ai-seo

Optimize content for AI search engines with schema markup and citations.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI-driven answers often overlook high-quality content or struggle to extract actionable insights. ai-seo provides a framework to make content discoverable, extractable, and citable by AI systems across Google AI Overviews, ChatGPT, Perplexity, Gemini, Copilot, and Claude.

Core Features & Use Cases

  • Structured content patterns (definition blocks, step-by-step, comparison tables, FAQs, statistic blocks) to improve extractability.
  • Platform-aware guidance for AI visibility (AI Overviews, ChatGPT, Perplexity, Copilot, Claude) and how to adjust content signals.
  • Content strategy guidance including schema markup, authoritative citations, freshness signals, and third-party presence to boost citations.

Quick Start

Create a clearly defined, self-contained AI-optimized page with structured data and cited sources, and update it monthly.

Frequently Asked Questions about ai-seo

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

FAQPage Schema
How do I optimize content for AI search engines like ChatGPT and Perplexity?

To optimize content for AI search engines, structure your pages with definition blocks, comparison tables, and FAQs to improve extractability. Applying schema markup and authoritative citations signals authoritativeness, making your content highly citable by AI assistants.

What makes content extractable by Google AI Overviews and Gemini?

Content extractability by Google AI Overviews and Gemini depends on structured patterns like step-by-step formats and statistic blocks. Adding schema markup and freshness signals ensures your content is easily parsed and surfaced as a direct citation source.

How do I format schema markup and structured data for AI citations?

Formatting schema markup for AI citations involves applying structured data patterns alongside authoritative references. Combining schema with clear comparison tables and definition blocks helps AI systems parse and verify your content for search engine visibility.

Does blog post structure affect visibility in AI assistant responses?

Blog post structure directly affects AI visibility because AI assistants prioritize extractable content. Using structured formats like statistic blocks and FAQs with regular monthly updates satisfies the presence and freshness requirements needed for citation.

What is the best way to get cited by AI Overviews and Copilot?

The best way to get cited by AI Overviews and Copilot is creating self-contained, AI-optimized pages with cited sources. Combining structured content, authoritative citations, and third-party presence signals boosts discovery across AI search platforms.

Do I need structured data to rank in AI-generated answers?

You need structured data to rank in AI-generated answers because it satisfies extractability and authoritativeness requirements. Without schema markup and structured patterns, AI systems struggle to parse your content and extract actionable insights for citations.