
I explain how brands show up in AI search through usage and citation, why both matter, and how traditional SEO still supports AI visibility.

Google updated merchant listing structured data to support sale duration and product category details, bringing Search markup closer to Google Merchant Center feed capabilities.

I use Conductor’s MCP Server to connect the AI tools my team already uses with verified AEO and SEO intelligence, so our work is grounded in current, reliable data.

I compare Goodie and Semrush for AI search visibility, focusing on AEO monitoring, optimization, agentic commerce, and revenue attribution.

I cannot measure every AI recommendation, but I can build a reliable view of brand visibility by tracking prompt libraries, clusters, multi-turn conversations, inclusion rate, brand framing, sentiment, and competitive share of voice.

I break down what 6.77 million LLM-driven sessions reveal about AI referrals: ChatGPT’s dominance, Claude’s rise, volatile traffic swings, and why internal search now deserves serious attention.

I’m learning how a proven five-phase architecture framework can improve navigation, taxonomy, SEO, and AI access to valuable content in the next SMX Now session.

I explain why reviews, creator partnerships, sponsored content, and other paid media investments now shape how AI systems understand and recommend brands.