Google’s Search Central Live Toronto event offers a credible signal that structured data is part of Google’s AI-era search conversation. Event materials placed a session on “Structured Data, Quality & AI” alongside discussions of AI Overviews and Agentic Search. That matters for teams responsible for search visibility and content operations. It does not, however, establish that schema markup is a universal direct feed for every Google AI surface or that sites now need extra markup to qualify for AI Overviews or AI Mode.
The distinction is important. Structured data gives publishers a machine-readable way to describe entities and page content, while large language models can infer information from unstructured text. Those are complementary approaches, but the available Toronto material does not publicly document a blanket Google policy that structured data is more accurate, cheaper to process, or able to reveal hidden information across all AI systems. The more useful takeaway is strategic: organizations should treat valid schema as part of durable content data management, not as a shortcut to AI Search inclusion.
What the Toronto event signals
The strongest evidence comes from JC Chouinard’s Search Central Live Toronto slide collection, which identifies a talk by Ryan Levering on “Structured Data, Quality & AI.” The same event materials cover AI Overviews and Agentic Search, placing structured data within Google’s broader work on AI-enabled search experiences.
