Schema markup is structured data in JSON-LD format added to a page's HTML that helps Google and LLMs understand the context and type of the content.
Schema markup (or structured data) is a standardized code language (schema.org) added to a page's HTML in JSON-LD, Microdata or RDFa format. It helps search engines and AI models understand the type of content: article, product, recipe, event, review, FAQ, etc. Google uses schema to show rich results: review stars, prices, opening hours, expanded FAQs directly in the SERP. LLMs (ChatGPT, Perplexity) use schema to understand a page's context when deciding whether to cite it.
Pages with rich results get on average 20-30% more clicks than the same pages without, according to Google. Correct schema per page type is essential for visibility in modern SERPs and for citability in AI.
Source: Google Search Central — Structured DataTechnical SEO covers the optimizations of your site's infrastructure — crawlability, indexing, loading speed, HTTPS and data structure — that let Google find and understand your pages.
A featured snippet is the box that appears above Google's organic results — "Position 0" — showing a direct answer to a question, extracted from one of the indexed pages.
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the framework Google uses to assess the credibility and quality of a site's content.
LLM SEO (or GEO — Generative Engine Optimization) is the practice of optimizing content to be cited or recommended by AI models like ChatGPT, Perplexity or Google AI Overviews.
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