Please read the whole thing. It's just 3 points. 1. LLMs *do understand schema* when they see it in input, contrary to a popular belief that the structured data is lost due to tokenization. This is because they're trained on it as they are trained on code. 2. LLMs *don't*

Big news -> Microsoft is in talks with US publishers about launching a two-sided marketplace that would compensate publishers for their content used by AI products "Microsoft would become the first major tech company to build an AI marketplace for publishers, a milestone in

new research from Perplexity (great insights in this one) 🔥 research.perplexity.ai/articles/archi…

We’re introducing the Agentic Commerce Protocol, an open standard co-developed with @Stripe that enables programmatic commerce flows between users, AI agents, and businesses.

AI search is reshaping how we discover information, but the conversation tends to stop at "what" instead of "why". There's a massive gap between strategy and technical understanding in how LLMs work.. where are all the SEOs turned MLEs hiding out?👀

OpenAI just sidelined your website and changed SEO forever. It's about to unleash a whole new industry vertical in search optimization. All CMOs need to ship v1 of this on a war-footing: [thread]

🚨 Third-Party Sources Drive 85% of Brand Discovery in AI Search 👇 AirOps conducted a research identifying that : * Third-Party Sources Account for 85% of Brand Mentions in AI Search * Listicles Drive 9 in 10 Third-Party Mentions in AI Search * Product Pages and Homepages

🔥 This Week’s Biggest SEO & AI Search Stories from #SEOFOMO 👇 * ​Reddit sues Perplexity, SerpApi over scraping Google Search data * ​OpenAI Introduces the ChatGPT Atlas web browser * ​Google working on fixing Search Console performance report delay * ​Google: Links, Site Moves