SEO Vibe Coding Knowledge Base

A comprehensive, LLM-friendly SEO knowledge base designed for vibe coding workflows. Each .md file contains principles, AI/LLM instructions, and practical examples you can feed directly into your coding sessions.

How to Use This Repo

1. Browse by topic — Navigate to the folder matching your SEO need.
2. Feed to your LLM — Copy the .md file contents into your AI coding assistant for context-aware SEO implementation.
3. Combine files — Stack multiple .md files together when your task spans several SEO disciplines.
4. Contribute — Add new patterns, examples, and edge cases as you discover them.

Structure

SEO/
├── Technical-SEO/       → Site architecture, crawling, performance, schema
├── On-Page-SEO/         → Keywords, intent, tags, internal links
├── Off-Page-SEO/        → Link building, PR, brand signals
├── Content-SEO/         → Authority, clusters, programmatic content
├── Local-SEO/           → GBP, citations, local pack
├── E-commerce-SEO/      → Product & category page optimization
├── International-SEO/   → Hreflang, geo-targeting, multi-region
├── Enterprise-SEO/      → Automation, governance, scale
├── AI-SEO/              → GEO, LLM visibility, AI search
└── Analytics/           → GA4, Search Console, measurement

Principles

• Every file is self-contained — it should make sense on its own.
• Every file is LLM-optimized — structured for AI consumption with clear instructions.
• Every file is actionable — includes real examples, not just theory.
• Every file follows the format: Principles → LLM Instructions → Examples.

Contributing

When adding or updating files:

• Keep the Principles → LLM Instructions → Examples format.
• Include code snippets where applicable (HTML, JSON-LD, config files).
• Add edge cases and common mistakes.
• Tag updates with the date and source.

By Ryan Lind, Assisted by Claude Code and Google Gemini.