RRepoGEO

REPOGEO REPORT · LITE

callstack/agent-device

Default branch main · commit 6babdfb6 · scanned 6/5/2026, 3:42:17 AM

GitHub: 2,449 stars · 130 forks

AI VISIBILITY SCORE
40 /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
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 callstack/agent-device, 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 the `agent-browser` comparison to the README's opening

    Why:

    CURRENT
    # agent-device

Mobile app verification for AI agents.

A device automation CLI for real apps on iOS, Android, TV, and desktop. Agents get token-efficient snapshots, semantic refs, and evidence captured only when needed.
    COPY-PASTE FIX
    # agent-device

Mobile app verification for AI agents. If you know Vercel's agent-browser, `agent-device` is the same idea for mobile, TV, and desktop apps.

It's a device automation CLI for real apps on iOS, Android, TV, and desktop. Agents get token-efficient snapshots, semantic refs, and evidence captured only when needed.
  • mediumreadme#2
    Add a dedicated 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison to other tools

While tools like Appium, Detox, Espresso, XCUITest, and Maestro provide robust mobile UI automation, `agent-device` is specifically designed for **AI agents**. It focuses on providing token-efficient snapshots, semantic references, and evidence capture only when needed, optimizing for agent interaction rather than traditional end-to-end testing scripts.
  • lowabout#3
    Refine the repository description to emphasize AI agent automation

    Why:

    CURRENT
    CLI to control iOS and Android devices for AI agents
    COPY-PASTE FIX
    Programmatic CLI for AI agents to automate and verify interactions on iOS, Android, TV, and desktop apps.

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 callstack/agent-device
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
XCUITest
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. XCUITest · recommended 2×
  2. appium/appium · recommended 1×
  3. wix/Detox · recommended 1×
  4. android/android-test · recommended 1×
  5. mobile-dev-inc/maestro · recommended 1×
  • CATEGORY QUERY
    How can AI agents automate interaction and verification on mobile app interfaces?
    you: not recommended
    AI recommended (in order):
    1. Appium (appium/appium)
    2. Detox (wix/Detox)
    3. Espresso (android/android-test)
    4. XCUITest
    5. Maestro (mobile-dev-inc/maestro)
    6. Kobiton
    7. Sauce Labs
    8. BrowserStack
    9. SeeTest

    AI recommended 9 alternatives but never named callstack/agent-device. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to programmatically control iOS and Android app UI for automated testing or agents?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. Detox
    3. Espresso
    4. XCUITest
    5. Maestro
    6. Playwright
    7. Calabash

    AI recommended 7 alternatives but never named callstack/agent-device. 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 callstack/agent-device?
    pass
    AI named callstack/agent-device explicitly

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

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

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

Embed your GEO score

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callstack/agent-device — 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