RRepoGEO

REPOGEO REPORT · LITE

kubeflow/manifests

Default branch master · commit 1c956ecf · scanned 6/26/2026, 11:38:00 AM

GitHub: 1,028 stars · 1,065 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)

3 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 kubeflow/manifests, 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
    Strengthen README's opening to emphasize official, comprehensive deployment

    Why:

    CURRENT
    This repository helps you to install Kubeflow Platform in popular Kubernetes clusters such as Kind, Minikube, Rancher, EKS, AKS, and GKE.
    COPY-PASTE FIX
    This repository provides the **official and comprehensive manifests** for deploying the entire Kubeflow Platform on popular Kubernetes clusters (Kind, Minikube, Rancher, EKS, AKS, GKE). It includes all Kubeflow components (Pipelines, KServe, etc.), the Kubeflow Central Dashboard, and other applications that comprise the Kubeflow Platform, tailored for enterprise, security, and multi-tenancy requirements.
  • mediumabout#2
    Update the 'Description' field for clarity

    Why:

    CURRENT
    Kubeflow Community Distribution
    COPY-PASTE FIX
    Official manifests for deploying the complete Kubeflow Platform on Kubernetes, supporting enterprise, secure, and multi-tenant ML environments.
  • lowreadme#3
    Reinforce the 'official and integrated' differentiator in the README

    Why:

    COPY-PASTE FIX
    Consider adding a dedicated section or prominent callout, e.g., under 'Key Features' or 'Why use kubeflow/manifests?', stating: 'As the official and integrated deployment for the entire Kubeflow suite, `kubeflow/manifests` provides opinionated configurations for a comprehensive, end-to-end machine learning platform natively on Kubernetes.'

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 kubeflow/manifests
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. OpenShift AI · recommended 2×
  3. MLflow · recommended 2×
  4. Seldon Core · recommended 2×
  5. Pachyderm · recommended 1×
  • CATEGORY QUERY
    How to deploy a secure, multi-tenant machine learning platform on Kubernetes for enterprise?
    you: not recommended
    AI recommended (in order):
    1. Kubeflow
    2. OpenShift AI
    3. MLflow
    4. Seldon Core
    5. Pachyderm
    6. Domino Data Lab
    7. Valohai

    AI recommended 7 alternatives but never named kubeflow/manifests. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a complete end-to-end machine learning platform for Kubernetes cluster deployment.
    you: not recommended
    AI recommended (in order):
    1. Kubeflow
    2. MLflow
    3. OpenShift AI
    4. Seldon Core
    5. Charmed MLOps

    AI recommended 5 alternatives but never named kubeflow/manifests. 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 kubeflow/manifests?
    pass
    AI named kubeflow/manifests explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of kubeflow/manifests. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/kubeflow/manifests.svg)](https://repogeo.com/en/r/kubeflow/manifests)
HTML
<a href="https://repogeo.com/en/r/kubeflow/manifests"><img src="https://repogeo.com/badge/kubeflow/manifests.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

kubeflow/manifests — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite