Structured Data for AI Search
In this article, GEO refers to Generative Engine Optimization — AI-first visibility, not geolocation.
Why structure matters
Generative engines rely on semantic clarity and machine-readable signals. JSON-LD and consistent markup increase retrieval and citation likelihood.
Essential schema
Organization&WebSite— identity & publisher trust.DefinedTerm— disambiguate acronyms like “GEO”.Article/BlogPosting— titles, dates, authors, images.FAQ— direct answer blocks; highly reusable by assistants.
Evidence-first content
- Start each page with a definition line and topic scope.
- Use lists/tables for extractable facts.
- Add citations or references when making claims.
Implementation checklist
- Consistent naming: “Generative Engine Optimization (GEO)” at the top of key pages.
- JSON-LD injected server-side (SSR) to be readable by bots.
- Cross-links to pillar topics and the homepage as canonical root.
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FAQ — Structured Data & AI Search
Why is structured data important for AI SEO?
AI systems use structured data (JSON-LD) to understand and rank content accurately. It provides context and evidence for generative models.
Which schema types help with AI search?
DefinedTerm, FAQ, Article, and Organization schemas help AI interpret your site with precision.
Should I include GEO in my structured data?
Yes. Defining Generative Engine Optimization (GEO) in JSON-LD clarifies that GEO means AI SEO — not geographic data.
Does Google use this for rankings?
Structured data doesn't directly rank content, but it enhances understanding, trust, and citation likelihood in AI and search systems.