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Use when creating llms.txt, JSON-LD structured data, or robots.txt AI crawler configuration for a website or project build output
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Use when auditing a website or build output for AI search readiness, checking AI readability scores, or diagnosing why content isn't being cited by AI assistants like ChatGPT, Perplexity, or Google AI Overview
Use when restructuring website content for better AI citation — splitting long paragraphs, adding FAQ schema, removing keyword stuffing, improving heading structure, or injecting structured data into HTML or Markdown files
| name | aeo-generate |
| description | Use when creating llms.txt, JSON-LD structured data, or robots.txt AI crawler configuration for a website or project build output |
Generate AI infrastructure files from existing website content to make it discoverable by AI search engines.
| File | Purpose |
|---|---|
llms.txt | Machine-readable site summary for LLMs (llmstxt.org standard) |
llms-full.txt | Full content version for deep AI consumption |
_aeo/generated-schemas.json | JSON-LD schemas (Article, FAQPage, BreadcrumbList) |
| robots.txt suggestions | AI crawler allow/deny rules (printed, not auto-applied) |
Identify build output. Ask the user for the directory containing their built site (e.g., dist/, out/, build/). Check for common framework patterns:
.next/ or out/dist/public/Preview first. Run:
npx aeoptimize generate <dir> --dry-run
Show the user what will be generated and explain each file's purpose.
Confirm and generate. On approval:
npx aeoptimize generate <dir>
Review generated files. Read each generated file and suggest manual refinements:
llms.txt: Verify site name, description, and page listing are accurateIntegration guidance. Explain how to deploy:
llms.txt at site root (alongside robots.txt)<link rel="llms-txt" href="/llms.txt"> to HTML <head><head> sections--dry-run before writing/aeo-scan first to understand current state