AI Doesn't Love Your Brand β Beyond GEO: Brand Strategy for the AI Era
Session Overview
Humans perceive brands emotionally, but AI perceives brands computationally. AI simply gathers the structured knowledge and sources that already exist across the web to "learn" a brand, then generates its answers and recommendations from that. Now that AI answers have become customers' first point of contact with brands, there's one clear question brands need to confront: are we teaching AI about our brand?
This session is aimed at marketers who already understand GEO, and presents β based on real Korean brand performance data β the actual mechanism by which AI learns about brands, a methodology for designing and injecting brand knowledge (entity structure, brand sources, external signals), and the measurable effects that result (citation rate, answer share, AI recommendations).
Key Takeaways
- Why AI perceives brands computationally rather than emotionally, and what that means for brand strategy.
- How AI actually "learns" a brand from structured knowledge and sources across the web.
- A practical framework for designing and injecting brand knowledge β entity structure, brand sources, and external signals.
- How to measure the results: citation rate, answer share, and AI recommendation rate.
- Real Korean brand performance data showing what's already working.
Speaker
Seungwan Son leads Ainnect, a generative AI search optimization (GEO) solutions company. He has systematized brand exposure strategy within AI answers and provides companies with practical GEO solutions. He is also the author of Zero Click (recommended by Gilbut / Korea Academy of Business Administration), in which he foresaw the arrival of the zero-click era and has taken a leading role in presenting corporate and brand response strategies for it in the Korean market.