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ai-seo

Audit AI visibility and implement schema markup for AI answer engines.

Updated Feb 14, 2026
Search Tags:#content optimization#content audit#schema markup#ai citations#ai visibility#ai seo#answer engine optimization
One-click install
npx skills add https://github.com/lionheartapp/lionheart-ops --skill ai-seo-lionheartapp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/lionheartapp/lionheart-ops/tree/main/.claude/skills/ai-seo
Command: npx skills add https://github.com/lionheartapp/lionheart-ops --skill ai-seo-lionheartapp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Help teams make web content discoverable, extractable, and citable by AI answer engines so their pages are included as sources in AI-generated answers and overviews. This reduces lost organic visibility from zero-click AI summaries and increases referral traffic from AI citations.

Core Features & Use Cases

  • AI Visibility Audit: Test queries across Google AI Overviews, ChatGPT, Perplexity, Gemini, and Copilot to see where your brand is cited and where it is missing.
  • Content Extractability: Provide templates and content patterns (definitions, step-by-step, comparison tables, FAQs) that make passages easy for LLMs to extract and cite.
  • Authority & Schema: Recommend citation-building tactics, statistics, expert attributions, and schema markup (Article, FAQPage, HowTo) to increase citation likelihood.
  • Monitoring & Remediation: Run robots.txt checks for AI bots, track citation share over time, and prioritize fixes for pages with high citation potential.
  • Use Case: Convert a competitive product page into an AI-citable resource by adding a clear definition block, comparison table, FAQ schema, and sourced statistics to win citations in Perplexity and ChatGPT.

Quick Start

Audit my top 10 priority queries for AI citation presence, check robots.txt for AI bots, and recommend three page-level changes to increase citation likelihood.

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 engines and get cited in AI overviews?▼

To optimize content for AI search engines, you must restructure pages into extractable blocks, implement schema markup, and build authority signals so LLMs can easily parse and cite your pages in AI-generated answers.

What is answer engine optimization and how does it differ from traditional SEO?▼

Answer engine optimization focuses on making content extractable and citable by AI platforms like Perplexity and ChatGPT, whereas traditional SEO targets ranking positions in standard search results pages.

How do I check if my site is visible in ChatGPT and Perplexity search results?▼

You can check AI visibility by running an audit across Google AI Overviews, ChatGPT, Perplexity, Gemini, and Copilot to track where your brand is actively cited versus missing from generated answers.

Does blocking AI bots in robots.txt affect my content's AI visibility and citation presence?▼

Yes, blocking AI bots in robots.txt prevents crawlers from indexing your pages, severely limiting your citation presence; you should run robots.txt checks to ensure proper bot access.

What schema markup increases the likelihood of getting cited by AI answer engines?▼

Implementing Article, FAQPage, and HowTo schema markup increases citation likelihood by providing structured data that AI answer engines can easily parse and extract as sourced content.

What content formats are most extractable for AI answer engines to pull citations from?▼

Highly extractable content formats include clear definition blocks, step-by-step instructions, comparison tables, and FAQs, which allow AI models to easily parse and reference your pages.

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