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Schema Markup for AI Search

By Javier Socarras Updated February 14, 2026 9 min read 4 sections
AI-Quotable Answer
Schema markup for AI search is the JSON-LD structured data that tells Google, Bing, ChatGPT, Perplexity, Gemini, and Claude exactly what a page contains. The high-leverage types for AI search are Organization, Person, Service, LocalBusiness, FAQPage, HowTo, Article, BreadcrumbList, and Speakable. Sites deploying all nine types are over-represented in AI Overviews, ChatGPT citations, and Perplexity answers.

01Why Schema matters for AI

AI engines consume Schema.org JSON-LD as ground truth metadata. It tells them what kind of entity the page is about (Organization, Person, Service), how the page is structured (BreadcrumbList, FAQPage, HowTo), and which sections are quotable (Speakable). Sites with rich Schema coverage are dramatically over-represented in AI citations.

02The 9 high-leverage Schema types

1) Organization with name, url, logo, founder, sameAs. 2) Person for the founder with sameAs network. 3) Service per offering. 4) LocalBusiness per location page. 5) FAQPage on every category page. 6) HowTo on process pages. 7) Article on long-form content. 8) BreadcrumbList site-wide. 9) Speakable on TL;DR and answer blocks.

03Speakable is the secret weapon

Speakable schema marks specific sections of a page as suitable for audio answer rendering (Google Assistant, Gemini Voice, Alexa). It is one of the lowest-deployed and highest-leverage AI signals of 2026. Mark your TL;DR blocks and answer paragraphs as Speakable.

04Validation and monitoring

Validate every Schema deployment with Google's Rich Results Test and the Schema.org validator. Monitor weekly in Google Search Console (Enhancements). Schema errors silently downgrade AI citation eligibility, so monitoring is mandatory, not optional.

Topical entities covered
Schema.orgStructured dataJSON-LD
Schema Markup for AI Search · FAQ

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