RRepoGEO

REPOGEO REPORT · LITE

kuafuai/DevOpsGPT

Default branch master · commit 8b5e1b48 · scanned 5/29/2026, 3:52:10 PM

GitHub: 5,959 stars · 725 forks

AI VISIBILITY SCORE
35 /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
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 kuafuai/DevOpsGPT, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumreadme#1
    Clarify the project's license directly in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under the terms specified in the LICENSE file. Please refer to the LICENSE file for full details on the applicable license(s).
  • mediumreadme#2
    Strengthen the README's introduction to emphasize 'multi-agent system' and 'full lifecycle'

    Why:

    CURRENT
    Welcome to the AI Driven Software Development Automation Solution, abbreviated as DevOpsGPT. We combine LLM (Large Language Model) with DevOps tools to convert natural language requirements into working software.
    COPY-PASTE FIX
    Welcome to DevOpsGPT, an AI-driven multi-agent system for comprehensive software development automation. This solution combines Large Language Models (LLMs) with robust DevOps tools to autonomously convert natural language requirements into working software, managing the entire development lifecycle from ideation to deployment.

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 kuafuai/DevOpsGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 2×
  2. smol-ai/gpt-engineer · recommended 1×
  3. deepwisdomai/metagpt · recommended 1×
  4. smol-ai/smol-developer · recommended 1×
  5. paul-gauthier/aider · recommended 1×
  • CATEGORY QUERY
    How can I automate software development from natural language requirements using AI agents?
    you: not recommended
    AI recommended (in order):
    1. GPT-Engineer (smol-ai/gpt-engineer)
    2. MetaGPT (deepwisdomai/metagpt)
    3. Smol-Developer (smol-ai/smol-developer)
    4. Aider (paul-gauthier/aider)
    5. Cursor
    6. GitHub Copilot Chat
    7. LangChain (langchain-ai/langchain)
    8. LlamaIndex (run-llama/llama_index)

    AI recommended 8 alternatives but never named kuafuai/DevOpsGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to generate and extend code from high-level requirements with AI.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot X
    2. Cursor
    3. Tabnine
    4. Replit AI
    5. Codeium
    6. Amazon CodeWhisperer

    AI recommended 6 alternatives but never named kuafuai/DevOpsGPT. 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 kuafuai/DevOpsGPT?
    pass
    AI named kuafuai/DevOpsGPT explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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HTML
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kuafuai/DevOpsGPT — 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