RRepoGEO

REPOGEO REPORT · LITE

Katakate/k7

Default branch main · commit 57314523 · scanned 6/15/2026, 12:12:21 PM

GitHub: 782 stars · 21 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 Katakate/k7, 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 README's core message to be declarative and unambiguous

    Why:

    CURRENT
    Katakate aims to make it easy to create, manage and orchestrate lightweight safe VM sandboxes for executing untrusted code, at scale.
    COPY-PASTE FIX
    Katakate is your self-hosted infrastructure for lightweight VM sandboxes, designed to safely execute untrusted code at scale. It provides a CLI, API, and Python SDK.
  • mediumtopics#2
    Expand topics with specific problem domains for AI compute and untrusted code

    Why:

    CURRENT
    agents, code, firecracker, kata, kubernetes, sandbox, security, self-hosted, virtual-machine, virtualization
    COPY-PASTE FIX
    agents, ai-compute, code, firecracker, kata, kubernetes, sandbox, security, self-hosted, untrusted-code-execution, virtual-machine, virtualization
  • mediumreadme#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'How Katakate/k7 Relates to Other Tools' or 'Comparison with Alternatives' that explicitly explains its relationship to and differentiation from projects like Firecracker, Kata Containers, gVisor, and Kubernetes. For example, 'Katakate/k7 builds upon battle-tested technologies like Kata Containers, Firecracker, and Kubernetes to provide a complete, self-hosted platform for managing VM sandboxes, rather than just a component.'

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 Katakate/k7
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
firecracker-microvm/firecracker
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. firecracker-microvm/firecracker · recommended 2×
  2. kata-containers/kata-containers · recommended 2×
  3. google/gvisor · recommended 2×
  4. QEMU/KVM · recommended 1×
  5. VirtualBox · recommended 1×
  • CATEGORY QUERY
    How can I self-host secure, lightweight VM sandboxes for untrusted code execution?
    you: not recommended
    AI recommended (in order):
    1. Firecracker (firecracker-microvm/firecracker)
    2. Kata Containers (kata-containers/kata-containers)
    3. gVisor (google/gvisor)
    4. QEMU/KVM
    5. VirtualBox

    AI recommended 5 alternatives but never named Katakate/k7. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for orchestrating secure virtual machine sandboxes for AI compute workloads at scale?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. Kata Containers (kata-containers/kata-containers)
    3. gVisor (google/gvisor)
    4. OpenStack
    5. KVM
    6. QEMU (qemu/qemu)
    7. VMware vSphere
    8. VMware Tanzu
    9. Google Cloud Anthos
    10. GKE Sandbox
    11. Azure Kubernetes Service (AKS)
    12. Azure Container Instances (ACI)
    13. Confidential Containers
    14. AWS Fargate
    15. Firecracker (firecracker-microvm/firecracker)

    AI recommended 15 alternatives but never named Katakate/k7. 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 Katakate/k7?
    pass
    AI named Katakate/k7 explicitly

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

  • If a team adopts Katakate/k7 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Katakate/k7 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 Katakate/k7 solve, and who is the primary audience?
    pass
    AI named Katakate/k7 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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MARKDOWN (README)
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Katakate/k7 — 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