{
  "slug": "aeo-playbook",
  "url": "https://aicode8.com/aeo-playbook/",
  "title": "AEO in practice: get cited consistently by AI answer engines",
  "description": "Use a canonical llms.txt plus entity-shaped JSON-LD for answer-engine optimization, so ChatGPT Search and Perplexity cite your pages as their answer.",
  "keyword": "AEO in practice",
  "summary": "AEO (Answer Engine Optimization) aligns your source with answer engines like ChatGPT Search and Perplexity. Three core moves: (1) write llms.txt with summaries and canonical URLs — never dump full long-form text; (2) inject an Organization/WebSite entity node in the page head to establish entity authority; (3) feed real, verifiable FAQPage answers. Bottom line up front: getting cited by AI depends on clear entities, verifiable content, and readable structure — not keyword stuffing. Common pitfalls are dumping full text into llms.txt (judged low quality) and missing canonical (judged duplicate).",
  "category": {
    "key": "agent-ai-optimization",
    "slug": "agent-ai-optimization",
    "label": "AI Agents"
  },
  "updatedAt": "2026-09-10",
  "faqs": [
    {
      "q": "How is AEO different from SEO?",
      "a": "SEO optimizes rankings for human searchers. AEO optimizes source authority for AI citations — the former leans on backlinks and rankings, the latter on entities and structured data."
    },
    {
      "q": "How long should llms.txt be?",
      "a": "Only summaries and canonical URLs to key sections. Full content lives on the site itself — too long and AI crawlers judge it low quality."
    }
  ],
  "generatedBy": "https://aicode8.com/llms-full.json"
}