RRepoGEO

REPOGEO REPORT · LITE

hamelsmu/claude-review-loop

Default branch main · commit 244f4c7b · scanned 6/11/2026, 11:37:45 PM

GitHub: 677 stars · 43 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 hamelsmu/claude-review-loop, 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 H1 and opening sentence for clarity

    Why:

    CURRENT
    # review-loop

A Claude Code plugin that adds an automated code review loop to your workflow.
    COPY-PASTE FIX
    # claude-review-loop: Automated, Multi-Agent Code Review Loop for Claude Code

This Claude Code plugin provides an automated, iterative code review loop, leveraging parallel Codex sub-agents to give an independent second opinion on AI-generated code before you accept changes.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    claude, claude-code, code-review, ai-code-review, llm, generative-ai, code-plugin, codex, multi-agent, automated-review, iterative-development
  • highlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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 hamelsmu/claude-review-loop
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. GitHub Copilot · recommended 1×
  3. CodeGuru Reviewer · recommended 1×
  4. DeepCode AI · recommended 1×
  5. Codiga · recommended 1×
  • CATEGORY QUERY
    How can I automate code reviews with AI to get an independent second opinion?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. CodeGuru Reviewer
    3. DeepCode AI
    4. SonarQube
    5. Codiga
    6. Pylint
    7. ESLint
    8. RuboCop
    9. OpenAI API

    AI recommended 9 alternatives but never named hamelsmu/claude-review-loop. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide real-time AI code analysis for quality, security, and project structure?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. SonarLint
    3. SonarQube
    4. SonarCloud
    5. Snyk Code
    6. DeepSource
    7. CodeClimate Quality
    8. Pylint (pylint-dev/pylint)
    9. ESLint (eslint/eslint)
    10. RuboCop (rubocop/rubocop)

    AI recommended 10 alternatives but never named hamelsmu/claude-review-loop. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 hamelsmu/claude-review-loop?
    pass
    AI named hamelsmu/claude-review-loop explicitly

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

  • If a team adopts hamelsmu/claude-review-loop in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hamelsmu/claude-review-loop 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 hamelsmu/claude-review-loop solve, and who is the primary audience?
    pass
    AI did not name hamelsmu/claude-review-loop — 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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  • Brand-free category queries5 vs 2 in Lite
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