Schema markup explained: Enhancing SEO and AEO with structured data
Blog post from Webflow
Schema markup is a form of structured data added to a webpage's HTML that helps search engines and AI systems better understand and display content in search results, enhancing both search engine optimization (SEO) and answer engine optimization (AEO). By clearly defining key information about a page's topic, schema markup enables search engines to showcase rich results, such as reviews, prices, and images, which can improve click-through rates (CTR) and potentially elevate search rankings. This markup also contributes to forming a more detailed knowledge graph for a brand, increasing visibility across various Google features. Additionally, schema markup aids large language models in delivering more complete answers to user queries by providing structured data, thus improving the chances of content being selected for direct answers in AI-driven search models. While schema markup doesn't guarantee immediate ranking improvements, it enhances the appeal of search listings, often resulting in increased clicks that can boost a page's position on search engine results pages (SERPs).
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