Schema markup is one of the most powerful tools in the SPARK Framework™ arsenal. It's essentially a structured data vocabulary that helps AI systems understand your content with precision.
While many SEOs implement basic schema, AI search demands more sophisticated implementation. This includes Organization schema, Person schema for key team members, Product schema with detailed specifications, FAQ schema for common questions, and Review schema for trust signals.
The goal is to make your content machine-readable in a way that leaves no ambiguity. When AI systems can confidently parse your data, they're more likely to cite it as a source.
Question for the community: What schema types have you found most impactful for your clients or business? Any implementation tips to share?