RRepoGEO

REPOGEO REPORT · LITE

dyoshikawa/rulesync

Default branch main · commit 830a569b · scanned 6/24/2026, 5:17:38 AM

GitHub: 1,187 stars · 132 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
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 dyoshikawa/rulesync, 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 explicitly state its purpose and differentiate.

    Why:

    CURRENT
    A Node.js CLI tool that automatically generates configuration files for various AI development tools from unified AI rule files. Features selective generation, comprehensive import/export capabilities, and supports major AI development tools with rules, commands, MCP, ignore files, subagents and skills.
    COPY-PASTE FIX
    Rulesync is a Node.js CLI tool for **AI coding agents and AI development tools**. It automates the generation and synchronization of configuration files, rules, commands, MCP, ignore files, subagents, and skills from unified AI rule files, ensuring consistent behavior across your AI development ecosystem. **It is not a tool for managing AWS services or Gmail filters.**
  • mediumreadme#2
    Add a 'What Rulesync Is Not' section to the README.

    Why:

    COPY-PASTE FIX
    ## What Rulesync Is Not
Rulesync is **not** a tool for managing AWS cloud services (like Lambda, DynamoDB, or EC2) or for synchronizing Gmail filters. It is exclusively focused on configuration and rule management for AI coding agents and AI development tools.
  • mediumtopics#3
    Expand repository topics with more specific AI development terms.

    Why:

    CURRENT
    ai, ai-agents, ai-coding, llm, mcp, rules, skills
    COPY-PASTE FIX
    ai, ai-agents, ai-coding, llm, mcp, rules, skills, agent-configuration, ai-development, cli-tool, configuration-management

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 dyoshikawa/rulesync
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
YAML
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. YAML · recommended 1×
  2. pydantic/pydantic · recommended 1×
  3. TOML · recommended 1×
  4. JSON Schema · recommended 1×
  5. JSON · recommended 1×
  • CATEGORY QUERY
    How can I standardize configuration files for my AI coding agents?
    you: not recommended
    AI recommended (in order):
    1. YAML
    2. Pydantic (pydantic/pydantic)
    3. TOML
    4. JSON Schema
    5. JSON
    6. Hydra (facebookresearch/hydra)
    7. ConfigParser
    8. Dotenv
    9. python-dotenv (theskumar/python-dotenv)
    10. Zod (colinhacks/zod)

    AI recommended 10 alternatives but never named dyoshikawa/rulesync. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a CLI to manage and generate unified rules for multiple AI development tools.
    you: not recommended
    AI recommended (in order):
    1. Nx
    2. Bazel
    3. Make
    4. Task
    5. Poetry
    6. DVC

    AI recommended 6 alternatives but never named dyoshikawa/rulesync. 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 dyoshikawa/rulesync?
    pass
    AI named dyoshikawa/rulesync explicitly

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

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

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

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dyoshikawa/rulesync — 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