RRepoGEO

REPOGEO REPORT · LITE

villesau/ai-codereviewer

Default branch main · commit a9a064df · scanned 6/19/2026, 8:26:42 PM

GitHub: 1,028 stars · 869 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 villesau/ai-codereviewer, 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 paragraph to highlight core differentiators

    Why:

    CURRENT
    # AI Code Reviewer
    
    AI Code Reviewer is a GitHub Action that leverages OpenAI's GPT-4 API to provide intelligent feedback and suggestions on
    your pull requests. This powerful tool helps improve code quality and saves developers time by automating the code
    review process.
    COPY-PASTE FIX
    # AI Code Reviewer
    
    AI Code Reviewer is an **open-source GitHub Action** that provides **self-hosted, customizable AI-powered code review** for your pull requests. Leveraging OpenAI's GPT-4 API, it offers intelligent feedback and suggestions, empowering developers to improve code quality and automate the review process with full control.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/villesau/ai-codereviewer
  • lowtopics#3
    Add more specific topics to reinforce unique features

    Why:

    CURRENT
    ai, code-review, github-actions, openai
    COPY-PASTE FIX
    ai, code-review, github-actions, openai, pull-request-automation, customizable-ai

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 villesau/ai-codereviewer
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepSource
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepSource · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. CodeRabbit · recommended 1×
  4. Codiga · recommended 1×
  5. SonarQube / SonarCloud · recommended 1×
  • CATEGORY QUERY
    How to automate pull request feedback using an AI assistant in GitHub?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. CodeRabbit
    3. DeepSource
    4. Codiga
    5. SonarQube / SonarCloud
    6. Reviewdog
    7. OpenAI API

    AI recommended 7 alternatives but never named villesau/ai-codereviewer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide intelligent code suggestions and quality improvements for my GitHub PRs?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Pull Requests (Preview)
    2. DeepSource
    3. CodeClimate Quality
    4. SonarCloud
    5. Codacy
    6. LGTM (Looks Good To Me)

    AI recommended 6 alternatives but never named villesau/ai-codereviewer. 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 villesau/ai-codereviewer?
    pass
    AI did not name villesau/ai-codereviewer — 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 villesau/ai-codereviewer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named villesau/ai-codereviewer 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 villesau/ai-codereviewer solve, and who is the primary audience?
    pass
    AI named villesau/ai-codereviewer explicitly

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

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villesau/ai-codereviewer — 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