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WAIO Foundations: AI SEO

The structural signals AI engines read, and how to ship them. Semantic HTML, content architecture, internal linking, and what the current research actually says about schema.

Originally aired Jul 29, 2026~45 min
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About this session.

Great content that's structured badly is invisible to AI, and most teams can't see the problem because the page renders fine to a person. This is the technical session. We get specific about the markup and architecture AI systems rely on to understand and reuse a page: semantic HTML that signals meaning instead of just style, content architecture that lets a single passage stand on its own, internal links that map relationships, and what the current research actually says about schema. Then we walk through a two-minute check you can run on your own site to see it the way an AI engine sees it, plus how to sort what you find into what's worth fixing now versus what can wait. You'll leave able to brief a developer, or open the source yourself, and know exactly what to change.

Hosts.

Collin Belt
Collin Belt
Chief Marketing Officer · Veza Agency Network

What you'll learn.

  • The structural signals AI engines actually weight: semantic HTML, content architecture, internal linking, and schema, and which ones carry the most weight.
  • Why content architecture, not keywords, decides whether an AI can parse and reuse your pages.
  • How to audit your own site for the signals AI reads, using a repeatable checklist instead of guesswork.
  • How to prioritize fixes by impact, and why citation count on its own is the wrong scoreboard.
  • The overlap and the gap between classic technical SEO and AI SEO, and where your current stack already helps.
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