Audit and optimize content for AI assistant recommendations.
npx skills add https://github.com/MrGKanev/agent-skills --skill aeo-mrgkanev
Please help me install this Agent Skill. Skill: aeo Source: https://github.com/MrGKanev/agent-skills/tree/main/my-skills/aeo Command: npx skills add https://github.com/MrGKanev/agent-skills --skill aeo-mrgkanev
This Skill helps organizations optimize content to be recommended by AI assistants, increasing AI-driven traffic and improving content discoverability across ChatGPT, Perplexity, Claude, Gemini, and Copilot.
Start by auditing a page for AI referral signals, then update its title, meta description, and structured data to reflect a task-based approach.
High-intent search queries and answers about installing and using this skill.
To optimize content for AI assistant recommendations, apply task-based content structures, optimize metadata, implement schema markup, and maintain freshness signals to improve AI extraction and referral traffic.
AI referral traffic consists of visits driven by AI assistants like ChatGPT and Perplexity. Structured data and schema markup make content easier for these systems to extract, significantly increasing your likelihood of being recommended.
Auditing an article for AI referral signals involves reviewing the page for task clarity, checking existing metadata and schema markup, and evaluating content freshness to identify high-potential pages for AI-driven traffic optimization.
Task-based content structure works across major AI assistants like ChatGPT, Perplexity, Claude, Gemini, and Copilot by satisfying their common requirements for content clarity, metadata optimization, and freshness signals.
The best way to redesign pages for AI search optimization is to update titles, meta descriptions, and structured data to reflect a task-based approach, aligning the content architecture with AI referral preferences.
Content might not be recommended by AI assistants if it lacks clear task-based structuring, proper schema markup, optimized metadata, or freshness signals, which are all required for successful AI extraction and referral.
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