Speakable Schema

Speakable schema is a structured-data property that marks specific passages within a page as suited for text-to-speech and voice-answer synthesis, originally built for voice assistants like Google Assistant, and increasingly relevant as conversational AI answers move toward spoken as well as written delivery.

Why it matters

As more AI interactions shift toward voice, especially in agentic and assistant contexts, speakable schema is a forward-looking implementation most competitors haven't adopted yet, offering a differentiation opportunity in categories where voice search already matters.

Related terms

• Schema Markup / Structured Data

  Schema markup, or structured data, is machine-readable metadata embedded in a page, most commonly as JSON-LD, that explicitly tells crawlers what the content actually is: an article, an organization, a product, a set of questions and answers, rather than leaving that classification to inference.

• Answer Block / Atomic Answer

  An answer block, or atomic answer, is a self-contained passage, typically 40 to 100 words, that fully answers a specific question on its own, without requiring a reader or an AI system to reference surrounding paragraphs to understand it.

• Conversational Search

  Conversational search is a natural-language search interaction where a user asks a question the way they'd ask a person, and receives one synthesized answer instead of a page of ranked links. It's the interface pattern behind ChatGPT, Perplexity, and Google's AI Mode.