Structured data (JSON-LD) for AI search
The short answer
Structured data is machine-readable markup (usually JSON-LD) that tells search and AI engines exactly what a page is about — its entities, author, and key facts. For AI search, the highest-leverage schema types are Article, FAQPage, Organization, and Product, because they let an engine extract and attribute your content with confidence.
Key takeaways
- Structured data removes ambiguity so engines can parse and attribute your content.
- Article, FAQPage, Organization, and Product are the highest-value types for AI.
- JSON-LD is the recommended format — add it once per page in a script tag.
- Schema supports citation; it doesn't replace clear, well-written content.
On this page · 3 sections
Why structured data matters for AI
AI engines do better when they don't have to guess. Structured data states a page's facts explicitly — who wrote it, what entity it's about, what the questions and answers are — so the engine can extract and attribute them without inferring from prose alone. That lowers the risk the engine mis-reads you, and raises the odds it cites you.
The schema types that matter most
You don't need every type. Focus on the few that map to how AI answers are built.
- Article / BlogPosting — for guides and resources (headline, author, dates).
- FAQPage — exposes question/answer pairs engines love to lift.
- Organization — establishes your brand as a consistent entity.
- Product — for ecommerce items eligible to appear in AI shopping answers.
- BreadcrumbList — clarifies site structure and context.
How to implement it
Add a single JSON-LD script tag per page describing the primary entity. Keep it accurate — schema that contradicts the visible content is worse than none, and engines discount sites that game it. Validate with a schema testing tool before shipping.
Frequently asked questions
Is JSON-LD better than microdata?
Yes — JSON-LD is Google's recommended format and is far easier to maintain because it lives in one script block rather than being woven through your HTML.
Does structured data guarantee citations?
No. It makes your content easier to parse and attribute, which helps — but the content still has to be clear, accurate, and authoritative.
Which schema should a blog post use?
Article or BlogPosting for the post itself, FAQPage if it includes a Q&A block, plus Organization and BreadcrumbList for context.
Keep reading
Tactics
More from this topic
Programmatic SEO with AI: scale pages that rank and get cited
Programmatic SEO with AI uses language models to generate hundreds of unique, high-quality pages at scale. Here's how to do it without producing thin content that engines ignore.
Free AI SEO tools: what's available and what works
Looking for free AI SEO tools? Here's what's genuinely available at no cost — audits, schema generators, crawler checkers — and where the free tier ends.
The best GEO tools in 2026 (and what to look for)
The best GEO tools track AI citations, audit content for extractability, and publish answer-first pages. Here are the capability categories that matter and how to evaluate them.
AI SEO tools comparison: evaluation criteria for 2026
Compare AI SEO tools by what matters: citation tracking, content generation, structured data audit, and measurement. Here's how the categories stack up and what to prioritize.
How to write a TL;DR that gets cited
A citable TL;DR answers the page's core question in 1-3 self-contained sentences at the top. Here's how to write one AI answer engines will lift verbatim.
Why original data and statistics win AI citations
Original statistics and data give AI answer engines something concrete and attributable to cite. Here's why proprietary data outperforms recycled claims in GEO.
Put this guide to work · Tactics
Turn these tactics into published pages.
Page Engine researches buyer questions and drafts cited, structured pages for you to review.
- ChatGPT
- Perplexity
- Gemini
- Claude
- Copilot
- AI Overviews
Be the answer AI finds. Your AEO growth partner.
