ai-seo

Structure content with schema markup for AI search citation.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/Tahona-AI/website --skill ai-seo-tahona-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/Tahona-AI/website/tree/main/.agents/skills/ai-seo
Command: npx skills add https://github.com/Tahona-AI/website --skill ai-seo-tahona-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of making digital content discoverable, extractable, and citable by AI systems, enhancing AI-generated visibility and authority.

Core Features & Use Cases

  • AI Search Optimization: Structuring and enriching content to improve citation frequency in AI responses.
  • Content Structuring: Creating definitions, comparisons, FAQs, and data blocks that AI can easily extract.
  • Use Case: Optimize your technical articles so AI assistants like ChatGPT and Perplexity cite your pages when users ask related questions, increasing your brand's exposure in AI outputs.

Quick Start

Provide detailed guidance and schema markup instructions to optimize existing content for AI citation, and implement structured content patterns for answer engines.

Frequently Asked Questions about ai-seo

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

FAQPage Schema
How do I optimize my content for citations in AI search platforms like Perplexity and ChatGPT?

To optimize content for AI search citations, you must structure data with schema markup, use authoritative sourcing, and implement extractable formats like definitions and FAQs that answer engines can easily parse and reference.

What is AI search optimization and how does it differ from traditional SEO?

AI search optimization focuses on making content extractable and citable by answer engines rather than just ranking web pages, requiring structured formatting, freshness signals, and strategic presence optimization for AI systems.

How do I format technical articles so Google AI Overviews will extract and cite them?

Formatting technical articles for Google AI Overviews requires creating structured data blocks, clear definitions, and comparisons with proper schema markup and source citations to meet platform-specific extraction criteria.

What content structuring patterns maximize visibility in AI generated responses?

Content structuring patterns that maximize AI visibility include building definitions, comparisons, FAQs, and data blocks, enriched with schema markup and freshness signals to increase citation probability.

Does AI search optimization require specific schema markup to be effective?

Yes, implementing schema markup is essential for AI search optimization because it provides the structured data and source citations that answer engines rely on to extract and verify content for responses.

When should I update freshness signals for AI citation optimization?

Freshness signals should be updated whenever your content's data changes, as answer engines prioritize current information and authoritative sourcing when selecting pages to extract and cite in AI responses.