RRepoGEO

REPOGEO REPORT · LITE

patched-codes/patchwork

Default branch main · commit 21948cbe · scanned 5/27/2026, 4:32:12 AM

GitHub: 1,558 stars · 102 forks

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 patched-codes/patchwork, 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 statement to clearly define the project

    Why:

    CURRENT
    Patchwork automates development gruntwork like PR reviews, bug fixing, security patching, and more using a self-hosted CLI agent and your preferred LLMs. Try the hosted version here.
    COPY-PASTE FIX
    Patchwork is an **agentic AI framework** for **enterprise workflow automation**, specifically designed to automate development gruntwork like PR reviews, bug fixing, and security patching. It leverages self-hosted CLI agents and your preferred LLMs to streamline your CI/CD pipelines.
  • hightopics#2
    Add more specific AI agent and security automation topics

    Why:

    CURRENT
    automation, codereview, devops, devtools, hacktoberfest, llms, workflows
    COPY-PASTE FIX
    automation, codereview, devops, devtools, hacktoberfest, llms, workflows, ai-agents, ci-cd, security-automation, code-review-automation, llm-ops
  • mediumreadme#3
    Add a sentence to the README clarifying the project's name

    Why:

    COPY-PASTE FIX
    The name 'Patchwork' refers to the modular assembly of AI agents and workflows, not to traditional software patches or kernel development.

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 patched-codes/patchwork
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CodiumAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CodiumAI · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. DeepSource · recommended 1×
  4. SonarQube / SonarCloud · recommended 1×
  5. CodeGuru Reviewer · recommended 1×
  • CATEGORY QUERY
    How can I automate code review and bug fixing tasks using AI agents in my CI/CD pipeline?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. DeepSource
    3. SonarQube / SonarCloud
    4. CodeGuru Reviewer
    5. Snyk Code
    6. CodiumAI
    7. OpenAI API
    8. Llama 3

    AI recommended 8 alternatives but never named patched-codes/patchwork. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best AI-powered frameworks for automating developer workflows and security patching?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Business
    2. GitHub Advanced Security
    3. GitLab Ultimate
    4. Snyk
    5. DeepCode AI
    6. CodiumAI
    7. Mend.io

    AI recommended 7 alternatives but never named patched-codes/patchwork. 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 patched-codes/patchwork?
    pass
    AI named patched-codes/patchwork explicitly

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

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

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

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patched-codes/patchwork — 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