RRepoGEO

REPOGEO REPORT · LITE

sanjeed5/awesome-cursor-rules-mdc

Default branch main · commit 8fbf2690 · scanned 6/23/2026, 7:12:57 AM

GitHub: 3,536 stars · 441 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
22 /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
1 / 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 sanjeed5/awesome-cursor-rules-mdc, 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
    Clarify the project's generative nature and 'MDC' in the README's opening

    Why:

    CURRENT
    # MDC Rules Generator

> **Disclaimer:** This project is not officially associated with or endorsed by Cursor. It is a community-driven initiative to enhance the Cursor experience.

This project generates Cursor MDC (Markdown Cursor) rule files from a structured JSON file containing library information. It uses Exa for semantic search and LLM (Gemini) for content generation.
    COPY-PASTE FIX
    # Cursor MDC (Markdown Cursor) Rules Generator

> **Disclaimer:** This project is not officially associated with or endorsed by Cursor. It is a community-driven initiative to enhance the Cursor experience.

This project automates the generation of Cursor MDC (Markdown Cursor) rule files. It takes structured library information, uses Exa for semantic web search, and leverages LLMs (like Gemini) to create detailed, structured configuration files for AI assistants.
  • hightopics#2
    Add relevant GitHub topics for better categorization

    Why:

    COPY-PASTE FIX
    ai-assistant, llm, code-generation, cursor-mdc, markdown-cursor, developer-tools, semantic-search, exa
  • mediumabout#3
    Update the GitHub repository description

    Why:

    CURRENT
    Curated list of awesome Cursor Rules .mdc files
    COPY-PASTE FIX
    Automates the generation of Cursor MDC (Markdown Cursor) rule files using LLMs and semantic search for AI assistant configuration.

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 sanjeed5/awesome-cursor-rules-mdc
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pydantic
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Pydantic · recommended 1×
  2. OpenAPI Generator · recommended 1×
  3. Jinja2 · recommended 1×
  4. Tree-sitter · recommended 1×
  5. DocFX · recommended 1×
  • CATEGORY QUERY
    How can I automate generating AI assistant configuration files for new libraries?
    you: not recommended
    AI recommended (in order):
    1. Pydantic
    2. OpenAPI Generator
    3. Jinja2
    4. Tree-sitter
    5. DocFX
    6. Sphinx

    AI recommended 6 alternatives but never named sanjeed5/awesome-cursor-rules-mdc. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create AI assistant knowledge bases from web search and LLMs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. You.com
    5. SerpAPI
    6. Google Search API
    7. Scrapy
    8. Pinecone
    9. Weaviate
    10. ChromaDB

    AI recommended 10 alternatives but never named sanjeed5/awesome-cursor-rules-mdc. 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 sanjeed5/awesome-cursor-rules-mdc?
    pass
    AI did not name sanjeed5/awesome-cursor-rules-mdc — 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 sanjeed5/awesome-cursor-rules-mdc in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sanjeed5/awesome-cursor-rules-mdc 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 sanjeed5/awesome-cursor-rules-mdc solve, and who is the primary audience?
    pass
    AI did not name sanjeed5/awesome-cursor-rules-mdc — 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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sanjeed5/awesome-cursor-rules-mdc — 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