Google Gemini is getting incredibly powerful and Google AI Stack is evolving fast, but AI models get obsolete. So that's why we should not just focus on features, but the methodology and the fundamental use cases. So in this video, I'll show you how to use Google AI Stack and Gemini for day-to-day marketing tasks with this principle in mind, let's go. So here is our AI marketing assistant team with four key marketing functions, the AI marketing strategist, the AI data analyst, the AI creative director, and copywriter, the AI builder. Now, this is not about replacing marketers, it's always about AI + human. So think of them as your assistant handling 80% of tasks so you can focus on high impact strategy. First, our AI marketing strategist. We all know that great marketing start with a solid strategy. And to do this, we are pairing the powerful research capabilities of Gemini with the incredible synthesis power of NotebookLM. For example, I'm planning to go to market strategy for an online cross platform launch. So on Gemini, turn on deep research. A good news is now Gemini allows you to use your own sources or upload your own files as part of the deep research process. Then it will give you really detailed research report about your target audience, key market players, pricing models, prioritize marketing channels, and we can just export it to a Google document and specify our project name that is ready to import back to NotebookLM. A quick pro tip here is you can now perform this deep research directly right inside notebookLM and import all original sources there. But either way, the principle and goal is the same. That is to build a centralized knowledge base for strategy. Then on NotebookLM, import additional sources like online learning market trends, popular course topic, and very important is to also upload our own product overview as part of the sources. Then we can configure the chat with the marketing strategist persona from more relevant response. Once all the sources are import, then we can create a report using the built-in studio feature. For this use case, we'll just create our own report with a custom prompt. That is the go-to market strategy document. So you can see the final report includes the positioning, pricing strategy, channel recommendations, budget allocations for the strategy plan. And this is why I like Noble LM, because it only use the sources I have import. And so the strategy recommendations are grounded in what it knows about the products. But we are not done yet because oftentimes we have to present the strategy to the team. So we can first import back this strategy document. So only select this source and then ask it to create a 15 slide presentation outline. Then on Gemini turn on canvas mode, paste back this presentation outline, and ask it to create the actual presentation deck with the color scheme. And the best thing is you can just click here to export it directly to Google's Slides, or just download it as a pdf file. And then you can make final edits in a Google slide, perhaps insert images, update a cover background, and then pretty quickly you have a ready to present deck, which is based on the research and on brand tone. So we have the strategy plan, but in marketing we still need an AI data analyst. So we need to measure performance and see what is actually happening. And that's why NotebookLM is so useful here as it now support Google Sheets import that lets you dig through all those numbers and find the real answers. So probably if you're marketers, you know, we all need to deal with different types of spreadsheets, marketing budgets, campaign results, sales pipelines. And the best thing is you can now input all these to NotebookLM. And this is a game changer because we can also upload our strategy document and then cross-referencing and do correlation analysis with minimal hallucination and find meaningful linkage between these data sources. So for example, we can ask it to base on these performance data if we are ready to hit the launch KPI outlined in the strategy. And give the rationale so it would give you detailed analysis and propose what data might still be needed to determine the campaign success. Or you can just select relevant data sets and ask, which channels and content type combinations generate leads at the lowest cost and then it will find a relevant linkage for you. You could even upload customer data along with campaign performance to identify high value segment or personalization opportunities. So using this approach, you can do different meaningful correlation analysis from different angles and dig through the data and find the answers for your business questions. Besides digging through the data. We can also ask Gemini to build the visualization from these messy data sets. Just upload the data sets and then ask it to create a ready to share interactive dashboard, including the business question that you want it to focus on. So immediately you