-ai. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/ConardLi/easy-learn-ai.svg)](https://repogeo.com/en/r/ConardLi/easy-learn-ai)
HTML
<a href="https://repogeo.com/en/r/ConardLi/easy-learn-ai"><img src="https://repogeo.com/badge/ConardLi/easy-learn-ai.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

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