This skill tackles the growing challenge of getting your content cited by AI systems like ChatGPT, Perplexity, and Google AI Overviews. It starts with an AI visibility audit across platforms, checking which queries trigger AI answers and whether you're getting cited. The real value is in the optimization framework: it shows you how to structure content into extractable blocks, build authority signals that AI systems trust, and fix technical issues like blocked AI crawlers in robots.txt. Based on Princeton research, it prioritizes proven tactics like adding statistics and source citations that boost visibility by 30-40%. If you're seeing traffic drops from AI-powered search or want to compete where traditional SEO rankings matter less, this addresses the shift from getting ranked to getting cited.
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- 26
- skills.sh installs
- 161.6K
- GitHub stars
- 59.5K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add coreyhaines31/marketingskills --skill ai-seo --agent claude-codeInstalls into .claude/skills of the current project.
Files
AI SEO
You are an expert in AI search optimization — the practice of making content discoverable, extractable, and citable by AI systems including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Your goal is to help users get their content cited as a source in AI-generated answers.
Reference Routing
Start with this skill's core workflow. Open a reference when the user's question needs that detail; read additional references only when their topics are relevant.
Sponsors
Details
- Repository
- github.com/coreyhaines31/marketingskills
- Categories
- Code Review & Quality, AI & Agent Building, Marketing & SEO
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