RRepoGEO

REPOGEO REPORT · LITE

intellectronica/ruler

Default branch main · commit 824d1193 · scanned 6/25/2026, 3:37:07 AM

GitHub: 2,773 stars · 150 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /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
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 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
    Update the GitHub "About" description for clarity

    Why:

    CURRENT
    Ruler — apply the same rules to all coding agents
    COPY-PASTE FIX
    Centralize and enforce consistent instructions across all your AI coding assistants (Copilot, Claude, Cursor, Aider, etc.) to streamline development workflows.
  • highreadme#2
    Add a concise problem statement immediately after the README H1

    Why:

    COPY-PASTE FIX
    Ruler centralizes and enforces consistent instructions across all your AI coding assistants (like GitHub Copilot, Claude, Cursor, and Aider), eliminating inconsistent guidance and duplicated effort in managing multiple configurations.
  • mediumtopics#3
    Expand topics to include problem-solving aspects and broader AI management

    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, ai-assistant-management, coding-agent-orchestration, consistent-ai-guidance, developer-workflow-automation

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
Cursor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. continue-dev/continue · recommended 1×
  3. OpenAI APIs · recommended 1×
  4. Anthropic APIs · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How to centralize instructions for various AI coding assistants across my development workflow?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue.dev (continue-dev/continue)
    3. OpenAI APIs
    4. Anthropic APIs
    5. langchain (langchain-ai/langchain)
    6. LlamaIndex (run-llama/llama_index)
    7. GitHub Copilot
    8. ChatGPT
    9. Claude
    10. promptfoo (promptfoo/promptfoo)
    11. Jupyter Notebooks
    12. ObservableHQ

    AI recommended 12 alternatives but never named intellectronica/ruler. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a way to enforce consistent coding rules for all my AI pair programmers.
    you: not recommended
    AI recommended (in order):
    1. ESLint
    2. Prettier
    3. Black
    4. Flake8
    5. RuboCop
    6. ktlint
    7. SwiftLint

    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 did not name intellectronica/ruler — 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 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