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ai-seo

Optimizes website content for citation by AI search engines like ChatGPT, Perplexity, and Google AI Overviews.

3|Updated Nov 8, 2014
Search Tags:#content optimization#chatgpt#schema markup#ai citations#llm visibility#ai seo#answer engine optimization
One-click install
npx skills add https://github.com/mintuz/.dotfiles --skill ai-seo-mintuz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/mintuz/.dotfiles/tree/main/agents/.agents/skills/ai-seo
Command: npx skills add https://github.com/mintuz/.dotfiles --skill ai-seo-mintuz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Brands are losing visibility as AI Overviews and AI assistants answer queries directly, and most content is not structured to be extracted and cited by these systems. This Skill audits and optimizes content so it gets cited in AI-generated answers across Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. ## Core Features & Use Cases - AI Visibility Audit: Test key queries across AI platforms, analyze competitor citation patterns, check content extractability, and verify AI bot access in robots.txt. - Three-Pillar Optimization: Apply Structure (extractable answer blocks, comparison tables, FAQ schema), Authority (statistics, expert quotes, E-E-A-T signals), and Presence (Wikipedia, Reddit, review sites) frameworks grounded in Princeton GEO research. - Machine-Readable Files: Create llms.txt, pricing.md, and Open Knowledge Format bundles so AI agents can parse your product and pricing information. - Use Case: A SaaS company notices competitors appear in ChatGPT answers for "best project management tools" but they do not. The Skill runs a visibility audit, identifies missing FAQ schema and stale content, and produces a prioritized fix plan. ## Quick Start Audit my website's visibility across ChatGPT, Perplexity, and Google AI Overviews and give me a prioritized optimization plan.

Frequently Asked Questions about ai-seo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get my content cited by ChatGPT and Perplexity?▼

Structure content into extractable blocks: 40-60 word direct answers, comparison tables, and FAQ sections. Add statistics with named sources and expert quotes, which Princeton GEO research shows boost citation rates by 30-40%. Ensure GPTBot and PerplexityBot are allowed in robots.txt.

What is the difference between AI SEO and traditional SEO?▼

Traditional SEO gets pages ranked; AI SEO gets content cited inside AI-generated answers. AI systems select sources based on content structure, authority signals, and extractability rather than rank position alone, so well-structured pages can be cited even without page-one rankings.

Should I block AI crawlers like GPTBot in robots.txt?▼

Blocking AI crawlers prevents those platforms from citing your content at all. If AI visibility matters, allow search-and-cite bots like GPTBot, PerplexityBot, ClaudeBot, and Google-Extended; you can still block training-only crawlers like CCBot without losing citations.

Does schema markup help with AI search visibility?▼

Yes, particularly on non-Google AI engines where structured data correlates with 30-40% higher visibility. FAQPage, Article, HowTo, and Product schemas give AI systems structured context. Google states schema is not required for AI Overviews but recommends it for overall SEO.

Why do competitors get cited in AI Overviews but not my site?▼

Common causes include missing structured data, no clear definitions or answer blocks, stale content without dates, blocked AI bots, and weak third-party presence on Wikipedia, Reddit, or review sites. Run the audit checklist comparing your extractability and authority signals against cited competitors.

Do self-promotional 'best tools' listicles work for AI recommendations?▼

Mostly no for emerging brands. One study found 69% of citations earned by self-promotional listicles appeared in answers that recommended competitors instead. Recommendations are governed by offsite consensus from reviews, forums, and analysts, so invest there alongside genuinely useful guides.

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