RRepoGEO

REPOGEO REPORT · LITE

weibaohui/k8m

Default branch main · commit 718e8949 · scanned 6/11/2026, 2:56:44 AM

GitHub: 830 stars · 148 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
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 weibaohui/k8m, 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 sentence to emphasize AI and multi-cluster features

    Why:

    CURRENT
    k8m 是一款AI驱动的 Mini Kubernetes AI Dashboard 轻量级控制台工具，专为简化集群管理设计。
    COPY-PASTE FIX
    **k8m** is a lightweight, cross-platform **AI-powered Mini Kubernetes Dashboard** that simplifies **multi-cluster management** with integrated **large language models (LLMs)** and **intelligent agents (MCP)** for smart analysis and real-time anomaly detection.
  • mediumtopics#2
    Add more specific AI and multi-cluster related topics

    Why:

    CURRENT
    2fa, ai, apigateway, chatgpt, dashboard, k8s, k8s-gpt, mcp, ollama, openai, openkruise
    COPY-PASTE FIX
    2fa, ai, apigateway, chatgpt, dashboard, k8s, k8s-gpt, mcp, ollama, openai, openkruise, llm, large-language-models, kubernetes-agent, ai-dashboard, multi-cluster-management
  • mediumreadme#3
    Add a 'Why K8M?' section to highlight unique differentiators against common alternatives

    Why:

    COPY-PASTE FIX
    ### Why K8M?
While tools like Lens and K9s offer excellent Kubernetes management, K8M uniquely integrates **AI-driven analysis, large language models (LLMs), and intelligent agents (MCP)** directly into a lightweight, cross-platform dashboard, specifically designed for simplified **multi-cluster operations** and smart automation.

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 weibaohui/k8m
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Lens
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Lens · recommended 2×
  2. KubeCost · recommended 1×
  3. Datadog · recommended 1×
  4. Dynatrace · recommended 1×
  5. New Relic One · recommended 1×
  • CATEGORY QUERY
    What are some AI-powered Kubernetes dashboards for simplified cluster management and operations?
    you: not recommended
    AI recommended (in order):
    1. Lens
    2. KubeCost
    3. Datadog
    4. Dynatrace
    5. New Relic One
    6. Grafana
    7. Prometheus
    8. Cortex
    9. Thanos
    10. Prophet
    11. scikit-learn
    12. Splunk Observability Cloud

    AI recommended 12 alternatives but never named weibaohui/k8m. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a lightweight, cross-platform Kubernetes management tool with integrated AI analysis and multi-cluster support.
    you: not recommended
    AI recommended (in order):
    1. Lens
    2. K9s
    3. Rancher Desktop
    4. OpenLens
    5. Kubernetes Dashboard
    6. Octant

    AI recommended 6 alternatives but never named weibaohui/k8m. 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 weibaohui/k8m?
    pass
    AI named weibaohui/k8m explicitly

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

  • If a team adopts weibaohui/k8m in production, what risks or prerequisites should they evaluate first?
    pass
    AI named weibaohui/k8m 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 weibaohui/k8m solve, and who is the primary audience?
    pass
    AI named weibaohui/k8m explicitly

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

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weibaohui/k8m — 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