AI owns the information war. Your booth and your team's judgment are all that's left — and both need deliberate protection. For life science marketers.
Matt and Jasmine debate whether generative AI search represents a branding opportunity or a performance marketing channel for life science companies. The conversation unpacks the mechanics of AI discoverability, examining conversion data (23x better than organic search), volume reality (still <1% of total traffic), and the strategic implications for B2B life science marketers.
Key tensions explored: incumbents vs newcomers, content quality vs volume, brand visibility vs measurable outcomes, and the 3-6 month timeline for GEO results. The discussion reveals how query fan-out, training data dynamics, and platform-specific biases (Grok over-indexes X, ChatGPT favours Reddit) create a probabilistic rather than deterministic visibility model.
Core argument: AI search isn't an extension of SEO - it's a different game rewarding structured, answer-ready content over traditional optimisation tactics. Small players can compete through specificity and recency, but incumbents hold trust signal density from years of indexed content.
Actionable close: Test your visibility quarterly across ChatGPT and Perplexity with category questions and specific use cases. The gap between results maps your competitive position in AI discovery.