RRepoGEO

REPOGEO REPORT · LITE

st-lzh/Wuhr-AI-ops

Default branch main · commit 891441ee · scanned 6/13/2026, 12:12:36 AM

GitHub: 554 stars · 71 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 st-lzh/Wuhr-AI-ops, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    aiops, kubernetes, linux, natural-language-processing, llm, devops, it-operations, monitoring, ci-cd, aio
  • highreadme#2
    Clarify the target infrastructure in the README's project introduction

    Why:

    CURRENT
    **Wuhr AI Ops** 是一个现代化的AI驱动智能运维管理平台，集成了多模态AI助手、实时监控、日志分析、CI/CD管理和用户权限管理等功能。平台通过人工智能技术简化复杂的运维任务，为运维团队提供一站式解决方案。
    COPY-PASTE FIX
    **Wuhr AI Ops** 是一个现代化的AI驱动智能运维管理平台，专为**Linux服务器和Kubernetes集群**设计，集成了多模态AI助手、实时监控、日志分析、CI/CD管理和用户权限管理等功能。平台通过人工智能技术简化复杂的运维任务，为运维团队提供一站式解决方案。
  • mediumlicense#3
    Clarify the existing license(s) in the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, e.g., "## 📄 许可协议\n本项目使用 [LICENSE 文件中指定的许可协议] (LICENSE)。请查阅 LICENSE 文件获取详细信息。" (This project uses the license(s) specified in the LICENSE file. Please refer to the LICENSE file for details.)

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 st-lzh/Wuhr-AI-ops
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 1×
  2. Claude 3 · recommended 1×
  3. Gemini Advanced · recommended 1×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How can I manage Linux servers and Kubernetes clusters using natural language AI?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Claude 3
    3. Gemini Advanced
    4. LangChain
    5. LlamaIndex
    6. KubeGPT
    7. K8sGPT
    8. Ansible
    9. Rasa
    10. Botpress
    11. Puppet
    12. Chef
    13. SaltStack
    14. Google Cloud's Duet AI
    15. AWS CodeWhisperer

    AI recommended 15 alternatives but never named st-lzh/Wuhr-AI-ops. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI-powered platform to streamline ops, monitoring, and CI/CD for my infrastructure.
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. Dynatrace
    3. New Relic
    4. Splunk Observability Cloud
    5. Grafana Cloud
    6. Honeycomb

    AI recommended 6 alternatives but never named st-lzh/Wuhr-AI-ops. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 st-lzh/Wuhr-AI-ops?
    pass
    AI named st-lzh/Wuhr-AI-ops explicitly

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

  • If a team adopts st-lzh/Wuhr-AI-ops in production, what risks or prerequisites should they evaluate first?
    pass
    AI named st-lzh/Wuhr-AI-ops 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 st-lzh/Wuhr-AI-ops solve, and who is the primary audience?
    pass
    AI did not name st-lzh/Wuhr-AI-ops — 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?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite