ai-seo

Audit web pages for AI search visibility and citation readiness.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/lofty-thoughts/botdaddy --skill ai-seo-lofty-thoughts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/lofty-thoughts/botdaddy/tree/main/seed/skills/ai-seo
Command: npx skills add https://github.com/lofty-thoughts/botdaddy --skill ai-seo-lofty-thoughts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Help websites and content teams make pages discoverable, extractable, and citable by AI answer engines (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, Copilot) so their content is more frequently used as a source in AI-generated answers.

Core Features & Use Cases

  • AI visibility audit: Check AI presence for target queries across major platforms and identify citation gaps.
  • Extractability & structure: Convert sections into self-contained answer blocks, FAQ/HowTo patterns, comparison tables, and statistic/quote blocks that AI systems can easily extract.
  • Authority & schema: Recommend author attribution, cited sources, freshness signals, and JSON-LD schemas (Article, FAQPage, HowTo, Product) to improve citation likelihood.
  • Monitoring & platform tactics: Track citation share, bots/robots.txt checks, and platform-specific ranking factors for Google, ChatGPT, Perplexity, Claude, and Copilot.
  • Use case example: Audit a SaaS product page to add definition blocks, comparison tables, FAQ schema, and citationable statistics so the page can be cited in “What is X?” and “X vs Y” AI answers.

Quick Start

Ask the ai-seo assistant to audit a target URL and provide prioritized, implementable changes to improve AI citation chance.

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 to get cited in AI overviews?

AI search engine optimization involves auditing content for AI visibility, structuring extractable passages into answer blocks, and implementing JSON-LD schema markup like FAQPage and Article to increase citation likelihood in AI-generated answers from platforms like Google AI Overviews and Perplexity.

What is the best way to structure website pages for AI answer extraction?

The best way to structure pages for AI answer extraction is creating self-contained answer blocks, FAQ/HowTo patterns, comparison tables, and quote blocks that AI systems can easily parse, alongside adding JSON-LD schema markup to define content structure.

Why does my website content not get cited by ChatGPT or Claude?

Your website content may not get cited by ChatGPT or Claude due to missing author attribution, poor crawlability, lack of freshness signals, or content that is not structured as easily extractable answer blocks with proper schema markup.

Do I need schema markup to improve AI visibility on Google AI Overviews?

Yes, you need schema markup like JSON-LD Article, FAQPage, HowTo, and Product to improve AI visibility on Google AI Overviews, as these schemas validate content structure and increase the chance of being cited in AI-generated answers.

Can I audit AI visibility for product descriptions and comparison pages?

Yes, you can audit AI visibility for product descriptions and comparison pages by checking AI presence across major platforms, identifying citation gaps, and validating schema presence, crawlability, and author attribution to ensure content extractability.

What schema markup should I use to increase AI citations for my blog posts?

To increase AI citations for blog posts, use JSON-LD schema markup such as Article, FAQPage, and HowTo, which help AI systems validate content structure, author attribution, and freshness signals for higher citation likelihood in AI-generated answers.