RRepoGEO

REPOGEO REPORT · LITE

AutoCodeRoverSG/auto-code-rover

Default branch main · commit 585d3e63 · scanned 5/19/2026, 7:32:15 AM

GitHub: 3,074 stars · 330 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 AutoCodeRoverSG/auto-code-rover, 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
  • highreadme#1
    Add a concise introductory paragraph to the README

    Why:

    CURRENT
    # AutoCodeRover: Autonomous Program Improvement
    
    <br>
    
    <p align="center">
      
    </p>
    
    <p align="center">
      <a href="https://arxiv.org/abs/2404.05427"><strong>ArXiv Paper</strong></a>
      &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
      <a href="https://autocoderover.dev/"><strong>Website</strong></a>
      &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
      <a href="https://discord.gg/ScXsdE49JY"><strong>Discord server</strong></a>
    </p>
    
    <br>
    
    <br>
    
    > [!NOTE]
    > This is a public version of the AutoCodeRover project. Check the latest results on our website.
    COPY-PASTE FIX
    # AutoCodeRover: Autonomous Program Improvement
    
    AutoCodeRover is a project structure-aware autonomous software engineer designed for autonomous program improvement. It has resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified, with each task costing less than $0.7.
    
    <br>
    
    <p align="center">
      
    </p>
    
    <p align="center">
      <a href="https://arxiv.org/abs/2404.05427"><strong>ArXiv Paper</strong></a>
      &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
      <a href="https://autocoderover.dev/"><strong>Website</strong></a>
      &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
      <a href="https://discord.gg/ScXsdE49JY"><strong>Discord server</strong></a>
    </p>
    
    <br>
    
    <br>
    
    > [!NOTE]
    > This is a public version of the AutoCodeRover project. Check the latest results on our website.
  • mediumhomepage#2
    Add the project homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://autocoderover.dev/

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 AutoCodeRoverSG/auto-code-rover
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SonarQube
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SonarQube · recommended 2×
  2. DeepSource · recommended 2×
  3. Snyk · recommended 1×
  4. Codacy · recommended 1×
  5. RefactorGPT · recommended 1×
  • CATEGORY QUERY
    How can I automate fixing bugs and improving code quality in large software projects?
    you: not recommended
    AI recommended (in order):
    1. SonarQube
    2. DeepSource
    3. Snyk
    4. Codacy
    5. RefactorGPT
    6. ESLint
    7. Black
    8. Prettier
    9. Dependabot
    10. Renovate

    AI recommended 10 alternatives but never named AutoCodeRoverSG/auto-code-rover. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can autonomously fix software bugs and make improvements with high accuracy?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. DeepSource
    3. Snyk Code
    4. SonarQube
    5. AWS CodeGuru Reviewer
    6. Pylint (pylint-dev/pylint)
    7. ESLint (eslint/eslint)
    8. RuboCop (rubocop/rubocop)
    9. IntelliJ IDEA
    10. VS Code (microsoft/vscode)

    AI recommended 10 alternatives but never named AutoCodeRoverSG/auto-code-rover. 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 AutoCodeRoverSG/auto-code-rover?
    pass
    AI did not name AutoCodeRoverSG/auto-code-rover — 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 AutoCodeRoverSG/auto-code-rover in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AutoCodeRoverSG/auto-code-rover 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 AutoCodeRoverSG/auto-code-rover solve, and who is the primary audience?
    pass
    AI named AutoCodeRoverSG/auto-code-rover explicitly

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

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AutoCodeRoverSG/auto-code-rover — 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