AI SEO Glossary
What is schema.org?
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TL;DR — schema.org is the collaborative vocabulary (sponsored by Google, Microsoft, Yahoo, and Yandex; coordinated under W3C) for marking up web content with structured-data annotations. Shipped as JSON-LD blocks; the foundation of every AI-citation engagement.
Definition & scope
schema.org is the collaborative vocabulary (sponsored by Google, Microsoft, Yahoo, and Yandex; coordinated under W3C) for marking up web content with structured-data annotations. The most-used types for AI SEO and AEO: Product, Offer, AggregateRating, FAQPage, HowTo, Article, Person, and Organization. Markup is shipped in JSON-LD blocks inside the page's HTML.
Schema is the single highest-leverage piece of AI-SEO plumbing. AI engines weight structured data more aggressively than classic search ranking does — schema mismatch (price in markup doesn't match price on page, author named in markup doesn't appear on page) can disqualify a page from citation entirely, where the same mismatch in classic search only demotes ranking. Foundation for citation work across every engine. See /aeo-services for implementation depth.
Where you'll encounter it
Every page on every modern eCommerce or content site that takes AI-citation seriously ships JSON-LD blocks. Browser devtools (view-source on any page, search for application/ld+json). Google's Rich Results Test, the Schema Markup Validator, and Search Console's Enhancements report all surface schema validity.
Schema is the most reliable AEO investment we make on a new engagement — visible-content fidelity verified, the right types deployed at the right grain, breadcrumbs everywhere, Person markup for named authors. We rarely see a citation-share lift program that doesn't start here.
Related terms
- Structured data — the broader term for which schema.org is the practical vocabulary.
- AEO — the citation discipline schema.org supports.
- Entity SEO — Organization / Person schema is the entity-SEO foundation.
- Citation share — the KPI schema work moves.
Related services
- AEO Services — schema-first citation work.
- AI SEO Services — the parent retainer.
FAQ
Who sponsors schema.org?
Google, Microsoft, Yahoo, and Yandex co-founded the vocabulary in 2011. Coordination now sits under W3C's Schema.org Community Group. Adoption is multi-engine: every major search engine and AI engine parses schema.org markup.
Which schema types matter most for AI SEO?
For most engagements: Product, Offer, AggregateRating, Review, FAQPage, HowTo, Article, Person, and Organization. Vertical-specific types (LocalBusiness, Recipe, Event, JobPosting) matter when the page's purpose calls for them.
JSON-LD or microdata?
JSON-LD. Google's recommended format since 2015 and the format every AI engine prefers. Microdata and RDFa still work but make implementation, testing, and content-management harder for no upside.
Why does schema fidelity matter more for AI than for classic SEO?
AI engines weight structured data more aggressively than classic ranking does — and they punish mismatches more aggressively. If your markup says price $99 and the visible page shows $89, classic search demotes the page; an AI engine often disqualifies it from citation entirely.
How do I test schema markup?
Google's Rich Results Test (search.google.com/test/rich-results) and Schema Markup Validator (validator.schema.org) are the canonical tools. We run both on every page we ship; we also check for visible-content/markup alignment which the validators don't enforce.
Should I add schema to every page?
Yes, at the right grain. Organization + WebSite site-wide; BreadcrumbList on every page; type-specific schema (Product, Article, FAQPage, HowTo) per page based on the page's purpose. Don't over-mark; don't under-mark.
Schema is the cheapest, highest-leverage AEO investment.
Get a full schema audit and an implementation backlog scoped to your platform. 888-982-8269.