RRepoGEO

REPOGEO REPORT · LITE

Westlake-AGI-Lab/AppAgentX

Default branch main · commit d0fcaeb1 · scanned 6/15/2026, 3:23:14 PM

GitHub: 655 stars · 82 forks

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 Westlake-AGI-Lab/AppAgentX, 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
    Clarify AppAgentX's core purpose as an LLM agent framework in the README abstract

    Why:

    CURRENT
    Recent advancements in Large Language Models (LLMs) have led to the development of intelligent LLM-based agents capable of interacting with graphical user interfaces (GUIs).
    COPY-PASTE FIX
    AppAgentX is an innovative LLM-based agent framework designed to enable autonomous interaction with diverse graphical user interfaces (GUIs) across smartphone applications. Recent advancements in Large Language Models (LLMs) have led to the development of intelligent LLM-based agents capable of interacting with graphical user interfaces (GUIs).
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-agents, gui-automation, smartphone-automation, mobile-ai, large-language-models, multimodal-ai, agent-framework, app-control
  • highlicense#3
    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) that reflects the project's intended usage.

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 Westlake-AGI-Lab/AppAgentX
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. UI Automator · recommended 2×
  3. XCUITest · recommended 2×
  4. OpenCV · recommended 2×
  5. OpenAI Gym · recommended 2×
  • CATEGORY QUERY
    How can I develop an AI agent for autonomous interaction with mobile application interfaces?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. UI Automator
    3. XCUITest
    4. OpenCV
    5. Tesseract OCR
    6. Selenium
    7. Python
    8. Pillow
    9. scikit-image
    10. OpenAI Gym
    11. Stable Baselines3
    12. PyTorch
    13. TensorFlow

    AI recommended 13 alternatives but never named Westlake-AGI-Lab/AppAgentX. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks help create intelligent agents capable of operating smartphone applications proficiently?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. UI Automator
    3. XCUITest
    4. OpenCV
    5. Tesseract
    6. Selenium WebDriver
    7. Stable Baselines3
    8. Ray RLlib
    9. OpenAI Gym
    10. PyAutoGUI
    11. Android Debug Bridge (ADB)

    AI recommended 11 alternatives but never named Westlake-AGI-Lab/AppAgentX. 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 Westlake-AGI-Lab/AppAgentX?
    pass
    AI named Westlake-AGI-Lab/AppAgentX explicitly

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

  • If a team adopts Westlake-AGI-Lab/AppAgentX in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Westlake-AGI-Lab/AppAgentX 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 Westlake-AGI-Lab/AppAgentX solve, and who is the primary audience?
    pass
    AI named Westlake-AGI-Lab/AppAgentX 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 Westlake-AGI-Lab/AppAgentX. 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)
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Westlake-AGI-Lab/AppAgentX — 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