ai-seo

Structure content into extractable blocks with cited sources for AI search systems.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/RebelHawk-TK/DeepThinkTrader --skill ai-seo-rebelhawk-tk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/RebelHawk-TK/DeepThinkTrader/tree/main/.agents/skills/ai-seo
Command: npx skills add https://github.com/RebelHawk-TK/DeepThinkTrader --skill ai-seo-rebelhawk-tk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI SEO helps content teams ensure their material is easily extractable, citable, and surfaced by AI search systems (AI Overviews, ChatGPT, Perplexity, Copilot) so that knowledge is trusted and discoverable across platforms.

Core Features & Use Cases

  • Structure for extractability: creates self-contained definitions, steps, FAQs, and comparison blocks that AI can pull directly.
  • Authority and credibility: integrates named sources, statistics, expert quotes, and clear author credentials to boost trust signals.
  • Presence and coverage: guides schema markup, robots.txt accessibility, and multi-platform presence to maximize citations across Google AI Overviews, ChatGPT, Perplexity, Claude, and Copilot.
  • Use Case: a marketing team publishes a blog post with a definitions block and FAQ, then checks AI Overviews visibility and updates content monthly.

Quick Start

Optimize a sample page for AI citations by adding structured data, authoritative sources, and a freshness signal.

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 citations in search overviews?

To optimize content for AI citations, structure your pages with self-contained definitions, steps, and FAQs so AI systems can extract direct answers. Add authoritative sources and schema markup to boost trust signals and visibility across AI search platforms.

What is the best way to structure content for AI search extraction?

The best way to structure content for AI search is to create clear, self-contained blocks like definitions, comparison tables, and FAQs. This ensures AI Overviews, ChatGPT, and Perplexity can easily parse and cite your material as direct answers.

Why does my website content not show up in ChatGPT or Perplexity answers?

Your content might not appear in ChatGPT or Perplexity answers because it lacks extractable structure, authoritative citations, or proper schema markup. AI systems prioritize content with clear definitions, expert quotes, and accessible robots.txt files for citation.

Does adding schema markup and structured data improve AI search visibility?

Yes, adding schema markup and structured data improves AI search visibility by making content easier for AI systems to parse. Combined with named sources and freshness signals, structured data helps platforms like Google AI Overviews and Copilot reliably cite your pages.

Can I use this approach to optimize product pages and documentation for AI Overviews?

Yes, you can optimize product pages and documentation for AI Overviews by applying the three pillars of Structure, Authority, and Presence. This involves adding extractable answer blocks, citing evidence with statistics, and updating content regularly for continuous citation readiness.

How often should I update content to maintain AI search citation readiness?

You should update content monthly to maintain AI search citation readiness. Regular updates provide freshness signals that AI systems use to evaluate relevance, ensuring your structured definitions and authoritative sources continue to surface in AI Overviews and chat platforms.