REPOGEO REPORT · LITE
RayFernando1337/llm-cursor-rules
Default branch main · commit d31bec10 · scanned 6/5/2026, 1:23:16 AM
GitHub: 888 stars · 136 forks
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 RayFernando1337/llm-cursor-rules, 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.
- highreadme#1Reposition the README H1 and opening sentence to clarify the repo's purpose
Why:
CURRENT# LLM Cursor Rules Welcome to my repository of go-to rules for using Cursor and LLMs in software development!
COPY-PASTE FIX# LLM Cursor Rules: A Guide to Best Practices for AI-Assisted Development This repository contains my opinionated rules and best practices for *developers* leveraging Large Language Models (LLMs) and the Cursor editor in software development workflows. It's a practical guide for *using* AI coding tools effectively, not an AI tool itself.
- mediumtopics#2Add relevant topics to improve categorization
Why:
COPY-PASTE FIXllm, large-language-models, cursor-ide, ai-coding, best-practices, software-development, swift, swiftui, nextjs, development-workflow, developer-tools, coding-guidelines
- lowhomepage#3Add a homepage link to your X (formerly Twitter) account
Why:
COPY-PASTE FIXhttps://x.com/RayFernando1337
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.
- GitHub Copilot · recommended 2×
- Tabnine · recommended 2×
- ChatGPT/GPT-4 · recommended 1×
- Cursor · recommended 1×
- vercel/ai · recommended 1×
- CATEGORY QUERYWhat are effective best practices for using AI coding tools in Next.js development?you: not recommendedAI recommended (in order):
- GitHub Copilot
- ChatGPT/GPT-4
- Tabnine
- Cursor
- Vercel AI SDK (vercel/ai)
- AWS CodeWhisperer
- Google Gemini Code Assist
AI recommended 7 alternatives but never named RayFernando1337/llm-cursor-rules. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking guidelines for integrating AI coding assistants into a modern software development workflow.you: not recommendedAI recommended (in order):
- GitHub Copilot
- Amazon CodeWhisperer
- DeepSource
- SonarQube
- CodiumAI
- Tabnine
- Mintlify
- Fig AI
AI recommended 8 alternatives but never named RayFernando1337/llm-cursor-rules. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 RayFernando1337/llm-cursor-rules?passAI named RayFernando1337/llm-cursor-rules explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts RayFernando1337/llm-cursor-rules in production, what risks or prerequisites should they evaluate first?passAI named RayFernando1337/llm-cursor-rules 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 RayFernando1337/llm-cursor-rules solve, and who is the primary audience?passAI named RayFernando1337/llm-cursor-rules explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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RayFernando1337/llm-cursor-rules — 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