seo-review

Audit web pages for crawlability, indexability, structured data, and AI search readiness.

2|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill seo-review-alex-voloshin-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-review
Source: https://github.com/alex-voloshin-dev/ai-skills/tree/main/.windsurf/skills/seo-review
Command: npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill seo-review-alex-voloshin-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the fragmentation of SEO efforts by providing a systematic, multi-layered audit process that ensures content is optimized for both human users and AI search engines.

Core Features & Use Cases

  • Technical SEO Audit: Validates crawlability, indexability, and structured data (JSON-LD) to ensure search engines can correctly interpret your site.
  • AI Search Readiness: Enforces GEO (Generative Engine Optimization) standards, including answer-first structures and entity clarity, to improve visibility in AI-driven search results.
  • Cross-Functional Workflow: Integrates with frontend, content, and devops roles to ensure audit findings are actionable and implemented correctly.

Quick Start

Run the seo-review skill on the current project to perform a full technical audit and generate an optimization report.

Frequently Asked Questions about seo-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform a technical SEO audit for AI search readiness?

An SEO audit for AI search readiness validates crawlability, indexability, structured data, and Core Web Vitals to ensure content meets generative engine optimization standards. It systematically checks semantic HTML structure and entity clarity for high search visibility.

What is generative engine optimization and how does it impact content optimization?

Generative engine optimization (GEO) is the process of structuring content with answer-first formats and entity clarity so AI search engines can correctly interpret and surface it. It ensures your public-facing pages satisfy the technical requirements of AI-driven search results.

How do I validate structured data and JSON-LD for indexability?

Validating structured data and JSON-LD involves a systematic audit of your site's semantic HTML structure to ensure search engines can correctly interpret page entities. This process checks crawlability and indexability to maintain high search visibility.

Can I use this SEO audit on documentation sites to improve Core Web Vitals?

Yes, the SEO audit applies to public-facing web pages and documentation sites requiring high search visibility. It evaluates Core Web Vitals performance and technical SEO factors to ensure your documentation meets search engine and AI search standards.

What's the best way to optimize web pages for both human users and AI search engines?

The best way is a multi-layered audit process that integrates frontend, content, and devops workflows to check technical SEO and AI search readiness. This ensures content optimization satisfies both human user experience and generative engine standards.

Why does my site need structured data and answer-first content for AI search?

Your site needs structured data and answer-first content because AI search engines rely on semantic HTML structure and entity clarity to interpret pages. Without these generative engine optimization standards, your content visibility in AI-driven search results drops.