RRepoGEO

REPOGEO REPORT · LITE

sunmh207/AI-Codereview-Gitlab

Default branch main · commit b5e6645e · scanned 5/8/2026, 6:07:09 PM

GitHub: 1,663 stars · 364 forks

AI VISIBILITY SCORE
22 /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
1 / 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 sunmh207/AI-Codereview-Gitlab, 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 to highlight unique value proposition

    Why:

    CURRENT
    本项目是一个基于大模型的自动化代码审查工具，帮助开发团队在代码合并或提交时，快速进行智能化的审查(Code Review)，提升代码质量和开发效率。
    COPY-PASTE FIX
    AI-Codereview-Gitlab 是一个开源、自部署的自动化代码审查工具，专为 GitLab 团队设计，利用 DeepSeek、OpenAI 等大模型在 Merge Request 或 Push 时提供智能审查。它不仅支持钉钉/企业微信/飞书即时通知和可视化 Dashboard，更独创多种审查风格（专业、讽刺、绅士、幽默），帮助团队提升代码质量和开发效率。
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://sunmh207.github.io/AI-Codereview-Gitlab/ (or your preferred project documentation/landing page URL)
  • mediumreadme#3
    Add a 'Why Choose AI-Codereview-Gitlab?' section to the README

    Why:

    COPY-PASTE FIX
    ## 为什么选择 AI-Codereview-Gitlab？

- **开源与自部署：** 完全掌控您的代码审查流程和数据，无需依赖第三方SaaS服务。
- **多模型支持：** 灵活切换 DeepSeek、OpenAI、ZhipuAI、Anthropic、通义千问 和 Ollama 等主流大模型。
- **独创审查风格：** 提供专业、讽刺、绅士、幽默四种审查风格，让代码审查更具趣味性和针对性。
- **全面通知与报告：** 支持钉钉、企业微信、飞书即时推送，并自动生成 GitLab/GitHub/Gitea 日报，全面掌握团队动态。
- **可视化 Dashboard：** 直观展示所有 Code Review 记录、项目统计和开发者统计，数据驱动决策。

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 sunmh207/AI-Codereview-Gitlab
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitLab Duo Code Suggestions
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitLab Duo Code Suggestions · recommended 1×
  2. CodeGpt · recommended 1×
  3. Reviewdog · recommended 1×
  4. DeepSource · recommended 1×
  5. GitHub Copilot for Pull Requests · recommended 1×
  • CATEGORY QUERY
    How can I automate code reviews in GitLab using large language models?
    you: not recommended
    AI recommended (in order):
    1. GitLab Duo Code Suggestions
    2. CodeGpt
    3. Reviewdog
    4. DeepSource
    5. GitHub Copilot for Pull Requests
    6. Azure OpenAI
    7. AWS Bedrock
    8. Google Cloud Vertex AI

    AI recommended 8 alternatives but never named sunmh207/AI-Codereview-Gitlab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI code review tool with customizable styles and team notifications.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. CodeGuru Reviewer
    3. DeepCode AI (Snyk Code)
    4. SonarQube
    5. Codiga
    6. PullRequest

    AI recommended 6 alternatives but never named sunmh207/AI-Codereview-Gitlab. 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 sunmh207/AI-Codereview-Gitlab?
    pass
    AI did not name sunmh207/AI-Codereview-Gitlab — 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 sunmh207/AI-Codereview-Gitlab in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sunmh207/AI-Codereview-Gitlab 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 sunmh207/AI-Codereview-Gitlab solve, and who is the primary audience?
    pass
    AI did not name sunmh207/AI-Codereview-Gitlab — 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?

Embed your GEO score

Drop this badge into the README of sunmh207/AI-Codereview-Gitlab. 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/sunmh207/AI-Codereview-Gitlab.svg)](https://repogeo.com/en/r/sunmh207/AI-Codereview-Gitlab)
HTML
<a href="https://repogeo.com/en/r/sunmh207/AI-Codereview-Gitlab"><img src="https://repogeo.com/badge/sunmh207/AI-Codereview-Gitlab.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

sunmh207/AI-Codereview-Gitlab — 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