Structured Data for GEO: Schema Patterns That LLMs Understand

Well-structured content is easier for AI systems to parse and quote accurately. This article outlines practical patterns—from headings to tables and JSON‑LD—that improve extraction and synthesis while reinforcing credibility.

Principles of GEO‑friendly structure

• Predictable hierarchy: consistent H2/H3 breakdowns across articles
• Standalone blocks: paragraphs and bullets that make sense in isolation
• Explicit definitions: short, crisp statements for key entities and terms
• Summaries and FAQs: compact sections that can be lifted into answers

Human‑readable structure > markup alone

Models primarily learn from readable text. Use markup to reinforce clarity, not replace it. Start with plain‑language structure, then add schema.

Patterns that work

1) Definitions

Place a 1–2 sentence definition near the top. Keep it self‑contained and precise.

2) Tables for comparisons and specs

Use tables for side‑by‑side differences, pricing tiers, and feature matrices. Keep headers unambiguous and units explicit.

3) Checklists and step lists

Break processes into numbered steps or bullet checklists. Aim for verb‑led items that can stand alone in answers.

4) FAQs with natural questions

Include 5–8 questions that mirror user prompts. One paragraph answers are ideal.

JSON‑LD that supports GEO

While LLMs don’t rely on schema alone, JSON‑LD helps search engines and downstream knowledge graphs.

Commonly useful types:

• Article with headline, author, datePublished, keywords
• FAQPage with mainEntity question/answer pairs
• BreadcrumbList to clarify page context

Example FAQ block

What is Generative Engine Optimization?

Generative Engine Optimization (GEO) is the practice of structuring and writing content so AI assistants can extract, synthesize, and cite it accurately.

How much schema do I need?

Favor clarity in the visible page first. Add Article and FAQPage where appropriate; avoid excessive, low‑value markup.

Do tables actually help?

Yes—tables create clear, addressable cells that are easier to quote and compare.

Implementation checklist

• Clear H2/H3 outline with definition near the top
• Bullets and tables for dense facts and comparisons
• FAQ with natural questions and crisp answers
• JSON‑LD for Article and optional FAQPage
• Last‑updated stamp and revision notes

Key takeaways

• Structure for humans first; add schema to reinforce meaning.
• Use definitions, tables, and FAQs to create extractable blocks.
• Keep content fresh and consistent across related articles.

Last updated: 2025‑10‑07