AI SEO Glossary
What is Structured Data?
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.
Definition & scope
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.
Where you'll encounter it
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.
Related terms
- schema.org — the vocabulary structured data uses.
- AEO — citation work that depends on structured data.
- Entity SEO — Organization / Person markup is structured-data entity work.
- RAG — retrieval indexes lean on structured data to understand page meaning.
Related services
- AEO Services — schema-first citation engagement.
- AI SEO Services — the parent retainer.
FAQ
Is structured data the same as schema.org?
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.
What format should structured data ship in?
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.
Why is structured data more important for AI than for classic SEO?
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.
What's the highest-priority structured data to ship?
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.
How do I keep structured data accurate as content changes?
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.
What gets cut if I have to prioritize?
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.
Get structured data right. Get cited everywhere.
Site-wide schema audit, type-by-type backlog, and content-fidelity review. Call 888-982-8269.