umutxyp/Seo-Promt-Master
๐ Google SEO's full docs as an AI prompt machine โ drop it into your AI assistant to map every public route, audit each page against Google's rules, and fix the gaps step by step.
What it solves
It automates the process of auditing and fixing a website's SEO (Search Engine Optimization) and GEO (Generative Engine Optimization) by turning an AI coding assistant into an autonomous auditor. Instead of manually following long guides, developers can use this toolkit to have an AI map their site's routes, check them against official Google rules, and apply fixes directly to the codebase.
How it works
The project provides a structured knowledge base of Google's SEO guidance and a multi-phase prompt workflow. When added to an AI coding agent (like Cursor or Claude Code), the agent follows a sequence of steps:
- Bootstrap: Detects the tech stack and loads the SEO knowledge base.
- Discover: Maps every public route of the site.
- Audit: Performs a 9-point check on each page (metadata, structured data, rendering, etc.) and assigns a deterministic SEO/GEO score.
- Prioritize: Creates a backlog of fixes, prioritizing infrastructure issues first.
- Fix & Verify: Applies the changes and verifies them through linting or building.
- Live Signals: Optionally cross-checks against production via MCP.
Who itโs for
Developers and site owners who want to ensure their codebase adheres to the latest Google SEO standards and AI crawler requirements without manually auditing every page.
Highlights
- Executable Workflow: Designed specifically for AI coding assistants to run autonomously on a codebase.
- Comprehensive Knowledge Base: Distilled from Google Search Central and web.dev, covering 2024-2026 updates.
- Industry Overlays: Includes 24 specific configurations for niches like e-commerce, SaaS, healthcare, and legal.
- Deterministic Scoring: Provides a 0-100 SEO and GEO score based on a strict rubric.
- AI-Ready: Specifically includes guidance for AI crawlers (GPTBot, PerplexityBot) and AI Overviews.