ai-seo

Optimize web content for extraction and citation by AI search engines.

2|Updated Jul 22, 2026
One-click install
npx skills add https://github.com/0xUrsanomics/utopia-os --skill ai-seo-0xursanomics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/0xUrsanomics/utopia-os/tree/main/skills-shared/ai-seo
Command: npx skills add https://github.com/0xUrsanomics/utopia-os --skill ai-seo-0xursanomics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the visibility gap between traditional SEO and generative AI search, ensuring your content is extracted, quoted, and cited by platforms like ChatGPT, Perplexity, and Google AI Overviews.

Core Features & Use Cases

  • Visibility Auditing: Maps your current presence across AI search platforms and identifies crawlability issues.
  • Content Restructuring: Provides specific patterns like definition blocks, comparison tables, and FAQ schemas to make your content extractable by LLMs.
  • Monitoring: Tracks citation performance and identifies when competitors take your spot in AI-generated answers.

Quick Start

Run the ai-seo skill to audit the current visibility of your domain and identify which AI bots are blocked in your robots.txt file.

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 engine citations in ChatGPT and Perplexity?

To optimize content for AI search engine citations, restructure your web pages using definition blocks, comparison tables, and FAQ schema markup so LLMs can easily extract and quote your information.

What is generative AI search visibility and why does traditional SEO not cover it?

Generative AI search visibility ensures your content is extracted and cited by LLMs, solving the gap left by traditional SEO which focuses on blue link rankings rather than appearing in AI-generated answers.

How do I audit my domain's visibility across generative AI search platforms?

You can audit your domain's AI search visibility by running a visibility audit to map your current presence across generative platforms and identify crawlability issues like blocked AI bots in your robots.txt file.

What content structure do LLMs prefer when generating search answers?

LLMs prefer structured content formats like explicit definitions, comparison tables, and schema markup, which allow generative AI search engines to reliably parse and extract your text for citations.

Can I track when competitors take my spot in AI-generated search answers?

Yes, you can monitor citation performance by tracking your presence in AI-generated answers over time, which identifies when competitors take your spot and helps adjust your content optimization strategy.

Does content optimization for generative search require specific schema markup?

Content optimization for generative search heavily relies on structural alignment with AI-preferred formats, specifically utilizing schema markup, definition blocks, and structured lists to make your data extractable.