ai-seo

Optimize web content with structured data for AI search citations.

4|3|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/shreyas-lyzr/marketing-agent --skill ai-seo-shreyas-lyzr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/shreyas-lyzr/marketing-agent/tree/main/skills/ai-seo
Command: npx skills add https://github.com/shreyas-lyzr/marketing-agent --skill ai-seo-shreyas-lyzr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI search and AI-citation pipelines struggle when content isn't structured for extraction or lacks credible sources. This Skill provides a framework to optimize content for AI Overviews and citations, improving discoverability and trust across platforms. It guides on structuring content, governance of sources, and implementing schema for AI-friendly results.

Core Features & Use Cases

  • Content structuring patterns (Definition blocks, HowTo steps, FAQ, comparisons) to enable direct extraction by AI.
  • Schema markup and author attribution to improve credibility and citation likelihood.
  • Platform-specific guidance for Google AI Overviews, ChatGPT, Perplexity, Copilot, and Claude, plus monitoring and maintenance workflows.

Quick Start

Provide a URL and target queries to optimize for AI citations.

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 Overviews and AI citations?

To optimize content for AI citations and AI Overviews, structure pages with definition blocks, HowTo steps, FAQ sections, schema markup, cited statistics with named sources, and author bios to maximize extraction likelihood and credibility.

What is the best way to structure blog posts for AI search platforms?

The best way to structure blog posts for AI search platforms is using definition blocks, HowTo steps, FAQ sections, and comparisons that enable direct extraction, paired with schema markup and cited statistics from named sources.

Does schema markup improve citation rates in Google AI Overviews and ChatGPT?

Yes, schema markup improves citation rates in Google AI Overviews, ChatGPT, Perplexity, Copilot, and Claude by making content easier to parse. FAQ and HowTo schemas combined with author attribution increase credibility and extraction likelihood.

Can I optimize product pages and help content for AI search visibility?

Yes, you can optimize product pages and help content for AI search visibility by applying structured data, extractable answer blocks, and reputable sources. This framework works across marketing sites to improve discoverability in AI answers.

Why does my content not get cited in AI answers even with good keywords?

Content often fails to get cited in AI answers when it lacks structured data for extraction or credible sources. AI-citation pipelines need clear headings, FAQ schema, cited statistics with named sources, and author bios to extract and trust information.

Do I need named sources and author bios to rank in AI search results?

Yes, named sources and author bios are needed to maximize AI citations. Cited statistics with named sources and author attribution improve content credibility, which AI search platforms use to determine citation likelihood and AI Overviews visibility.