RRepoGEO

REPOGEO REPORT · LITE

intellectronica/ruler

Default branch main · commit d4160cec · scanned 5/14/2026, 2:21:59 PM

GitHub: 2,693 stars · 142 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 intellectronica/ruler, 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
  • highabout#1
    Clarify the repository's "About" description

    Why:

    CURRENT
    Ruler — apply the same rules to all coding agents
    COPY-PASTE FIX
    Ruler: Centralize and standardize instructions for all your AI coding assistants (e.g., GitHub Copilot, Claude, Cursor).
  • hightopics#2
    Add topics related to prompt management and AI development workflow

    Why:

    CURRENT
    agents, ai, aider, claude-code, codex, cursor, github-copilot, vibe-coding, windsurf
    COPY-PASTE FIX
    agents, ai, aider, claude-code, codex, cursor, github-copilot, vibe-coding, windsurf, prompt-engineering, prompt-management, ai-workflow, developer-tools, llm-ops, ai-assistants-config
  • mediumreadme#3
    Add a "Comparison to Alternatives" section in the README

    Why:

    COPY-PASTE FIX
    Add a new section titled "Comparison to Alternatives" or "How Ruler Differs" that explicitly contrasts ruler with tools like PromptLayer (for general prompt management) and even generic documentation tools, emphasizing ruler's unique focus on AI coding assistant instructions and its lightweight, code-centric approach.

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 intellectronica/ruler
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PromptLayer
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PromptLayer · recommended 2×
  2. Confluence · recommended 1×
  3. Notion · recommended 1×
  4. SharePoint · recommended 1×
  5. Git · recommended 1×
  • CATEGORY QUERY
    How can I standardize instructions across different AI coding assistants for my team?
    you: not recommended
    AI recommended (in order):
    1. Confluence
    2. Notion
    3. SharePoint
    4. Git
    5. GitHub
    6. GitLab
    7. Bitbucket
    8. LangChain (langchain-ai/langchain)
    9. LlamaIndex (run-llama/llama_index)
    10. PromptLayer
    11. Vellum
    12. Humanloop
    13. Loom
    14. Microsoft Teams
    15. Slack

    AI recommended 15 alternatives but never named intellectronica/ruler. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help maintain consistent prompts for various AI development agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. PromptLayer
    3. Weights & Biases Prompts
    4. OpenAI Evals
    5. Jinja2
    6. Handlebars
    7. Liquid

    AI recommended 7 alternatives but never named intellectronica/ruler. 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 intellectronica/ruler?
    pass
    AI named intellectronica/ruler explicitly

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

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

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

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intellectronica/ruler — 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