seo-llmeo

Analyzes web pages for SEO and LLM discoverability, generating llms.txt files and structured data.

3|2|Updated Mar 17, 2026

Search Tags:#content-optimization #seo #structured-data #llms-txt #meta-tags #llmeo

Ready to run

npx skills add https://github.com/broomva/skills --skill seo-llmeo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: seo-llmeo
Source: https://github.com/broomva/skills/tree/main/skills/publishing/seo-llmeo
Command: npx skills add https://github.com/broomva/skills --skill seo-llmeo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires content-creation, arcan-glass, and includes references (resource) components.

What problem does it solve?

This skill bridges the gap between traditional SEO and modern AI discoverability, ensuring your content ranks well on Google while remaining highly readable and citeable for LLMs.

Core Features & Use Cases

Comprehensive Audits: Analyze pages for SEO health, Core Web Vitals, and LLM-friendly signals like semantic headings and FAQ schema.
Automated Generation: Create site-wide llms.txt files, meta tags, and JSON-LD structured data with ease.
Use Case: Use this skill to audit a new landing page before publishing to ensure it meets both Google's ranking criteria and provides clear, structured data for AI answer engines.

Quick Start

Run the audit command on your target URL to receive a scored checklist of SEO and LLMEO improvements.

Frequently Asked Questions about seo-llmeo

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

FAQPage Schema

How do I optimize content for both search engines and LLM discoverability?▼

Bridging traditional SEO and LLM discoverability requires analyzing web pages for ranking signals like meta tags and Core Web Vitals, while also generating LLM-friendly signals such as semantic headings and structured data to ensure content ranks well and remains citeable by AI engines.

What is an llms.txt file and when do I need to generate one for my site?▼

An llms.txt file enhances content visibility for AI answer engines by providing clear, structured site-wide data. You need to generate one when optimizing web pages to ensure they are highly readable and citeable by large language models.

How do I audit a web page for SEO health and Core Web Vitals before publishing?▼

Run a site-wide audit on your target URL to receive a scored checklist evaluating SEO health and LLMEO improvements. This validates technical requirements including meta tags, semantic heading hierarchies, and Core Web Vitals to ensure landing pages meet Google's ranking criteria.

Can I automatically generate JSON-LD structured data and meta tags for my web pages?▼

Yes, you can automatically generate site-wide llms.txt files, meta tags, and JSON-LD structured data. This automated generation provides clear, structured data that improves content visibility for both traditional search engines and AI answer engines.

Does this approach support validating semantic heading hierarchies and FAQ schema?▼

Yes, comprehensive audits analyze pages for SEO health, Core Web Vitals, and LLM-friendly signals like semantic heading hierarchies and FAQ schema. This validates that your content provides clear structure for AI answer engines to parse.