RRepoGEO

REPOGEO REPORT · LITE

minitap-ai/mobile-use

Default branch main · commit e1d31abc · scanned 5/22/2026, 7:17:31 AM

GitHub: 2,552 stars · 214 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 minitap-ai/mobile-use, 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
    Expand topics to include specific mobile AI automation keywords

    Why:

    CURRENT
    agents, ai, browser-use, langchain, langgraph, langgraph-python, mobile, mobile-use, python, qa
    COPY-PASTE FIX
    agents, ai, browser-use, langchain, langgraph, langgraph-python, mobile, mobile-use, python, qa, mobile-automation, ios-automation, android-automation, llm-agents, natural-language-processing, ui-automation, ai-agents
  • mediumreadme#2
    Add a "Key Differentiators & What Mobile-use IS NOT" section to README

    Why:

    COPY-PASTE FIX
    ## 💡 Key Differentiators & What Mobile-use IS NOT

Mobile-use is an **active AI agent** designed to *control* your mobile device through natural language, performing tasks just like a human user.

**It is NOT:**
- A passive mobile usage tracking or analytics tool.
- A framework primarily for traditional mobile test automation (though it can automate tasks).
- Limited to browser-only interactions; it controls native apps.
  • lowreadme#3
    Refine README H1 to explicitly state "AI Agents Control"

    Why:

    CURRENT
    # mobile-use: automate your phone with natural language
    COPY-PASTE FIX
    # mobile-use: AI Agents Control Android & iOS Apps with Natural Language

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 minitap-ai/mobile-use
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. Maestro · recommended 2×
  3. OpenAI GPT-4 · recommended 1×
  4. GPT-3.5 Turbo · recommended 1×
  5. UIPath · recommended 1×
  • CATEGORY QUERY
    How can I automate mobile app interactions using AI agents and natural language commands?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. OpenAI GPT-4
    3. GPT-3.5 Turbo
    4. UIPath
    5. UIPath AI Fabric
    6. TestProject.io
    7. Maestro
    8. Airtable
    9. Google Sheets
    10. Zapier
    11. Make
    12. Google Cloud Vision AI
    13. AWS Rekognition

    AI recommended 13 alternatives but never named minitap-ai/mobile-use. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python library to enable AI agents to control iOS and Android applications.
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. Detox
    3. uiautomator2
    4. py-xcui
    5. Maestro
    6. Airtest Project

    AI recommended 6 alternatives but never named minitap-ai/mobile-use. 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 minitap-ai/mobile-use?
    pass
    AI did not name minitap-ai/mobile-use — 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 minitap-ai/mobile-use in production, what risks or prerequisites should they evaluate first?
    pass
    AI named minitap-ai/mobile-use 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 minitap-ai/mobile-use solve, and who is the primary audience?
    pass
    AI named minitap-ai/mobile-use explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite