seo-llm

Audit web content for SEO and AI-driven discovery using schema.org and meta tags.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/curphey/bosun --skill seo-llm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-llm
Source: https://github.com/curphey/bosun/tree/main/skills/seo-llm
Command: npx skills add https://github.com/curphey/bosun --skill seo-llm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Streamlines the optimization of web content for both traditional search engines and AI-driven discovery, reducing manual guesswork and improving visibility across SERPs and AI responses.

Core Features & Use Cases

  • Technical SEO checks: crawlability, indexability, performance.
  • Content structure validation: heading hierarchy, semantic HTML, and structured data with schema.org.
  • LLM readability optimization: explicit definitions, extractable content, and FAQ-style content for better AI extraction.
  • Use Case: When pages lack meta descriptions or structured data, or when content is hard to extract programmatically, this Skill guides systematic remediation to boost discoverability.

Quick Start

Run a full SEO/LLM audit on a target webpage to identify technical, structural, and AI-readability gaps.

Frequently Asked Questions about seo-llm

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

FAQPage Schema
How do I optimize web content for both traditional SEO and AI-driven discovery?

To optimize web content for SEO and AI-driven discovery, audit pages for missing meta descriptions, poor heading hierarchies, and absent structured data, then enforce schema.org, meta tags, and LLM readability standards.

What is LLM readability and how does it affect content discovery?

LLM readability ensures content is programmatically extractable by AI through explicit definitions and FAQ-style formatting, directly improving visibility in AI-driven search responses and discovery systems.

How do I add schema.org structured data to pages with missing meta descriptions?

Add schema.org structured data and meta descriptions by validating semantic structure, enforcing heading hierarchy, and applying explicit definitions to make content extractable for both search engines and LLMs.

Can I audit heading hierarchy and semantic HTML across common CMS platforms?

Yes, you can audit heading hierarchy and semantic HTML across common CMS platforms to validate content structure, identify missing structured data, and systematically remediate crawlability and indexability gaps.

Why does my web content fail AI extraction despite having valid meta tags?

Web content fails AI extraction when it lacks LLM readability features like explicit definitions and FAQ-style formatting, even with valid meta tags, because AI requires programmatically extractable semantic structure.