Aeo Optimization
If you're watching your content get summarized by ChatGPT or Perplexity without attribution, this skill helps you fight back. It guides Claude to write content that AI engines actually cite: semantic triples that state facts clearly, paragraph structures that follow feature-how-outcome patterns, and page templates for category explainers, product pages, and comparisons. The approach is based on HubSpot's AEO framework and focuses on three signals AI engines use: consensus across sources, information gain from original data, and entity-rich structure. You get specific templates with triple checklists, FAQ patterns, and schema markup guidance. Works best when you're rebuilding product docs, category pages, or marketing content for a world where 58% of searches never click through.
- skills.sh installs
- 306
- GitHub stars
- 685
- last updated
- Jun 3, 2026
Install
$ npx -y skills add alinaqi/claude-bootstrap --skill aeo-optimization --agent claude-codeInstalls into .claude/skills of the current project.
Files
AI Engine Optimization (AEO) Skill
Purpose: Optimize content for AI engines (ChatGPT, Claude, Perplexity, Google AI Overviews) so your brand gets cited in AI-generated answers.
Source: Based on HubSpot's AEO Guide and industry best practices.
Why AEO Matters Now
Sponsors
Agent CaffeineSponsoredClose your lid, come back to finished work
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- Repository
- github.com/alinaqi/claude-bootstrap
- First seen
- Jun 3, 2026
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