RRepoGEO

REPOGEO REPORT · LITE

fjb040911/ai-rules

Default branch main · commit 1d066261 · scanned 6/3/2026, 11:33:03 PM

GitHub: 589 stars · 12 forks

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 fjb040911/ai-rules, 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 paragraph to clarify purpose

    Why:

    CURRENT
    # AI-RULES
    
    AI-RULES is a rule-aware CLI for AI-assisted coding governance. It turns project rules in Markdown into structured rule metadata, lightweight local evidence, and deterministic audit/fix prompts so AI coding agents follow your architecture, design patterns, and UI standards more consistently.
    COPY-PASTE FIX
    # AI-RULES: Architectural Governance for AI Coding Assistants
    
    AI-RULES is a CLI-based governance framework designed to prevent "Architectural Decay" in AI-driven development. It enables engineering teams to enforce project-specific architectural rules, design patterns, and UI standards, ensuring AI coding agents (like Copilot, Cursor, or Windsurf) generate code that respects your repository's boundaries.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai-code-review, ai-coding, code-review, code-rules, repair-prompt
    COPY-PASTE FIX
    ai-code-governance, architectural-patterns, design-patterns, ai-agents, code-quality, cli-tool, developer-tools, code-standards, prompt-engineering, generative-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 fjb040911/ai-rules
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 Enterprise · recommended 1×
  3. OpenAI API · recommended 1×
  4. Azure OpenAI Service · recommended 1×
  5. Google Cloud Vertex AI · recommended 1×
  • CATEGORY QUERY
    How to ensure AI coding assistants follow project architecture and design patterns?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. OpenAI API
    3. Azure OpenAI Service
    4. Google Cloud Vertex AI
    5. Code Llama
    6. StarCoder2
    7. ollama (ollama/ollama)
    8. vLLM (vllm-project/vllm)
    9. IntelliJ IDEA
    10. VS Code (microsoft/vscode)
    11. GitHub Copilot
    12. Amazon CodeWhisperer
    13. DeepSource
    14. SonarQube
    15. Pylint (pylint-dev/pylint)

    AI recommended 15 alternatives but never named fjb040911/ai-rules. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps govern AI agent code generation against specific project rules?
    you: not recommended
    AI recommended (in order):
    1. Guardrails AI
    2. Pydantic
    3. LangChain
    4. LlamaIndex
    5. OpenAI Function Calling
    6. Semantic Kernel
    7. ESLint
    8. Black
    9. Flake8
    10. SonarQube

    AI recommended 10 alternatives but never named fjb040911/ai-rules. 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 fjb040911/ai-rules?
    pass
    AI named fjb040911/ai-rules explicitly

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

  • If a team adopts fjb040911/ai-rules in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fjb040911/ai-rules 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 fjb040911/ai-rules solve, and who is the primary audience?
    pass
    AI did not name fjb040911/ai-rules — 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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