AEO Implementation Guide — Step by Step

These implementations make your site discoverable and citable when AI systems search the web. Each guide below provides complete, copy-pasteable code and configuration templates that you can apply to any website. The guides are ordered by impact — start with Schema.org, which provides the highest-value structural signals, and work through the remaining guides in sequence.

AEO targets the retrieval path — when AI systems actively search the web, extract content, and cite sources. These implementation guides focus on making your site optimally structured for that retrieval process. For background on the retrieval vs generation distinction, see AEO vs SEO vs GEO.

For Developers and AI Agents

If you are implementing AEO for a client or as an AI coding agent, work through these guides in order. Each builds on the previous one. Start by verifying Deeprank selection eligibility at deeprank.org, then proceed with the implementations below.

Implementation Guides

  1. 1.Schema.org ImplementationComplete JSON-LD templates for Organization, FAQPage, Article, Product, and more. The highest-impact single implementation for AEO.
  2. 2.robots.txt ConfigurationAllow AI crawlers explicit access. Template with GPTBot, ClaudeBot, PerplexityBot, and others.
  3. 3.llms.txt — AI-Friendly Site SummaryA structured entity summary designed for AI agent consumption. The cover letter for your site.
  4. 4.Content StructureSemantic HTML, heading hierarchy, first-paragraph rule, FAQ patterns, and hub-and-spoke internal linking.
  5. 5.Meta TagsComplete reference for title, description, Open Graph, geo tags, Twitter Cards, and hreflang.
  6. 6.Sitemap ConfigurationPriority values, change frequencies, and templates for static XML and Next.js dynamic sitemaps.
  7. 7.Multi-Language AEOhreflang implementation, language-specific schema, and handling translated content for AI systems.

Each guide is self-contained — you can implement them independently. However, the combined effect of all seven implementations is significantly greater than any single one. AI systems evaluate sites holistically, and gaps in any area reduce the confidence signals that drive selection and citation.

For the conceptual foundation behind these implementations, see the AEO Principles.

For selection eligibility criteria, see The Deeprank Selection Layer.