RRepoGEO

REPOGEO REPORT · LITE

yunionio/cloudpods

Default branch master · commit 1b742b49 · scanned 6/28/2026, 10:18:24 AM

GitHub: 2,913 stars · 632 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 yunionio/cloudpods, 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
    Expand the 'about' description to include AI workload management

    Why:

    CURRENT
    An open-source cloud-native unified-cloud platform. 开源云原生融合云平台
    COPY-PASTE FIX
    A cloud-native unified platform for managing hybrid/multi-cloud resources (KVM, bare metal, public clouds) and deploying AI/LLM workloads.
  • mediumtopics#2
    Add specific topics for AI/LLM workloads

    Why:

    CURRENT
    ai, aws, azure, baremetal, baremetal-provisioning, cloud, cmp, gcp, hybridcloud, iaas, infrastructure, kubernetes, kvm, multi-cloud, openclaw, openstack, private-cloud, qemu, unified-cloud, vsphere
    COPY-PASTE FIX
    ai, aws, azure, baremetal, baremetal-provisioning, cloud, cmp, gcp, hybridcloud, iaas, infrastructure, kubernetes, kvm, multi-cloud, openclaw, openstack, private-cloud, qemu, unified-cloud, vsphere, llm, ai-workloads, ai-platform
  • lowreadme#3
    Elevate 'AI Cloud' to its own sub-section in the README

    Why:

    CURRENT
    The 'AI Cloud' description is currently the second paragraph under '## What is Cloudpods?'.
    COPY-PASTE FIX
    ## What is Cloudpods?

Cloudpods is a cloud-native open source unified multi/hybrid-cloud platform developed with Golang, i.e. Cloudpods is *a cloud on clouds*. Cloudpods is able to manage not only on-premise KVM/baremetals, but also resources from many cloud accounts across many cloud providers. It hides the differences of underlying cloud providers and exposes one set of APIs that allow programatically interacting with these many clouds.

### AI Cloud

Cloudpods also provides **AI Cloud**, a unified management platform for large language model (LLM) inference and AI container applications, helping enterprises deploy, schedule, and operate AI workloads on a single platform, seamlessly integrated with the Cloudpods private cloud / multi-cloud resource ecosystem.

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 yunionio/cloudpods
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenStack
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenStack · recommended 1×
  2. Red Hat OpenShift · recommended 1×
  3. OpenShift Virtualization · recommended 1×
  4. OpenShift Bare Metal · recommended 1×
  5. HashiCorp Nomad · recommended 1×
  • CATEGORY QUERY
    How to unify management across on-premise KVM, bare metal, and public cloud providers?
    you: not recommended
    AI recommended (in order):
    1. OpenStack
    2. Red Hat OpenShift
    3. OpenShift Virtualization
    4. OpenShift Bare Metal
    5. HashiCorp Nomad
    6. Packer
    7. Terraform
    8. Ansible Automation Platform
    9. Cloudify
    10. VMware vRealize Suite
    11. VMware Cloud Foundation
    12. Tanzu
    13. Apache CloudStack

    AI recommended 13 alternatives but never named yunionio/cloudpods. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a platform for deploying and managing AI workloads on private cloud and baremetal.
    you: not recommended
    AI recommended (in order):
    1. OpenShift
    2. Kubeflow (kubeflow/kubeflow)
    3. VMware Tanzu
    4. NVIDIA AI Enterprise
    5. Mirantis Container Cloud
    6. HPE GreenLake for ML Ops

    AI recommended 6 alternatives but never named yunionio/cloudpods. 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 yunionio/cloudpods?
    pass
    AI named yunionio/cloudpods explicitly

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

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

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

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