This session gets specific about how content is selected, extracted, and cited by AI systems, and what we can actually implement (structure, trust signals, technical hints) to win those inclusions. As AI Overviews, ChatGPT, Gemini, and other LLM-powered interfaces increasingly answer queries without a click, senior SEOs need new mental models, metrics, and execution frameworks. This session breaks down how LLMs retrieve, select, and present content—and what that means for measurement, reporting, and prioritisation. You’ll learn practical ways to engineer "LLM-ready" content, track citation and brand inclusion, and replace rankings with KPIs that actually correlate to revenue and demand in an AI-first search landscape.