RRepoGEO

REPOGEO REPORT · LITE

volcano-sh/volcano

Default branch master · commit d280b88a · scanned 5/24/2026, 9:26:07 PM

GitHub: 5,598 stars · 1,375 forks

AI VISIBILITY SCORE
87 /100
Healthy
Category recall
2 / 2
Avg rank #3.0 when recommended
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 volcano-sh/volcano, 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
  • mediumreadme#1
    Emphasize advanced scheduling features in the README's opening sentence

    Why:

    CURRENT
    Volcano is a Kubernetes-native batch scheduling system, extending and enhancing the capabilities of the standard kube-scheduler. It provides a comprehensive set of features specifically designed to manage and optimize various batch and elastic workloads...
    COPY-PASTE FIX
    Volcano is a Kubernetes-native batch scheduling system that provides advanced, job-level scheduling policies, including gang scheduling, to optimize complex, high-performance batch and elastic workloads such as AI/ML, HPC, and Big Data applications.
  • lowreadme#2
    Add a dedicated 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features
    
    *   **Gang Scheduling:** Ensures all interdependent pods for a job are scheduled together or none are.
    *   **Job Preemption:** Allows higher-priority jobs to preempt lower-priority ones.
    *   **Resource Reservation:** Guarantees resources for critical jobs.
    *   **Queue Management:** Organizes and prioritizes jobs efficiently.
    *   **Elastic Workload Support:** Dynamically scales resources for AI/ML, HPC, and Big Data applications.
  • lowcomparison#3
    Create a 'Comparison with Alternatives' section in the README or a linked document

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives
    
    Volcano differentiates itself from general-purpose workflow engines like Argo Workflows and Kubeflow Pipelines by focusing specifically on advanced batch scheduling policies for tightly coupled, high-performance workloads. Unlike simpler Kubernetes Jobs/CronJobs or Kueue, Volcano offers features like gang scheduling, job preemption, and fine-grained resource management essential for AI/ML, HPC, and Big Data. While Slurm is a powerful HPC scheduler, Volcano provides a Kubernetes-native solution, integrating seamlessly with the cloud-native 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
2 / 2
100% of queries surface volcano-sh/volcano
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
18%
Of all named tools, what % are you?
Top rival
Argo Workflows
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Argo Workflows · recommended 2×
  2. Kubeflow Pipelines · recommended 1×
  3. KubeFlow Training Operator · recommended 1×
  4. Kueue · recommended 1×
  5. Ray · recommended 1×
  • CATEGORY QUERY
    What are the best Kubernetes-native solutions for managing machine learning batch jobs?
    you: #4
    AI recommended (in order):
    1. Kubeflow Pipelines
    2. Argo Workflows
    3. KubeFlow Training Operator
    4. Volcano ← you
    5. Kueue
    6. Ray
    Show full AI answer
  • CATEGORY QUERY
    Looking for a robust job scheduler to handle high-performance computing on Kubernetes.
    you: #2
    AI recommended (in order):
    1. Slurm
    2. Volcano ← you
    3. Kubernetes Jobs/CronJobs
    4. Argo Workflows
    5. Flux Framework
    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 volcano-sh/volcano?
    pass
    AI named volcano-sh/volcano explicitly

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

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