Live From Boston at MarketingProfs B2B!

The episode opens with a deep dive into Google’s Gemini 3, the newest large‑language model that scored 92 % on the GPQA benchmark—far above the average PhD score. The hosts highlight how Gemini 3’s coding agents and built‑in AI agents can draft emails, build GitHub repos, and even generate entire web pages directly in Google Search. This shift from traditional link lists to AI‑crafted pages signals a fundamental change in how marketers will reach audiences, forcing a rethink of SEO tactics that once relied on ranking organic results.

A major theme is the looming erosion of unbranded search traffic. With AI‑driven answers replacing clicks, any site that depends on generic queries risks losing up to 30 % of its visitors. The speakers stress that the only reliable defense is a strong, recognizable brand that users will still type into search. They also outline a three‑stage AI optimization framework: first, ensuring the model’s training data includes your content; second, leveraging tool‑handling where the model searches the web for low‑confidence answers; and third, mastering each AI platform’s internal ranking algorithm. This layered approach underscores that AI SEO is not a single strategy but a multi‑layered discipline.

Finally, the conversation turns to practical applications at conferences and within organizations. Attendees at MarketingProfs B2B are urged to expect custom GPTs, notebook LMs, and interactive AI takeaways from speakers—tools that turn static presentations into reusable, searchable assets. The hosts also discuss AI as a “synthetic employee,” automating repetitive tasks like data entry while freeing human talent for higher‑value work. For marketers, the takeaway is clear: invest in brand equity, adopt a nuanced AI optimization process, and experiment with AI‑enhanced event experiences to stay ahead in a rapidly evolving digital landscape.