Ski Trip Planned On Gemini In Hours. SEO Playbooks Are Dead. Stop Mourning Them.
Vladimir Hanzlik, chief content officer, presented at EMARKETER's Future of Digital summit about a ski trip planning session where his group used Gemini on their phones to book resorts, hotels, and ski schools within hours. He argued that marketers must use AI search tools like customers, not executives. The key misconception he identified is that a clean, prescriptive playbook exists for ranking in AI search the way marketers once chased number-one positions.
This illustrates the shift from deterministic ranking to probabilistic discovery. The old SEO model assumed a stable algorithm with exploitable rules. AI search engines synthesize information from multiple sources into conversational answers. There is no number-one position to chase. The mechanism that matters now is presence across the sources AI models draw from. You optimize for being cited, not for being clicked. That requires understanding how AI tools actually consume and combine information.
Vladimir Hanzlik, chief content officer, presented these findings at EMARKETER's Future of Digital summit. His ski trip case study demonstrated real consumer behavior using Gemini for complex multi-service booking.
- Open Gemini or any AI assistant and search for a product or service your business offers. Phrase it the way a real customer would, not how you would write an ad.
- Examine which sources the AI cites or references in its answer. Write down the domains and content types that appear.
- Search for a competitor the same way. Compare which sources appear for them versus you. The gap between those two lists is your actual discoverability problem.