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

Of all named tools, what % are you?

Top rival

TensorFlow

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

TensorFlow · recommended 2×
AI For Everyone · recommended 1×
Learn with Google AI · recommended 1×
Machine Learning Crash Course · recommended 1×
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?

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.

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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>

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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