Speakable Schema

Speakable schema is a structured data type that identifies specific sections of a web page as particularly suitable for text-to-speech (TTS) playback. It was initially designed for Google Assistant and voice search, but its relevance has expanded to AI search platforms that offer voice response capabilities. By marking content as "speakable," you tell AI platforms which passages from your page work best when read aloud.

The importance of speakable schema is growing as AI search becomes more multimodal. Platforms like ChatGPT and Gemini increasingly offer voice interaction modes where users listen to responses rather than read them. When the AI needs to select a passage to speak aloud, content marked with speakable schema has a clear advantage because the publisher has pre-identified the most audio-friendly segments. Voice commerce is projected to reach $164 billion globally by 2025 (Juniper Research), making voice-optimized content increasingly valuable.

Speakable schema works by pointing to CSS selectors or XPath expressions that identify the speakable sections of a page. Ideal speakable content is concise (typically under 2-3 sentences per section), self-contained (makes sense without surrounding context), and written in natural spoken language (avoiding abbreviations, complex formatting, or visual references).

While speakable schema adoption remains relatively low compared to other schema types, it represents an early-mover opportunity. Brands that implement speakable markup now are positioning themselves for the growing segment of AI search that happens through voice interfaces, smart speakers, and in-car assistants where spoken citations drive brand awareness and consideration.