RRepoGEO

REPOGEO REPORT · LITE

irgolic/AutoPR

Default branch main · commit a95671a2 · scanned 5/27/2026, 2:22:08 AM

GitHub: 1,372 stars · 91 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 irgolic/AutoPR, 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 to highlight pioneering role and current relevance

    Why:

    CURRENT
    As far as I am aware, AutoPR was the first bot to autonomously generate pull requests in response to issues. Like most demos back in the day, it worked about 20% of the time. Enjoy this brief glimpse into the past. 🜂
    COPY-PASTE FIX
    AutoPR was a pioneering project, the first bot to autonomously generate pull requests in response to issues, demonstrating a vision that influenced modern AI coding assistants and autonomous agents. While an early prototype, it showcased the potential for AI to automate code changes directly from issues.
  • mediumcomparison#2
    Add a 'Comparison to Modern Tools' section

    Why:

    COPY-PASTE FIX
    ## 💡 Comparison to Modern Tools

AutoPR pioneered the concept of an AI autonomously generating and submitting complete code changes as pull requests directly from GitHub issues. While modern tools like GitHub Copilot, CodiumAI, and SWE-agent offer advanced AI assistance and autonomous capabilities, AutoPR demonstrated this end-to-end workflow as an early prototype, influencing the development of today's sophisticated AI coding agents.
  • lowreadme#3
    Update 'Limitations' section to reflect current project status

    Why:

    CURRENT
    This GitHub Action was **in development**, and in **alpha release**.
    COPY-PASTE FIX
    This GitHub Action was an early prototype and proof-of-concept, demonstrating the potential of autonomous AI agents. It is no longer actively maintained but remains a valuable historical reference for the evolution of AI-driven development.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 irgolic/AutoPR
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 2×
  3. GitHub Actions · recommended 1×
  4. actions/checkout · recommended 1×
  5. peter-evans/create-pull-request · recommended 1×
  • CATEGORY QUERY
    How can I automate generating code changes and pull requests from GitHub issues?
    you: not recommended
    AI recommended (in order):
    1. GitHub Actions
    2. actions/checkout (actions/checkout)
    3. peter-evans/create-pull-request (peter-evans/create-pull-request)
    4. OpenAI API
    5. Zapier
    6. Make
    7. Google Gemini API
    8. Mend Renovate
    9. Dependabot
    10. Octokit.js
    11. PyGithub
    12. CodiumAI
    13. GitHub Copilot

    AI recommended 13 alternatives but never named irgolic/AutoPR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools use AI to autonomously fix bugs or implement features via pull requests?
    you: not recommended
    AI recommended (in order):
    1. CodiumAI
    2. GitHub Copilot
    3. Cursor
    4. Aider
    5. SWE-agent
    6. OpenDevin

    AI recommended 6 alternatives but never named irgolic/AutoPR. 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 irgolic/AutoPR?
    pass
    AI named irgolic/AutoPR explicitly

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

  • If a team adopts irgolic/AutoPR in production, what risks or prerequisites should they evaluate first?
    pass
    AI named irgolic/AutoPR 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 irgolic/AutoPR solve, and who is the primary audience?
    pass
    AI named irgolic/AutoPR 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 irgolic/AutoPR. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/irgolic/AutoPR.svg)](https://repogeo.com/en/r/irgolic/AutoPR)
HTML
<a href="https://repogeo.com/en/r/irgolic/AutoPR"><img src="https://repogeo.com/badge/irgolic/AutoPR.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

irgolic/AutoPR — 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
irgolic/AutoPR — RepoGEO report