Loading…
Your Full-Service Digital Agency & AI Strategy Partner
Real strategists. Real AI tools. Real growth. — 1Digital® since 2012
Workspace by 1Digital® — the agency platform we built. Coming to select agencies. Join the early-access list →
AI SEO Glossary
TL;DR — Structured data is the broad term for machine-readable annotation on web content. In modern practice, it means schema.org markup shipped as JSON-LD blocks inside HTML. The highest-ROI piece of plumbing in AI SEO — cheap to implement, expensive to skip.
Structured data is the broad term for any machine-readable annotation that helps search engines, LLMs, and other consumers parse the meaning of web content. In modern practice, structured data means schema.org markup shipped as JSON-LD blocks inside the HTML. (See /glossary/schema-org for vocabulary detail.)
Structured data is the foundation of every AI SEO and AEO engagement we ship. Reasons: it's how engines understand a page's type (article? product? FAQ? recipe? how-to?), what its key attributes are (price? rating? author? date?), and how it relates to the broader entity graph (which brand? which person? which category?). Pages with strong, accurate, visible-content-matching structured data get cited; pages without it get paraphrased and uncredited. The single highest-ROI piece of plumbing in AI SEO — cheap to implement, expensive to skip.
View-source on any modern eCommerce or content site, search for application/ld+json. In Google Search Console's Enhancements report (Products, FAQs, HowTo, etc.). In the Rich Results Test, the Schema Markup Validator, and inside every reputable AI-SEO audit deck.
Structured data is the cheapest, most reliable signal we ship on a new engagement. It's also the most commonly underdone: most sites have some markup, but few have the right types at the right grain with visible-content fidelity. Closing that gap is usually the fastest citation-share win available.
schema.org is the most common vocabulary for structured data on the web. Structured data is the broader concept (any machine-readable annotation). In practical AI SEO, they're often used interchangeably — see /glossary/schema-org for the vocabulary detail.
JSON-LD, in a <script type="application/ld+json"> block in the page's head or body. Microdata and RDFa are legacy formats; JSON-LD is what every modern engine prefers and what AI engines weigh most heavily.
AI engines weight schema fidelity more aggressively and punish mismatches more sharply. Visible content saying $99 but markup saying $89 demotes a classic SERP ranking; it can disqualify a page from AI citation entirely.
Site-wide: Organization, WebSite, BreadcrumbList. Per-page: type-specific (Product on PDPs, Article on blog posts, FAQPage where you have Q&A, HowTo where you have step-by-step). Named author Person markup for content quality signal.
Generate from the source of truth — pull price/availability from your product DB, pull author from your CMS author field, pull rating from your reviews system. Hand-authored JSON-LD drifts; generated JSON-LD stays accurate.
Ship breadcrumbs and Organization first; then per-type schema on the highest-value pages; then named-author Person markup; then optional augmentations (video, audio, Recipe, Event). Don't over-mark; don't under-mark. Visible-content fidelity is non-negotiable.
Site-wide schema audit, type-by-type backlog, and content-fidelity review. Call 888-982-8269.