RRepoGEO

REPOGEO REPORT · LITE

OpenNebula/one

Default branch master · commit 04c5fccb · scanned 6/19/2026, 3:13:11 AM

GitHub: 1,707 stars · 527 forks

AI VISIBILITY SCORE
27 /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
1 / 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 OpenNebula/one, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumtopics#1
    Add specific cloud and workload topics

    Why:

    CURRENT
    cloud, kvm, lxc, open-source, opennebula, orchestration, virtual-machine, virtualization
    COPY-PASTE FIX
    cloud, kvm, lxc, open-source, opennebula, orchestration, virtual-machine, virtualization, hybrid-cloud, edge-computing, gpu, kubernetes, container-orchestration
  • mediumreadme#2
    Add a 'Why OpenNebula?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Why OpenNebula?

While tools like Kubernetes excel at container orchestration, OpenNebula provides a unified platform for managing Virtual Machines, Kubernetes Clusters, and GPU-accelerated AI workloads across on-premises, edge, and hybrid environments. It simplifies the complexities of cloud infrastructure by offering a single, powerful operating model that integrates existing virtualization (KVM, VMware) and extends to distributed and edge deployments, making it ideal for enterprises seeking comprehensive control beyond just containers.

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 OpenNebula/one
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kubernetes
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kubernetes · recommended 2×
  2. OpenShift · recommended 1×
  3. Rancher · recommended 1×
  4. Harvester · recommended 1×
  5. KubeVirt · recommended 1×
  • CATEGORY QUERY
    What open source platform helps manage virtual machines and containers across hybrid cloud environments?
    you: not recommended
    AI recommended (in order):
    1. OpenShift
    2. Rancher
    3. Harvester
    4. Kubernetes
    5. KubeVirt
    6. Proxmox VE
    7. Apache CloudStack

    AI recommended 7 alternatives but never named OpenNebula/one. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a platform to orchestrate edge computing infrastructure with GPU-accelerated workloads.
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. KubeEdge
    3. OpenYurt
    4. NVIDIA's GPU Operator
    5. Azure IoT Edge
    6. AWS IoT Greengrass
    7. NVIDIA Fleet Command
    8. Canonical MicroK8s
    9. Charmed Kubernetes
    10. EdgeX Foundry
    11. Rancher K3s

    AI recommended 11 alternatives but never named OpenNebula/one. 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 OpenNebula/one?
    pass
    AI did not name OpenNebula/one — likely talking about a different project

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

  • If a team adopts OpenNebula/one in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name OpenNebula/one — likely talking about a different project

    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 OpenNebula/one solve, and who is the primary audience?
    pass
    AI named OpenNebula/one 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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OpenNebula/one — 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