Search is splitting in two. On one side, Google still drives traffic through traditional search results — and schema markup is the key to standing out with rich snippets, knowledge panels, and enhanced listings. On the other side, AI assistants like ChatGPT, Claude, and Gemini are becoming the new front door to the internet — and they need an entirely different approach to understand your site.
Most Sitecore teams have invested in SEO, but almost none have considered AI Optimization (AIO) — the practice of making your content discoverable and accurately represented by AI language models. This session presents a complete, dual-track strategy: Schema Markup for search engine visibility, and llms.txt for AI assistant discoverability — both implemented on SitecoreAI with Next.js.
This isn’t theory. I’ll walk through two working implementations: a schema markup strategy that enhances how Google displays your Sitecore content, and a custom Next.js middleware pipeline that dynamically generates llms.txt from the SitecoreAI content tree — so AI models always have a clean, structured understanding of your site without manual file maintenance.