RRepoGEO

REPOGEO REPORT · LITE

ray-project/kuberay

Default branch master · commit 798089ce · scanned 5/27/2026, 5:31:57 PM

GitHub: 2,511 stars · 767 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 ray-project/kuberay, 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 statement to clarify its role in distributed AI/ML workloads

    Why:

    CURRENT
    KubeRay is a powerful, open-source Kubernetes operator that simplifies the deployment and management of Ray applications on Kubernetes.
    COPY-PASTE FIX
    KubeRay is the official, open-source Kubernetes operator that simplifies the deployment and management of Ray applications on Kubernetes, enabling MLOps engineers and ML practitioners to efficiently run distributed AI/ML workloads.
  • mediumhomepage#2
    Add the official project homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://ray-project.github.io/kuberay/
  • lowtopics#3
    Expand repository topics with more specific MLOps and AI orchestration terms

    Why:

    CURRENT
    apache, deep-learning, kubernetes, machine-learning, ray
    COPY-PASTE FIX
    apache, deep-learning, kubernetes, machine-learning, ray, mlops, ai-orchestration, distributed-ai, distributed-ml

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 ray-project/kuberay
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kubeflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kubeflow · recommended 2×
  2. Argo Workflows · recommended 2×
  3. KServe · recommended 1×
  4. Ray on Kubernetes · recommended 1×
  5. MLRun · recommended 1×
  • CATEGORY QUERY
    How to deploy and manage distributed machine learning applications on Kubernetes?
    you: not recommended
    AI recommended (in order):
    1. Kubeflow
    2. KServe
    3. Argo Workflows
    4. Ray on Kubernetes
    5. MLRun
    6. Seldon Core

    AI recommended 6 alternatives but never named ray-project/kuberay. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to orchestrate and scale distributed AI workloads on Kubernetes efficiently.
    you: not recommended
    AI recommended (in order):
    1. Kubeflow
    2. Ray
    3. Argo Workflows
    4. MLflow
    5. Volcano

    AI recommended 5 alternatives but never named ray-project/kuberay. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 ray-project/kuberay?
    pass
    AI named ray-project/kuberay explicitly

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

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