REPOGEO REPORT · LITE

TencentQQGYLab/AppAgent

Default branch main · commit 2c190042 · scanned 5/23/2026, 5:58:04 AM

GitHub: 6,750 stars · 750 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

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 TencentQQGYLab/AppAgent, 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

highreadme#1

Reposition README's opening to clearly state AppAgent's purpose and unique approach

Why:

CURRENT

# [CHI 2025] AppAgent

COPY-PASTE FIX

# AppAgent: Multimodal LLM Agent for Smartphone Control

AppAgent is an LLM-based multimodal agent framework designed to operate any smartphone application by visually perceiving the screen and generating human-like actions (taps, swipes, text input), without requiring app-specific APIs or accessibility trees. This project enables advanced AI automation for mobile tasks.

mediumtopics#2

Expand topics to include specific mobile automation and GUI agent keywords

Why:

CURRENT

agent, chatgpt, generative-ai, gpt4, gpt4v, llm

COPY-PASTE FIX

agent, chatgpt, generative-ai, gpt4, gpt4v, llm, mobile-automation, gui-agent, smartphone-control, multimodal-agent, visual-perception

mediumreadme#3

Add a dedicated 'Why AppAgent?' or 'Key Differentiators' section to the README

Why:

COPY-PASTE FIX

Add a new section, for example, `## Why AppAgent?` or `## Key Differentiators`, that explicitly states how AppAgent differs from traditional mobile automation frameworks (e.g., Appium, UI Automator) by using visual perception and LLMs to control *any* app without needing specific APIs or accessibility trees.

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 TencentQQGYLab/AppAgent

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Appium

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Appium · recommended 2×
UI Automator · recommended 2×
XCUITest · recommended 2×
Robot Framework · recommended 1×
Appium Library · recommended 1×

CATEGORY QUERY
How can I use AI to automate interactions within smartphone applications?
you: not recommended
AI recommended (in order):
1. Appium
2. UI Automator
3. XCUITest
4. Robot Framework
5. Appium Library
6. OpenCV
7. SeeTest
8. Test.ai
9. OpenAI Gym
10. Stable Baselines3
11. Ray RLlib
12. TensorFlow Lite
AI recommended 12 alternatives but never named TencentQQGYLab/AppAgent. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are frameworks for building AI agents that control mobile device GUIs?
you: not recommended
AI recommended (in order):
1. Appium
2. UI Automator
3. XCUITest
4. Maestro
5. Detox
6. Calabash
AI recommended 6 alternatives but never named TencentQQGYLab/AppAgent. 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 TencentQQGYLab/AppAgent?
pass
AI did not name TencentQQGYLab/AppAgent — 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 TencentQQGYLab/AppAgent in production, what risks or prerequisites should they evaluate first?
pass
AI named TencentQQGYLab/AppAgent 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 TencentQQGYLab/AppAgent solve, and who is the primary audience?
pass
AI named TencentQQGYLab/AppAgent 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 TencentQQGYLab/AppAgent. 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/TencentQQGYLab/AppAgent.svg)](https://repogeo.com/en/r/TencentQQGYLab/AppAgent)

HTML

<a href="https://repogeo.com/en/r/TencentQQGYLab/AppAgent"><img src="https://repogeo.com/badge/TencentQQGYLab/AppAgent.svg" alt="RepoGEO" /></a>

Pro

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TencentQQGYLab/AppAgent — 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