Right now, an AI is deciding whether your brand exists. Not philosophically - commercially. Life science researchers are asking ChatGPT for recommendations, using Perplexity to compare platforms. If AI can't find, cite, and recommend you, you're invisible.
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.