ai-seo

Optimize content for citation by AI search engines and assistants.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/yo16/qr_code_create --skill ai-seo-yo16
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/yo16/qr_code_create/tree/main/.claude/skills/ai-seo
Command: npx skills add https://github.com/yo16/qr_code_create --skill ai-seo-yo16

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI-seo solves the problem of content not being cited or surfaced by AI assistants and AI search engines, helping content creators get their material cited as sources in AI-generated answers and AI Overviews.

Core Features & Use Cases

  • Structure for extractability: ensures definitions, step-by-step instructions, and tables are self-contained so AI systems can extract key claims without surrounding context.
  • Authority signals: emphasizes explicit citations, statistics with sources, expert quotes, and robust schema markup to boost credibility and citation potential.
  • Presence optimization: focuses on AI platform coverage (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, Copilot), robots.txt accessibility, and machine-readable data to improve discoverability.
  • Use Case: a blog post on AI ethics can be structured with a clear definition block, an FAQ, and a statistics section with sources to maximize AI citation probability.

Quick Start

Ask it to optimize your content for AI citations and AI Overviews.

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 AI citations in search engines like ChatGPT and Perplexity?

To optimize content for AI citations, you must enforce structure, authoritative signaling, and open access practices. This involves creating self-contained definitions, adding robust schema markup, and ensuring robots.txt grants AI bots accessibility.

What is AI SEO and how does it help my pages surface in Google AI Overviews?

AI SEO is the practice of structuring content with clear definitions, step-by-step instructions, and structured data so AI search engines can easily extract key claims. This maximizes your content's visibility in AI-generated answers.

How do I structure blog posts so AI assistants can easily extract information?

Structure blog posts by making definitions, step-by-step instructions, and tables self-contained so AI systems can extract key claims without surrounding context. Add explicit citations, statistics with sources, and expert quotes to boost credibility.

Does schema markup improve the chances of my content being cited by Claude and Gemini?

Yes, schema markup acts as an authority signal that boosts credibility and citation potential. Machine-readable structured data helps AI platforms like Claude and Gemini parse your material and surface it as a source in generated answers.

What is the best way to make my product pages machine-readable for AI search platforms?

The best way to make product pages machine-readable is to combine structured data, explicit statistics with sources, and open access practices. Ensuring AI bot accessibility in robots.txt allows platforms to discover and cite your pages.

Why does my documentation not appear in AI-generated answers despite having good content?

Documentation may not appear in AI-generated answers if it lacks self-contained structure, authoritative signaling, or machine-readable data. Without clear definitions, schema markup, and AI bot accessibility, systems cannot extract and cite your material.