There has been a lot of buzz about Gemini 3, Google’s LLM. In this episode, I dig into Google’s big announcement and try to get past the hype to what it really means for healthtech marketers. 

Google is positioning Gemini 3 as a highly multimodal, context-aware AI system that can handle text, images, data, and reasoning in one place. I will do my best to explain what that means in English and why you should care about that. I will also share how I benchmarked Gemini 3 vs the other guys to see if it lives up to the promise.

I also cover what this all means for search. This is kind of a big deal - potentially. This may presage the likely evolution of search from text-only answers to rich, AI-generated “micro-sites” with visuals, maybe even video, built on the fly. 

I will wrap up with five key takeaways on when to use which tool (Gemini, ChatGPT, Claude, Perplexity), where Gemini really shines, and why Google’s evolving ad model should be on every healthtech marketer’s radar right now.

Topics Covered:

• "(00:00)" – Introduction & setup
• "(01:10)" – What Gemini 3 actually is
• "(03:40)" – Nano Banana Pro for visuals
• "(05:30)" – Multimodal workflows & creative speed
• "(07:30)" – Deep integration with Google apps
• "(09:30)" – AI Overviews & the future of search
• "(12:30)" – Visual, interactive AI results & declining SEO value
• "(15:10)" – Rethinking Google Ads in an AI-first world
• "(17:00)" – Introducing the HLP BrAIn & benchmarking approach
• "(18:30)" – Benchmark results: BrAIn vs ChatGPT vs Gemini
• "(21:00)" – Script-writing test across four LLMs
• "(24:00)" – Strengths and weaknesses of each LLM
• "(26:00)" – Five key takeaways & closing

If you are interested in discussing this or any other topic, let's have a chat.  Reach out to me directly to schedule a no-obligation discussion. This isn't a sales call, but rather an opportunity to talk through your questions and challenges.

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