RRepoGEO

REPOGEO REPORT · LITE

botingw/rulebook-ai

Default branch main · commit 7bc8531c · scanned 6/11/2026, 11:08:37 PM

GitHub: 597 stars · 86 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 botingw/rulebook-ai, 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 sentence to emphasize AI coding assistant environment management

    Why:

    CURRENT
    `rulebook-ai` is a command-line tool for packaging and deploying consistent, expert environments—**rules, context, and tools**—to your favorite AI coding assistants.
    COPY-PASTE FIX
    `rulebook-ai` is the definitive **AI coding assistant environment manager**, a command-line tool for packaging and deploying consistent, expert rules, context, and tools to your favorite AI tools like GitHub Copilot, Cursor, and Claude Code.
  • mediumabout#2
    Refine the 'About' description for clarity and conciseness

    Why:

    CURRENT
    Elevate vibe coding to vibe engineering: Get consistent Github Copilot custom instructions, Cursor, Roo Code, Cline, Windsurf, Claude Code, Gemini Cli, Codex CLI, kilo code, warp custom rules via a universal, managed template. Features vibe coding memory bank & best practices for large codebases.
    COPY-PASTE FIX
    A universal environment manager for AI coding assistants. Standardize custom instructions, context, and rules for tools like GitHub Copilot, Cursor, and Claude Code, ensuring consistent 'vibe engineering' across your codebase.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/botingw/rulebook-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 botingw/rulebook-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAPI Specification
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAPI Specification · recommended 1×
  2. Swagger · recommended 1×
  3. JSON Schema · recommended 1×
  4. protocolbuffers/protobuf · recommended 1×
  5. grpc/grpc · recommended 1×
  • CATEGORY QUERY
    Need a way to standardize custom instructions for various code generation tools.
    you: not recommended
    AI recommended (in order):
    1. OpenAPI Specification
    2. Swagger
    3. JSON Schema
    4. Protocol Buffers (protocolbuffers/protobuf)
    5. gRPC (grpc/grpc)
    6. YAML
    7. CUE (cue-lang/cue)
    8. ANTLR (antlr/antlr4)
    9. Xtext (eclipse/xtext)

    AI recommended 9 alternatives but never named botingw/rulebook-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to provide persistent project context to multiple AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. Git
    2. Confluence
    3. Notion
    4. Obsidian
    5. Language Server Protocol (LSP)
    6. EditorConfig
    7. LangChain (langchain-ai/langchain)
    8. LlamaIndex (run-llama/llama_index)
    9. Cursor
    10. GitHub Copilot Chat
    11. Jira
    12. Asana
    13. Trello

    AI recommended 13 alternatives but never named botingw/rulebook-ai. 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 botingw/rulebook-ai?
    pass
    AI did not name botingw/rulebook-ai — 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 botingw/rulebook-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named botingw/rulebook-ai 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 botingw/rulebook-ai solve, and who is the primary audience?
    pass
    AI named botingw/rulebook-ai explicitly

    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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