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I keep seeing people ask: do I really need schema markup for AI visibility, or is it just a buzzword? Short answer — mostly yes, but not for the reason most people think.

In episode 2 of Cited: Voice Notes, I break down what schema actually is (structured data that labels your content), the myth that AI "reads your schema and skips a step" (it mostly reads your visible text), and where schema's value really comes from — Google's rich results and AI Overviews, which pull from Google search. The thing that actually makes you quotable? The answer-first structure underneath. Schema labels it; structure makes it liftable. Do both.

In this episode:
- Why schema helps — but not the way most people think
- What schema actually is, in plain terms
- The schema types that matter most (FAQ, Article, Organization + Person, Product)
- The catch: it has to match what's actually on the page
- Why it's basically expected now if you're doing best practices

Full written version + transcript: https://lsxpartners.com/podcast/do-i-need-schema-for-ai-visibility

Hosted by Laura Seelinger, founder of LSX Partners — AI visibility (AEO/GEO) strategist helping brands get cited by AI.