RRepoGEO

REPOGEO REPORT · LITE

superradcompany/microsandbox

Default branch main · commit 9c0ae546 · scanned 5/28/2026, 5:36:19 AM

GitHub: 6,331 stars · 308 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 superradcompany/microsandbox, 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
    Strengthen README's opening to emphasize AI agent specialization

    Why:

    CURRENT
    **Microsandbox** spins up **lightweight VMs in milliseconds** from our SDKs. Runs locally on your machine. No server to set up. No lingering daemon. It is all embedded and rootless!
    COPY-PASTE FIX
    Microsandbox is the easiest way to give your AI agent its own secure, programmable computer. It spins up lightweight VMs in milliseconds from our SDKs, purpose-built for agentic workflows. Runs locally on your machine. No server to set up. No lingering daemon. It is all embedded and rootless!
  • mediumtopics#2
    Add more specific AI agent-related topics

    Why:

    CURRENT
    agents, ai, container, docker, linux, macos, mcp, nodejs, orchestration, rust, sandbox, sandboxing, security, self-hosted, typescript, virtualization, vm, windows
    COPY-PASTE FIX
    ai-agents, agent-sandbox, secure-execution, programmable-sandbox, agents, ai, container, docker, linux, macos, mcp, nodejs, orchestration, rust, sandbox, sandboxing, security, self-hosted, typescript, virtualization, vm, windows
  • mediumreadme#3
    Add a 'Comparison' section to differentiate from generic runtimes

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., '## Why Microsandbox for AI Agents? (vs. Generic Virtualization)' that explicitly outlines how `microsandbox` differs from and complements tools like Firecracker, gVisor, or Docker for AI agent use cases.

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 superradcompany/microsandbox
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
gVisor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. gVisor · recommended 1×
  2. Firecracker · recommended 1×
  3. Kata Containers · recommended 1×
  4. Docker · recommended 1×
  5. Wasmtime · recommended 1×
  • CATEGORY QUERY
    How to securely run untrusted code for AI agents in an isolated environment?
    you: not recommended
    AI recommended (in order):
    1. gVisor
    2. Firecracker
    3. Kata Containers
    4. Docker
    5. Wasmtime
    6. Wasmer
    7. NSJail
    8. AWS Lambda
    9. Google Cloud Functions
    10. Azure Functions

    AI recommended 10 alternatives but never named superradcompany/microsandbox. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a fast, embeddable local virtualization solution for running container images securely.
    you: not recommended
    AI recommended (in order):
    1. Kata Containers (kata-containers/kata-containers)
    2. Firecracker (firecracker-microvm/firecracker)
    3. gVisor (google/gvisor)
    4. Nabla Containers (nabla-containers/nabla-containers)

    AI recommended 4 alternatives but never named superradcompany/microsandbox. 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 superradcompany/microsandbox?
    pass
    AI named superradcompany/microsandbox explicitly

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

  • If a team adopts superradcompany/microsandbox in production, what risks or prerequisites should they evaluate first?
    pass
    AI named superradcompany/microsandbox 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 superradcompany/microsandbox solve, and who is the primary audience?
    pass
    AI named superradcompany/microsandbox 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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  • Brand-free category queries5 vs 2 in Lite
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