RRepoGEO

REPOGEO REPORT · LITE

yunionio/cloudpods

Default branch master · commit 81149c89 · scanned 5/17/2026, 8:23:05 AM

GitHub: 2,896 stars · 629 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
33 /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
2 / 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
  • highreadme#1
    Reposition the README's opening paragraph to highlight AI Cloud

    Why:

    CURRENT
    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.
    COPY-PASTE FIX
    Cloudpods is a cloud-native open source unified multi/hybrid-cloud platform developed with Golang, offering a 'cloud on clouds' experience. It provides unified management for on-premise KVM/baremetals and resources across multiple public cloud providers, alongside an **AI Cloud** platform for large language model (LLM) inference and AI container applications.
  • mediumtopics#2
    Add more specific AI-related topics

    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-inference, ai-platform, ai-workloads
  • mediumreadme#3
    Add a dedicated 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, such as "## Why Cloudpods Stands Out" or "## Key Differentiators", that explicitly articulates its unique combination of unified multi/hybrid-cloud management with a dedicated AI Cloud platform for LLM inference and AI workloads, distinguishing it from generic IaaS or baremetal tools.

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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenStack · recommended 2×
  2. ManageIQ/manageiq · recommended 1×
  3. hashicorp/terraform · recommended 1×
  4. ansible/ansible · recommended 1×
  5. CloudBolt · recommended 1×
  • CATEGORY QUERY
    How to unify management across on-premise KVM, baremetal, and multiple public cloud providers?
    you: not recommended
    AI recommended (in order):
    1. OpenStack
    2. Red Hat CloudForms (ManageIQ/manageiq)
    3. HashiCorp Terraform (hashicorp/terraform)
    4. Ansible (ansible/ansible)
    5. CloudBolt
    6. Nutanix Prism Central
    7. Nutanix Calm
    8. VMware vRealize Suite
    9. vRealize Automation
    10. vRealize Operations

    AI recommended 10 alternatives but never named yunionio/cloudpods. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source platform for private cloud AI workloads and baremetal provisioning.
    you: not recommended
    AI recommended (in order):
    1. OpenStack
    2. Ironic
    3. Kubernetes (kubernetes/kubernetes)
    4. Kubevirt (kubevirt/kubevirt)
    5. Metal³ (metal3-io/metal3)
    6. MAAS
    7. Proxmox VE
    8. Harvester (harvester/harvester)

    AI recommended 8 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 did not name yunionio/cloudpods — 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 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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yunionio/cloudpods — 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