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AEO in Practice

Get the Sites You Build Cited by AI

Make ChatGPT, Perplexity, Claude and Google AI cite the sites you build. A code-first AEO/GEO guide for developers and agencies — with a production-tested Next.js boilerplate.

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About

About

About the Book

Your site shows up on Google. But not on ChatGPT.

They're different engines, with different bots. Optimizing for Googlebot does not put you in ChatGPT, Perplexity or Google AI Overviews — and most agencies don't know it yet. Whoever masters AEO (Answer Engine Optimization / GEO) now sells a service with no competition.

This is a hands-on, code-first guide for developers and agencies to make the sites they build become a source cited by AI. Not marketing theory — methods validated in production on real B2B catalogs.

What you'll learn
  • Allow the right AI bots — the two OpenAI crawlers, Google-Extended, and why training ≠ citation
  • llms.txt — generate the "sitemap of the AI era" automatically from your data
  • JSON-LD that passes the Google Rich Results Test and consolidates your entity
  • The canonical bug that silently removes you from the AI index — and how to audit it
  • Measure for real — true indexation (the sitemaps API lies) and your "share of citation" in LLMs
  • Sell it as a service — proposal and pricing to resell AEO audits to your clients
Inside

The 5 production lessons, an implementation roadmap (one weekend), a prompt pack, and the full method with copy-paste Next.js code.

Companion code (included via links)
  • Free open-source starter: github.com/lesalerno/aeo-nextjs-starter (one-click Deploy to Vercel)
  • Full toolkit bundle (boilerplate + checklist + 10 prompts + commercial kit): on Gumroad
  • Try the method free: the llms.txt generator at austhen.com.br/gerador-llms-txt

Stop being invisible to AI. Become the answer.

Author

About the Author

Leandro Salerno

Leandro Salerno leads marketing and technology at Austhen, a Brazilian industrial audio group with 20+ years of engineering, behind the brands Sansara, IBS and Xcene.

He didn't learn AEO from a course — he learned it shipping real sites: building and optimizing the group's B2B catalogs in Next.js and Firebase, and fighting every indexation and schema bug documented in this book. After getting those sites cited by ChatGPT and Perplexity, he packaged the method into AEO in Practice.

He writes for developers and agencies who want to master the next layer of search before the competition does.

Contents

Table of Contents

  1. Why AEO became its own channel
  2. The three engines consuming your site
  3. Lesson 1 — Allow the AI bots (and know which ones)
  4. Lesson 2 — llms.txt, the sitemap of the AI era
  5. Lesson 3 — JSON-LD: how the LLM understands what you are
  6. Lesson 4 — The bug that removes you from the AI index without warning
  7. Lesson 5 — Measure indexation and citation for real
  8. How this impacts traffic
  9. Prompts to audit and improve with LLMs
  10. Implementation roadmap (one weekend)
  11. How to sell this as a service

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