REPOGEO REPORT · LITE

aidlearning/AidLearning-FrameWork

Default branch master · commit 84d0676b · scanned 5/9/2026, 6:02:19 PM

GitHub: 5,770 stars · 719 forks

AI VISIBILITY SCORE

33 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 aidlearning/AidLearning-FrameWork, 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

highabout#1

Reposition the 'about' description to highlight AI development first

Why:

CURRENT

🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high performance acceleration...Linux on Android or HarmonyOS

COPY-PASTE FIX

AidLearning is an all-in-one AI development platform that provides a full Linux environment with GUI, deep learning tools, and a visual IDE directly on Android/HarmonyOS devices. It enables high-performance AI inference with CPU+GPU+NPU acceleration on mobile.

mediumtopics#2

Add more specific AI development and mobile AI topics

Why:

CURRENT

aios, aiot, android, android-hacking, android-linux, android-linux-ai, jupyter, linux, linux-android, linux-on-android, macos-on-android, opencl, py2apk, python, python-for-android, terminal, tflite, vscode

COPY-PASTE FIX

aios, aiot, android, android-linux, android-linux-ai, jupyter, linux, linux-android, linux-on-android, opencl, py2apk, python, python-for-android, terminal, tflite, vscode, mobile-ai-development, on-device-ai, llm-on-mobile, edge-ai-development, ai-platform-android

lowreadme#3

Add a clear statement about the project's license in the README

Why:

COPY-PASTE FIX

This project is licensed under [Specify License Name(s) here, e.g., a custom license or a combination of licenses]. Please refer to the LICENSE file for full details.

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 aidlearning/AidLearning-FrameWork

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Termux

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Termux · recommended 1×
Proot-Distro · recommended 1×
tigervnc-server · recommended 1×
vnc4server · recommended 1×
VNC Viewer · recommended 1×

CATEGORY QUERY
How can I run a full Linux desktop environment with AI development tools on my Android device?
you: not recommended
AI recommended (in order):
1. Termux
2. Proot-Distro
3. tigervnc-server
4. vnc4server
5. VNC Viewer
6. bVNC
7. Python
8. pip
9. TensorFlow
10. PyTorch
11. Keras
12. scikit-learn
13. JupyterLab
14. UserLAnd
15. Andronix
16. Andronix App
17. Limbo PC Emulator
18. Samsung DeX
AI recommended 18 alternatives but never named aidlearning/AidLearning-FrameWork. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best tools for deploying and accelerating large AI models on mobile hardware?
you: not recommended
AI recommended (in order):
1. TensorFlow Lite
2. PyTorch Mobile
3. Core ML
4. ONNX Runtime
5. MediaTek NeuroPilot
6. Qualcomm Neural Processing SDK
7. Huawei HiAI Engine
AI recommended 7 alternatives but never named aidlearning/AidLearning-FrameWork. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 aidlearning/AidLearning-FrameWork?
pass
AI did not name aidlearning/AidLearning-FrameWork — 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 aidlearning/AidLearning-FrameWork in production, what risks or prerequisites should they evaluate first?
pass
AI named aidlearning/AidLearning-FrameWork 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 aidlearning/AidLearning-FrameWork solve, and who is the primary audience?
pass
AI named aidlearning/AidLearning-FrameWork explicitly
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 aidlearning/AidLearning-FrameWork. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/aidlearning/AidLearning-FrameWork.svg)](https://repogeo.com/en/r/aidlearning/AidLearning-FrameWork)

HTML

<a href="https://repogeo.com/en/r/aidlearning/AidLearning-FrameWork"><img src="https://repogeo.com/badge/aidlearning/AidLearning-FrameWork.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite