Search engines and AI models are clever, but they don't read a page the way a person does. Schema markup hands them a clean, machine-readable summary of what your content actually means, and in the age of AI answers, that clarity is more valuable than ever.
What is schema markup?
Schema markup is a standardised vocabulary of structured data, usually added as JSON-LD, that tells search engines and AI systems what your content means. It labels the parts of a page explicitly: this is an Article, this is an FAQ, this is the Organisation behind it, this passage is suitable to be read aloud. Maintained at schema.org, it's the shared language machines use to understand the web.
The schema types that matter most
- Organization. Defines your brand entity, name, logo, location, and links, the cornerstone of entity SEO.
- Article / BlogPosting. Marks up your content with author, dates, and headline.
- FAQPage. Structures questions and answers, often shown as rich results and easily quoted by AI.
- Speakable. Flags passages suitable for voice and AI answers.
- Service, Product, Review, Breadcrumb. Add meaning specific to your pages.
Does schema help SEO?
Schema is not a direct ranking factor, but it earns rich results, star ratings, FAQ drop-downs, and breadcrumbs, that improve visibility and click-through. More importantly, it removes ambiguity: when engines understand your content precisely, they're more confident surfacing it.
Schema markup is how you stop hoping a machine guesses your content correctly, and start telling it exactly what you mean.
Why schema is central to GEO
For Generative Engine Optimisation, structured data is a superpower. AI answer engines rely on clear signals to identify entities and extract answers. Well-formed Organization, FAQPage, and Speakable schema make your content dramatically easier for ChatGPT, Perplexity, and Gemini to understand and cite, a key part of AI SEO.
Getting schema right
Use JSON-LD, mark up only what's genuinely on the page, keep it accurate, and validate it. Done well, schema quietly powers both your rich results and your AI citations. Kay & Co. builds correct, GEO-ready structured data into every page it optimises, explore more in our resources library.
Frequently asked questions
Schema markup is a standardised vocabulary of structured data, usually added as JSON-LD, that tells search engines and AI systems what your content means: that this is an article, this is an FAQ, this is your organisation, and so on.
Schema does not directly boost rankings, but it makes pages eligible for rich results and helps engines understand your content, which can improve visibility and click-through rates.
AI answer engines use structured data to understand entities and extract answers. Clear schema, especially Organization, FAQPage, and Speakable, makes your content easier for AI to parse and cite.