RRepoGEO

REPOGEO REPORT · LITE

zerobootdev/zeroboot

Default branch main · commit 87ca9c01 · scanned 6/20/2026, 6:37:55 AM

GitHub: 2,372 stars · 105 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
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 zerobootdev/zeroboot, 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
  • highabout#1
    Clarify the 'About' description to counter miscategorization

    Why:

    CURRENT
    Sub-millisecond VM sandboxes for AI agents via copy-on-write forking
    COPY-PASTE FIX
    Sub-millisecond VM sandboxes for AI agents, providing secure, low-latency execution for untrusted code (it is not a bootloader).
  • mediumreadme#2
    Add a 'Key Benefits' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Benefits for AI Agents & Secure Execution

Zeroboot offers unparalleled speed and isolation for AI agent workloads and running untrusted code. With sub-millisecond VM spawn times and minimal memory overhead (265KB per sandbox), it enables highly concurrent, secure, and efficient execution environments. Each sandbox is a real KVM virtual machine with hardware-enforced memory isolation, ensuring robust security for sensitive operations.
  • lowtopics#3
    Expand topics to include 'isolation' and 'security'

    Why:

    CURRENT
    ai-agents, code-execution, copy-on-write, firecracker, kvm, rust, sandbox, virtual-machine, vm
    COPY-PASTE FIX
    ai-agents, code-execution, copy-on-write, firecracker, kvm, rust, sandbox, virtual-machine, vm, isolation, security

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 zerobootdev/zeroboot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
QEMU/KVM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. QEMU/KVM · recommended 2×
  2. Kata Containers · recommended 1×
  3. Firecracker · recommended 1×
  4. gVisor · recommended 1×
  5. Cloud Hypervisor · recommended 1×
  • CATEGORY QUERY
    How to get extremely fast, isolated virtual machine sandboxes for AI agent workloads?
    you: not recommended
    AI recommended (in order):
    1. Kata Containers
    2. Firecracker
    3. gVisor
    4. Cloud Hypervisor
    5. KubeVirt
    6. QEMU/KVM
    7. Intel TDX
    8. AMD SEV

    AI recommended 8 alternatives but never named zerobootdev/zeroboot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a low-latency KVM-based sandbox to run untrusted code securely.
    you: not recommended
    AI recommended (in order):
    1. Firecracker (firecracker-microvm/firecracker)
    2. Kata Containers (kata-containers/kata-containers)
    3. gVisor (google/gvisor)
    4. Cloud Hypervisor (cloud-hypervisor/cloud-hypervisor)
    5. QEMU/KVM

    AI recommended 5 alternatives but never named zerobootdev/zeroboot. 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 zerobootdev/zeroboot?
    pass
    AI named zerobootdev/zeroboot explicitly

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

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

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

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zerobootdev/zeroboot — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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