RRepoGEO

REPOGEO REPORT · LITE

callstackincubator/agent-device

Default branch main · commit 053bbace · scanned 6/25/2026, 11:22:01 PM

GitHub: 2,907 stars · 163 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 callstackincubator/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 README opening to emphasize AI agent differentiation

    Why:

    CURRENT
    Mobile app verification for AI agents. A device automation CLI for real apps on iOS, Android, TV, web, and desktop. Agents get token-efficient snapshots, semantic refs, and evidence captured only when needed.
    COPY-PASTE FIX
    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, web, and desktop, specifically designed for AI agents. Unlike general mobile automation tools, `agent-device` provides AI agents with token-efficient snapshots, semantic references, and evidence captured only when needed for mobile app verification.
  • mediumtopics#2
    Prune generic mobile testing topics to sharpen AI agent focus

    Why:

    CURRENT
    adb, agentic-ai, agents, ai-agents, android-emulator, automation, e2e-testing, expo, flutter, ios-simulator, mcp, mobile, mobile-testing, performance-optimization, react-native, testing, xcuitest
    COPY-PASTE FIX
    adb, agentic-ai, agents, ai-agents, android-emulator, expo, flutter, ios-simulator, mcp, mobile, react-native
  • lowreadme#3
    Add a dedicated comparison section to differentiate from general mobile automation tools

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, under a heading like `## Why agent-device for AI agents? (vs. Appium, Detox, Maestro)` that explicitly outlines how `agent-device`'s design for AI agents differs from general mobile automation frameworks in terms of UI inspection, interaction, and evidence collection.

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 callstackincubator/agent-device
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Espresso
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Espresso · recommended 2×
  2. XCUITest · recommended 2×
  3. Kobiton · recommended 2×
  4. Appium · recommended 1×
  5. Detox · recommended 1×
  • CATEGORY QUERY
    How to automate mobile device interactions and UI inspection for AI agent testing?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. Detox
    3. Espresso
    4. XCUITest
    5. Maestro
    6. UI Automator
    7. Kobiton
    8. Sauce Labs
    9. BrowserStack

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

    Show full AI answer
  • CATEGORY QUERY
    Tool for AI agents to perform end-to-end testing and verify mobile app behavior?
    you: not recommended
    AI recommended (in order):
    1. Appium (appium/appium)
    2. Detox (wix/Detox)
    3. Maestro (mobile-dev-inc/maestro)
    4. Espresso
    5. XCUITest
    6. Kobiton
    7. BrowserStack App Automate

    AI recommended 7 alternatives but never named callstackincubator/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 callstackincubator/agent-device?
    pass
    AI named callstackincubator/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 callstackincubator/agent-device in production, what risks or prerequisites should they evaluate first?
    pass
    AI named callstackincubator/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 callstackincubator/agent-device solve, and who is the primary audience?
    pass
    AI named callstackincubator/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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callstackincubator/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