RRepoGEO

REPOGEO REPORT · LITE

kubernetes-sigs/lws

Default branch main · commit 1d9204a2 · scanned 6/2/2026, 10:06:58 PM

GitHub: 730 stars · 150 forks

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 kubernetes-sigs/lws, 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
    Clarify the full project name and domain in the `about` description

    Why:

    CURRENT
    LeaderWorkerSet: An API for deploying a group of pods as a unit of replication
    COPY-PASTE FIX
    LeaderWorkerSet (LWS): A Kubernetes API for deploying sharded AI/ML inference workloads across multiple nodes as a unit of replication.
  • hightopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    llm-inference, sig-apps
    COPY-PASTE FIX
    kubernetes-api, llm-inference, distributed-ml, ai-ml-inference, workload-orchestration
  • mediumreadme#3
    Add a sentence to the README's opening to differentiate LWS from generic Kubernetes primitives

    Why:

    CURRENT
    LeaderWorkerSet (LWS): An API for deploying a group of pods as a unit of replication. It aims to address common deployment patterns of AI/ML inference workloads, especially multi-host inference workloads where the LLM will be sharded and run across multiple devices on multiple nodes.
    COPY-PASTE FIX
    LeaderWorkerSet (LWS): An API for deploying a group of pods as a unit of replication. Unlike generic Kubernetes primitives, LWS specifically addresses common deployment patterns of AI/ML inference workloads, especially multi-host inference workloads where the LLM will be sharded and run across multiple devices on multiple nodes.

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 kubernetes-sigs/lws
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
KServe
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. KServe · recommended 1×
  2. NVIDIA Triton Inference Server · recommended 1×
  3. Ray Serve · recommended 1×
  4. KubeRay · recommended 1×
  5. Seldon Core · recommended 1×
  • CATEGORY QUERY
    How to deploy and manage sharded LLM inference workloads across multiple Kubernetes nodes?
    you: not recommended
    AI recommended (in order):
    1. KServe
    2. NVIDIA Triton Inference Server
    3. Ray Serve
    4. KubeRay
    5. Seldon Core
    6. OpenVINO Model Server
    7. FastAPI
    8. Flask
    9. gRPC
    10. MPI
    11. Hugging Face TGI

    AI recommended 11 alternatives but never named kubernetes-sigs/lws. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Kubernetes API for deploying a group of pods as a single replication unit for AI/ML?
    you: not recommended
    AI recommended (in order):
    1. StatefulSet
    2. Argo Workflows
    3. Kubeflow
    4. MPIJob
    5. TFJob
    6. PyTorchJob
    7. RayJob/RayCluster
    8. Kube-batch
    9. Volcano
    10. Deployment
    11. Helm Charts

    AI recommended 11 alternatives but never named kubernetes-sigs/lws. 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 kubernetes-sigs/lws?
    pass
    AI named kubernetes-sigs/lws explicitly

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

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

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

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