How to Implement Schema Markup in Adobe Experience Manager (AEM)
Learn how AEM's component-based architecture shapes schema markup implementation, from HTL templates to multi-site structured data scaling.
Practical guides on GEO, AI citation tracking, brand authority building, and getting your brand cited by ChatGPT, Claude, Gemini, and Perplexity.
241 articles
Learn how AEM's component-based architecture shapes schema markup implementation, from HTL templates to multi-site structured data scaling.
Learn how Sitecore developers implement scalable schema markup by injecting JSON-LD at the rendering layer and pulling values from data templates.
Multilingual sites face unique schema markup pitfalls. Learn how to align schema with hreflang and set language-specific properties correctly.
Schema markup in a headless CMS is a front-end task. Learn to inject JSON-LD through your rendering framework for cleaner, more consistent structured data.
Learn how to find, validate, and prioritize every piece of structured data on your site in one systematic schema markup audit.
Schema.org is built on two concepts: Types and Properties. Learn how they relate and how inheritance shapes every structured data implementation.
Schema markup helps AI search tools like ChatGPT and Perplexity extract and cite your content by making its meaning machine-readable.
Persistent schema markup myths are quietly draining search visibility. Here's what the evidence actually shows in 2025.
Most schema guides bury the properties that actually matter. Here's what's required, what's recommended, and what you can safely skip.
Google officially recommends JSON-LD for schema markup. It's easy to maintain, compatible with dynamic content, and keeps structured data separate from your HTML.
Three structured data formats, one clear winner for most teams. See why Google favors JSON-LD and when Microdata or RDFa still make sense.
Schema markup and meta tags are both metadata, but they serve entirely different audiences and produce very different SEO outcomes.