RRepoGEO

REPOGEO REPORT · LITE

hyhmrright/brooks-lint

Default branch main · commit 8501ba44 · scanned 6/13/2026, 4:41:21 PM

GitHub: 1,033 stars · 48 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 hyhmrright/brooks-lint, 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
    Clarify the "Brooks" reference in the README's opening to prevent misinterpretation

    Why:

    CURRENT
    <h1 align="center">brooks-lint</h1>

<p align="center">
  <strong>AI code reviews grounded in twelve classic engineering books.<br>
  Consistent. Traceable. Actionable.</strong>
</p>
    COPY-PASTE FIX
    <h1 align="center">brooks-lint</h1>

<p align="center">
  <strong>AI code reviews grounded in the timeless wisdom of Frederick Brooks and twelve other classic engineering books.<br>
  Consistent. Traceable. Actionable.</strong>
</p>
  • mediumtopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    ai-code-review, architecture-review, auto-fix, claude-code-plugin, clean-architecture, code-health, code-quality, code-review, code-smells, codex-cli-plugin, developer-tools, gemini-cli-extension, github-actions, linting, llm, refactoring, software-design, software-engineering, tech-debt, test-quality
    COPY-PASTE FIX
    ai-code-review, architecture-review, auto-fix, claude-code-plugin, clean-architecture, code-health, code-quality, code-review, code-smells, codex-cli-plugin, developer-tools, gemini-cli-extension, github-actions, linting, llm, refactoring, software-design, software-engineering, tech-debt, test-quality, software-architecture-principles, design-patterns, engineering-best-practices, code-decay-diagnostics
  • lowcomparison#3
    Add a "Comparison to other tools" section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to other tools

Unlike traditional linters and code quality platforms (e.g., SonarQube, DeepSource) that focus on metrics like cyclomatic complexity or code duplication, brooks-lint diagnoses code against established software engineering principles from classic books. We provide actionable findings with direct citations, focusing on architectural health and decay risks rather than just surface-level issues.

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 hyhmrright/brooks-lint
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. SonarQube · recommended 2×
  3. CodeGuru Reviewer (AWS) · recommended 1×
  4. Codiga · recommended 1×
  5. Kiuwan · recommended 1×
  • CATEGORY QUERY
    How can I get AI-powered code reviews focused on software design principles and architectural health?
    you: not recommended
    AI recommended (in order):
    1. DeepSource
    2. SonarQube
    3. CodeGuru Reviewer (AWS)
    4. Codiga
    5. Kiuwan
    6. Semgrep

    AI recommended 6 alternatives but never named hyhmrright/brooks-lint. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide automated code quality analysis, identify tech debt, and offer auto-fix capabilities?
    you: not recommended
    AI recommended (in order):
    1. SonarQube
    2. DeepSource
    3. CodeClimate
    4. Snyk Code
    5. ESLint
    6. Black
    7. Prettier
    8. Codacy

    AI recommended 8 alternatives but never named hyhmrright/brooks-lint. 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 hyhmrright/brooks-lint?
    pass
    AI named hyhmrright/brooks-lint explicitly

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

  • If a team adopts hyhmrright/brooks-lint in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hyhmrright/brooks-lint 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 hyhmrright/brooks-lint solve, and who is the primary audience?
    pass
    AI named hyhmrright/brooks-lint explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite