umutxyp/Seo-Promt-Master

🔍 Google SEO's full docs as an AI prompt machine — 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It solves the problem of shallow, outdated, or non-executable SEO checklists. Instead of relying on generic advice, it provides a cited knowledge base of Google's official SEO rules and a set of tools that allow AI coding agents to actually audit a live server to find technical blockers that source code review alone cannot detect.

How it works

The project functions as an "AI skill" that can be installed into various coding agents (such as Claude Code, Cursor, and GitHub Copilot). It combines three components:

  1. Knowledge Base: A collection of distilled, cited documentation from Google Search Central and web.dev.
  2. Agent Workflow: A 5-phase process (Bootstrap, Discover, Audit, Prioritize, Fix & Verify) that guides the AI through detecting the tech stack, mapping routes, and applying fixes.
  3. Executable Tools: A Node.js auditor (seo-audit.mjs) and a shell-based smoke test (seo-smoke.sh) that perform live requests to check for issues like soft 404s, reciprocal hreflang errors, and streamed metadata.

Who it’s for

Developers and site owners who use AI coding agents and want to ensure their website's technical SEO foundation is sound and compliant with current Google standards.

Highlights

  • Agent Integration: Native installation scripts for Claude Code, Cursor, Gemini CLI, and GitHub Copilot.
  • Live Auditing: Detects "invisible" issues like soft 404s in Suspense boundaries and blocked render-critical paths.
  • Cited Truth: Forces the AI to use the provided documentation rather than relying on potentially outdated training data.
  • Deterministic Scoring: Provides a technical-readiness SEO and GEO score out of 100 based on a specific rubric.

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