REPOGEO REPORT · LITE

k8sgpt-ai/k8sgpt

Default branch main · commit 96523ee0 · scanned 6/27/2026, 3:41:14 AM

GitHub: 7,927 stars · 1,013 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

33 /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

2 / 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 k8sgpt-ai/k8sgpt, 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 README opening to clarify AI-powered diagnostic purpose

Why:

CURRENT

`k8sgpt` is a tool for scanning your Kubernetes clusters, diagnosing, and triaging issues in simple English.

COPY-PASTE FIX

`k8sgpt` is an AI-powered diagnostic tool that scans your Kubernetes clusters, interprets complex issues, and provides human-readable explanations and actionable solutions. Unlike traditional monitoring, k8sgpt leverages AI to triage problems in simple English.

mediumcomparison#2

Add a 'Why k8sgpt?' section to the README highlighting differentiators

Why:

COPY-PASTE FIX

## Why k8sgpt? (Differentiators)

k8sgpt stands apart from traditional Kubernetes monitoring and log analysis tools by leveraging advanced AI to not just present data, but to *interpret* it. While other tools might show you raw events or metrics, k8sgpt provides human-readable explanations of issues, suggests concrete solutions, and integrates directly with various LLM backends. This focus on AI-driven diagnostics and actionable insights makes it a powerful complement, not a replacement, for your existing observability stack.

mediumtopics#3

Add more specific topics for AI-driven Kubernetes diagnostics

Why:

CURRENT

ai, devops, kubernetes, llama, openai, sre, tooling

COPY-PASTE FIX

ai, devops, kubernetes, llama, openai, sre, tooling, kubernetes-diagnostics, ai-troubleshooting, llm-ops, cluster-health

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 k8sgpt-ai/k8sgpt

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Datadog

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Datadog · recommended 2×
Dynatrace · recommended 2×
New Relic · recommended 2×
Splunk · recommended 2×
Grafana Labs · recommended 1×

CATEGORY QUERY
How can I use AI to diagnose and troubleshoot problems in my Kubernetes cluster?
you: not recommended
AI recommended (in order):
1. Datadog
2. Dynatrace
3. New Relic
4. Splunk
5. Grafana Labs
6. Prometheus
7. spaCy
8. NLTK
9. Hugging Face Transformers
10. Fluentd
11. Logstash
AI recommended 11 alternatives but never named k8sgpt-ai/k8sgpt. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Tool to simplify complex Kubernetes event logs and provide actionable SRE insights?
you: not recommended
AI recommended (in order):
1. Datadog
2. New Relic
3. Splunk
4. Loki (grafana/loki)
5. Promtail (grafana/promtail)
6. Grafana (grafana/grafana)
7. Dynatrace
8. Sumo Logic
AI recommended 8 alternatives but never named k8sgpt-ai/k8sgpt. 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 k8sgpt-ai/k8sgpt?
pass
AI did not name k8sgpt-ai/k8sgpt — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts k8sgpt-ai/k8sgpt in production, what risks or prerequisites should they evaluate first?
pass
AI named k8sgpt-ai/k8sgpt 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 k8sgpt-ai/k8sgpt solve, and who is the primary audience?
pass
AI named k8sgpt-ai/k8sgpt 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 k8sgpt-ai/k8sgpt. 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)

[![RepoGEO](https://repogeo.com/badge/k8sgpt-ai/k8sgpt.svg)](https://repogeo.com/en/r/k8sgpt-ai/k8sgpt)

HTML

<a href="https://repogeo.com/en/r/k8sgpt-ai/k8sgpt"><img src="https://repogeo.com/badge/k8sgpt-ai/k8sgpt.svg" alt="RepoGEO" /></a>

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k8sgpt-ai/k8sgpt — 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