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ai-seo

Optimize content structure and schema markup for AI assistant citations.

1.1k|396|Updated Mar 17, 2026
Search Tags:#content-optimization#citation#structured-data#schema-markup#ai-seo#ai-visibility#ai-overviews
One-click install
npx skills add https://github.com/LeoYeAI/openclaw-marketing-skills --skill ai-seo-leoyeai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/LeoYeAI/openclaw-marketing-skills/tree/main/skills/ai-seo
Command: npx skills add https://github.com/LeoYeAI/openclaw-marketing-skills --skill ai-seo-leoyeai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI search citations are inconsistent across platforms, making it hard for brands to be surfaced and cited by AI assistants in responses. This skill helps you structure and surface your content so AI systems can extract and cite it reliably.

Core Features & Use Cases

  • Builds AI-ready content structures (definition blocks, step-by-step blocks, FAQs, and comparison tables) to maximize extraction by AI assistants.
  • Strengthens authority with cited sources, quotes, statistics, and author credentials to improve citation rates across platforms (Google AI Overviews, ChatGPT, Perplexity, Copilot, Claude).
  • Provides a cross-platform optimization approach focusing on structure, schema markup, freshness, and third-party presence to boost AI visibility.
  • Typical use cases include securing AI citations for category-defining content, improving AI-based answer quality, and supporting evidence-based marketing pages.

Quick Start

Audit your top 10 queries and implement schema markup, named sources, and monthly content updates.

Frequently Asked Questions about ai-seo

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

FAQPage Schema
How do I get my content cited by AI search assistants like ChatGPT and Perplexity?▼

To get content cited by AI search, you must structure it using definition blocks, step-by-step blocks, and comparison tables, while strengthening authority with cited sources, quotes, and schema markup to maximize extraction.

What is the best way to optimize content for Google AI Overviews?▼

Optimizing for Google AI Overviews requires building AI-ready content structures with schema markup and named sources, ensuring regular freshness updates to adapt to platform-specific ranking and extraction patterns.

How do I structure content for AI search extraction?▼

Structure content for AI extraction by building definition blocks, step-by-step blocks, FAQs, and comparison tables, then strengthen authority by adding cited sources, quotes, statistics, and author credentials.

Does adding schema markup improve AI visibility across different platforms?▼

Adding schema markup improves AI visibility by providing structured data that helps AI systems reliably extract and cite your content across major platforms like Google AI Overviews, ChatGPT, and Claude.

How often should I monitor AI visibility and update my content?▼

You should monitor AI visibility monthly and adapt content regularly, implementing freshness updates and adjusting to platform-specific extraction patterns to maintain consistent citation rates.

Why are my AI search citations inconsistent across different platforms?▼

AI search citations are inconsistent because platforms vary in extraction patterns, requiring a cross-platform optimization approach focusing on content structure, schema markup, authority signals, and third-party presence.

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