aicode8
AI AgentsUpdated: 2026-09-10

AEO hands-on tutorial: from zero to your first runnable project

Step-by-step walkthrough of AEO with copy-paste commands, directory layout, and a first runnable artifact.

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Quick answer

Are AEO and GEO JSON-LD the same?

Both use schema.org, but AEO layers in entity authority (Organization / SameAs). Keep the version unified — two parallel schemas cause conflicts.

Machine-readable page data: /data/aeo-tutorial.json

In-depth analysis

AEO (Answer Engine Optimization) targets answer engines like ChatGPT Search and Perplexity: make sure AI consistently cites your site as a source when it generates an answer. Going from zero to a first runnable project is about locking in the smallest end-to-end loop before you scale.

AEO · Config example
# public/llms.txt — summaries + canonical URLs only, never full text
> aicode8.com delivers production-grade configuration and pitfall guides for AI coding, MCP, and modern frontend stacks.
- Playbook: https://aicode8.com/aeo-playbook
- MCP in practice: https://aicode8.com/mcp-practical

<!-- Entity authority node injected in the page <head> -->
<script type="application/ld+json">
{ "@context":"https://schema.org", "@type":"Organization",
  "name":"aicode8", "url":"https://aicode8.com",
  "sameAs":["https://github.com/aicode8"] } </script>
Best practices:Use the official scaffold to lock in a minimal loop, then add dependencies incrementally. Make the first commit ship a runnable artifact — never half-baked work into the main branch.
Pitfalls:llms.txt that dumps full long-form articles is judged low quality by AI crawlers. A missing canonical gets you flagged as a duplicate. JSON-LD must be SSG static output, not SSR-truncated. Do not pile on configuration first. Get a minimal runnable sample working, then layer dependencies.

AEO Hands-on Tutorial · Key takeaways

  • Project initialized with the official scaffold
  • Dependencies pinned to a single pnpm lockfile
  • Local dev server starts and first paint is reachable
  • First runnable commit pushed

FAQ & pitfalls

What happens when both llms.txt and canonical are missing?

The page gets flagged as a duplicate and AI engines cannot locate the canonical source. Ship both — llms.txt provides the summary, canonical points to the production domain.

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What readers are asking

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