RRepoGEO

REPOGEO REPORT · LITE

sunmh207/AI-Codereview-Gitlab

Default branch main · commit e840fc88 · scanned 6/18/2026, 9:47:03 AM

GitHub: 1,726 stars · 379 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
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 README's opening to highlight unique value

    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
    本项目是一个**独立部署、支持多大模型（DeepSeek, OpenAI等）**的自动化代码审查工具，专为**GitLab**设计，并支持**GitHub/Gitea日报生成**。它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)，通过**可定制的审查风格**和**即时消息推送**（钉钉/企业微信/飞书），显著提升代码质量和开发效率，并提供**可视化Dashboard**。
  • mediumtopics#2
    Add more specific functional and integration topics

    Why:

    CURRENT
    ai, codereview, deepseek, gitlab, gpt, llm
    COPY-PASTE FIX
    ai, codereview, deepseek, gitlab, gpt, llm, code-quality, devops, ci-cd, docker, webhook, daily-report
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/sunmh207/AI-Codereview-Gitlab

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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitLab Duo Code Suggestions · recommended 2×
  2. GitHub Copilot for Pull Requests · recommended 1×
  3. CodeRabbit · recommended 1×
  4. DeepSource · recommended 1×
  5. OpenAI API · 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. GitHub Copilot for Pull Requests
    3. CodeRabbit
    4. DeepSource
    5. OpenAI API
    6. Google Gemini API

    AI recommended 6 alternatives but never named sunmh207/AI-Codereview-Gitlab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI assistant to enhance code quality and generate daily development reports for GitLab.
    you: not recommended
    AI recommended (in order):
    1. GitLab Duo Code Suggestions
    2. GitLab Duo Chat
    3. GitHub Copilot
    4. Tabnine
    5. Snyk Code
    6. CodeClimate
    7. SonarQube
    8. LinearB

    AI recommended 8 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?

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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