seo-analyze

Analyze content files for SEO and AEO discoverability patterns.

178|268|Updated Sep 21, 2017
One-click install
npx skills add https://github.com/pulumi/docs --skill seo-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-analyze
Source: https://github.com/pulumi/docs/tree/main/.claude/commands/seo-analyze
Command: npx skills add https://github.com/pulumi/docs --skill seo-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps content creators optimize their articles, documentation, and landing pages for better visibility on search engines and AI answer engines, ensuring content is easily found and understood.

Core Features & Use Cases

  • SEO & AEO Evaluation: Analyzes content for crucial SEO (Search Engine Optimization) and AEO (Answer Engine Optimization) patterns.
  • Content Improvement: Provides actionable recommendations to enhance titles, meta descriptions, headings, and overall content structure for discoverability.
  • Use Case: Before publishing a new blog post about cloud-native development, use this Skill to review its SEO and AEO readiness, ensuring it ranks well and is picked up by AI assistants.

Quick Start

Analyze the SEO and AEO readiness of the file located at content/blog/2026/01/my-post/index.md.

Frequently Asked Questions about seo-analyze

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

FAQPage Schema
How do I optimize my content for AI answer engines?

Optimize content for AI answer engines (AEO) by evaluating text for quotable definitions, semantic chunking, and citable claims. This ensures AI assistants can easily parse, understand, and reference your material when generating answers.

What is the best way to check SEO readiness for a blog post?

Check SEO readiness by analyzing the blog post file for properly structured titles, meta descriptions, headings, and content hierarchy. This evaluation provides actionable recommendations to enhance overall search engine visibility before publishing.

Does AI answer engine optimization require semantic chunking?

Yes, semantic chunking is a core AEO pattern. Breaking content into logically structured, self-contained sections helps AI answer engines extract and cite specific claims and definitions accurately from your documentation or articles.

Can I analyze documentation files for discoverability before publishing?

Yes, you can analyze documentation files for discoverability before publishing. The tool evaluates file structures like titles, headings, and meta descriptions to provide actionable recommendations for improving search and AI visibility.

Why does my content need quotable definitions for search visibility?

Quotable definitions are needed for search visibility because they provide clear, self-contained answers that AI answer engines prefer to extract and cite. This AEO pattern increases the likelihood of your content appearing in generated responses.

What are the limitations of optimizing content for AI answer engines?

Limitations include the need to strictly adhere to specific AEO patterns like semantic chunking and citable claims. Without properly structured titles, headings, and quotable definitions, the analysis cannot generate effective discoverability recommendations.