ai-seo

What it does

The skill positions the agent as an expert in AI search optimization, focusing on getting content cited as a source in AI-generated answers across platforms like Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. It emphasizes structuring content for extractable passages, adding citations, and improving presence where AI looks.

How it works

• It defines the goal as helping users' content be cited by AI systems rather than solely ranked in traditional search.
• It outlines three pillars: Structure (extractable content blocks), Authority (citation-worthy references), and Presence (be discoverable by AI).
• It prescribes content-pattern blocks: definition blocks, step-by-step blocks, comparison tables, pro/cons blocks, FAQ blocks, and statistic blocks with sources.
• It recommends specific structural rules: direct lead for each section, 40–60 word passages, headings that match queries, tables for comparisons, numbered lists for procedures, and single-idea paragraphs.
• It discusses optimization for multiple AI platforms, noting differences in source selection and the importance of extractable structure for non-Google engines while maintaining standard quality for Google.
• It encourages auditing AI visibility (checking AI answers for key queries, analyzing citation patterns, assessing extractability, and verifying robots.txt access for various AI bots).
• It describes an optimization strategy centered on three pillars (Structure, Authority, Presence) and gives concrete patterns (definition, how-to, comparisons, FAQ, statistics) and best practices for machine-readable files and schema markup to aid AI agents.

When to use it

• Use when content should be cited or surfaced by AI assistants and AI search engines.
• Use when optimizing for AI Overviews, AI mode, and extraction by ChatGPT, Claude, Perplexity, Gemini, Copilot, etc.
• Triggered when the goal is to improve extractability, add authoritative sources, and ensure presence in AI-fed surfaces.

What it can touch

• It references content blocks, headings, and structured data patterns designed to be embedded in content pages.
• It recommends including schema markups: Article, HowTo, FAQPage, Product, ItemList, Review, AggregateRating, Organization.
• It calls for machine-readable files like /pricing.md, /pricing.txt, and /llms.txt, plus mentions of llms.txt context usage to aid AI agents.

Caveats

• It notes Google’s stance that AI Overviews do not require special markup or files and that content should be written for people first, with normal structure.
• It advises that non-Google engines reward extractable structure and machine-readable files, but keep Google optimization in mind.
• It emphasizes avoiding content that harms AI visibility, such as keyword stuffing, and stresses keeping content up-to-date with freshness signals.