RRepoGEO

REPOGEO REPORT · LITE

collabnix/kubetools

Default branch master · commit edf96b75 · scanned 6/24/2026, 2:48:30 PM

GitHub: 3,441 stars · 623 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 collabnix/kubetools, 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 highlight `kubetools` as the definitive resource for Kubernetes tools

    Why:

    CURRENT
    Kubetools is built with a purpose to build a curated list of popular Kubernetes tools.
    COPY-PASTE FIX
    Kubetools is the definitive, actively maintained directory for discovering and evaluating the most popular and essential Kubernetes tools across all categories, from cluster management to security.
  • mediumtopics#2
    Add topics that describe the repo's nature as a curated list/directory

    Why:

    CURRENT
    grafana, hacktoberfest, hacktoberfest2020, helm, helmcharts, helmpack, iot, jenkins, k8s-cluster, kubernetes, kubernetes-cli, kubernetes-clusters, kubernetes-operational, kubernetes-resource, monitoring, monitoring-tool, prometheus, thanos
    COPY-PASTE FIX
    awesome-list, kubernetes-tools-list, curated-list, devops-tools, cloud-native-tools, grafana, hacktoberfest, hacktoberfest2020, helm, helmcharts, helmpack, iot, jenkins, k8s-cluster, kubernetes, kubernetes-cli, kubernetes-clusters, kubernetes-operational, kubernetes-resource, monitoring, monitoring-tool, prometheus, thanos
  • lowreadme#3
    Update or remove the future date in 'Top Featured Kubernetes Tools'

    Why:

    CURRENT
    Top Featured Kubernetes Tools( June 2026)
    COPY-PASTE FIX
    Top Featured Kubernetes Tools (June 2024)

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 collabnix/kubetools
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Prometheus
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Prometheus · recommended 2×
  2. Grafana · recommended 2×
  3. Helm · recommended 1×
  4. kubectl · recommended 1×
  5. Fluentd · recommended 1×
  • CATEGORY QUERY
    What are the essential tools for managing and operating a Kubernetes cluster effectively?
    you: not recommended
    AI recommended (in order):
    1. Helm
    2. Prometheus
    3. Grafana
    4. kubectl
    5. Fluentd
    6. Fluent Bit
    7. Argo CD
    8. Kyverno
    9. OPA Gatekeeper
    10. Kube-state-metrics

    AI recommended 10 alternatives but never named collabnix/kubetools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a comprehensive list of tools to monitor and troubleshoot Kubernetes clusters.
    you: not recommended
    AI recommended (in order):
    1. Prometheus
    2. Grafana
    3. Datadog
    4. New Relic
    5. Dynatrace
    6. Splunk Observability Cloud
    7. Thanos
    8. Elasticsearch
    9. Logstash
    10. Kibana

    AI recommended 10 alternatives but never named collabnix/kubetools. 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 collabnix/kubetools?
    pass
    AI named collabnix/kubetools explicitly

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

  • If a team adopts collabnix/kubetools in production, what risks or prerequisites should they evaluate first?
    pass
    AI named collabnix/kubetools 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 collabnix/kubetools solve, and who is the primary audience?
    pass
    AI named collabnix/kubetools 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 collabnix/kubetools. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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collabnix/kubetools — 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