RRepoGEO

REPOGEO REPORT · LITE

X-PLUG/MobileAgent

Default branch main · commit 0e5065e9 · scanned 5/18/2026, 7:23:29 PM

GitHub: 8,685 stars · 875 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
35 /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
3 / 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 X-PLUG/MobileAgent, 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
    Add a clear positioning statement to the README's introduction

    Why:

    CURRENT
    The current introductory section, specifically after the main H2.
    COPY-PASTE FIX
    Mobile-Agent is an open-source framework for building and evaluating **LLM-powered autonomous AI agents** that interact directly with **Android mobile device GUIs** to perform complex, multi-step tasks. Unlike traditional automation tools, Mobile-Agent focuses on intelligent, multimodal interaction driven by large language models.
  • mediumtopics#2
    Add 'llm-agent' topic for clearer categorization

    Why:

    CURRENT
    agent, android, app, automation, copilot, gui, mllm, mobile, mobile-agents, multimodal, multimodal-agent, multimodal-large-language-models
    COPY-PASTE FIX
    agent, android, app, automation, copilot, gui, llm-agent, mllm, mobile, mobile-agents, multimodal, multimodal-agent, multimodal-large-language-models
  • lowhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    Provide a URL to the project's official homepage, documentation, or a primary demo portal (e.g., a dedicated project website, a main Modelscope/HuggingFace collection page, or the organization's AI research page).

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 X-PLUG/MobileAgent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Appium
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Appium · recommended 2×
  2. TensorFlow · recommended 2×
  3. PyTorch · recommended 2×
  4. UIAutomator2 · recommended 2×
  5. Python · recommended 1×
  • CATEGORY QUERY
    How can I automate complex user interactions on Android apps with an AI agent?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. Python
    3. Java
    4. TensorFlow
    5. PyTorch
    6. scikit-learn
    7. UIAutomator2
    8. openatx
    9. Frida
    10. Google Cloud ML Kit
    11. Robot Framework
    12. Appium Library
    13. TestProject.io

    AI recommended 13 alternatives but never named X-PLUG/MobileAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help develop intelligent agents for multimodal mobile GUI automation?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. OpenCV
    3. UIAutomator2
    4. XCUITest
    5. SeeTest
    6. Google Cloud Vision AI
    7. Amazon Rekognition
    8. Azure Cognitive Services
    9. OpenAI GPT-4V (Vision)
    10. Google Gemini (Vision)
    11. Stable Baselines3
    12. Ray RLlib
    13. PyTorch
    14. TensorFlow
    15. SikuliX

    AI recommended 15 alternatives but never named X-PLUG/MobileAgent. 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 X-PLUG/MobileAgent?
    pass
    AI named X-PLUG/MobileAgent explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts X-PLUG/MobileAgent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named X-PLUG/MobileAgent 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 X-PLUG/MobileAgent solve, and who is the primary audience?
    pass
    AI named X-PLUG/MobileAgent explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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X-PLUG/MobileAgent — 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