Look, Google Gemini is getting incredibly powerful and the Google AI stack is evolving fast. But here's the deal: AI models get obsolete, so we shouldn't just focus on features but the methodology and the fundamental use cases. In this guide, I'll show you how to use Google's AI stack and Gemini for day-to-day marketing tasks with this principle in mind.
- Build a 4-person AI marketing team: Strategist, Data Analyst, Creative Director, and Builder
- Use Gemini deep research + NotebookLM synthesis for grounded strategy documents
- Analyze Google Sheets data in NotebookLM for correlation insights with minimal hallucination
- Create brand-aligned assets using Whisk, Veo, and Pomy without a creative team
- Automate workflows with Google Opal and deploy custom tools via AI Studio
🎥 Watch the Full Breakdown
Source: Original Video
1. The AI Marketing Team Framework: Your Four Core Functions
Here's the foundation: We're building an AI marketing assistant team with four key functions. This isn't about replacing marketers—it's always about AI plus human. Think of them as your assistants handling 80% of tasks so you can focus on high-impact strategy.
The four roles are: The AI Marketing Strategist, The AI Data Analyst, The AI Creative Director and Copywriter, and The AI Builder. Each one tackles specific marketing functions using different Google AI tools.
The four core AI marketing functions working together in Google's ecosystem
2. AI Marketing Strategist: Deep Research & Strategy Documents
Great marketing starts with solid strategy. We're pairing the powerful research capabilities of Gemini with the incredible synthesis power of NotebookLM. For example, I'm planning a go-to-market strategy for an online course platform launch.
First, on Gemini, turn on deep research. The good news is Gemini now allows you to use your own sources or upload your own files as part of the deep research process. It gives you a really detailed research report about your target audience, key market players, pricing models, prioritized marketing channels. We can just export it to a Google document and specify a project name that's ready to import back to NotebookLM.
A quick pro tip here: you can now perform this research directly right inside NotebookLM and import all original sources there. Either way, the principle and goal is the same: build a centralized knowledge base for strategy.
Then on NotebookLM, import additional sources like online learning market trends, popular course topics, and very importantly, upload our own product overview as part of the sources. We can configure the chat with the marketing strategist persona for more relevant responses.
Once all the sources are imported, create a report using the building studio feature. For this use case, we'll create our own report with a custom prompt: the go-to-market strategy document. The final report includes positioning, pricing strategy, channel recommendations, budget allocations for the strategy plan.
This is why I like NotebookLM—it only uses the sources I've imported, so the strategy recommendations are grounded in what it knows about the products.
But we're not done yet. Often times we have to present the strategy to the team, so we can first import back this strategy document, select only this source, and 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 a color scheme. The best thing is you can just click here to export it directly to Google Slides or download it as a PDF file. Then you can make final edits in Google Slides—perhaps insert images, update a cover background—and pretty quickly you have a ready-to-present deck based on research and on-brand tone.
| Tool | Marketing Function | Best Use Case |
|---|---|---|
| Gemini Deep Research | Market Research & Analysis | Competitive analysis, audience research, trend identification |
| NotebookLM | Strategy Synthesis & Reporting | Creating grounded strategy docs, persona-based analysis |
| Gemini Canvas | Presentation Creation | Turning outlines into branded slide decks |
| NotebookLM + Sheets | Data Analysis | Correlation analysis, KPI tracking, performance insights |
| Whisk | Image Generation & Blending | Product shots, lifestyle images, hero banners |
| Veo | Video Generation | Product demos, social ads, animated visuals |
| Pomy | Brand-Aligned Social Assets | Quick social posts with consistent branding |
| Google Opal | Workflow Automation | Content campaign generators, email sequences |
| Google AI Studio | Custom Tool Building | Deploying team-specific marketing apps |
Ready to test these workflows yourself?
Start Building with Google AI StudioNotebookLM analyzing marketing campaign data imported from Google Sheets
3. AI Data Analyst: Measuring Performance with NotebookLM & Sheets
We need to measure performance and see what's actually happening. That's why NotebookLM is so useful here—it now supports Google Sheets import that lets you dig through all those numbers and find real answers.
As marketers, we all need to deal with different types of spreadsheets: marketing budgets, campaign results, sales pipelines. The best thing is you can now import all these to NotebookLM. This is a gamechanger because we can also upload our strategy document and then cross-reference and do correlation analysis with minimal hallucination, finding meaningful linkage between these data sources.
For example, we can ask it: based on these performance data, are we ready to hit the launch KPI outlined in the strategy? Give the rationale. It will give you detailed analysis and propose what data might still be needed to determine campaign success.
Or you can just select relevant data sets and ask which channels and content type combinations generate leads at the lowest cost. It will find the relevant linkage for you. You could even upload customer data along with campaign performance to identify high-value segments or personalization opportunities.
Using this approach, you can do different meaningful correlation analysis from different angles and dig through the data to find answers for your business questions.
Besides sticking through the data, we can also ask Gemini to build visualizations from these messy data sets. Just upload the data sets and ask it to create a ready-to-share interactive dashboard including the business question you wanted to focus on. Immediately you get a compelling data story that you can present with the team, like in this case the content performance dashboard with ROI view, channel breakdown, to quickly pinpoint areas that need immediate focus with actionable recommendations.
4. AI Creative Director: Assets That Actually Look Professional
Another key role most marketers need is an AI creative director and copywriter. The great news is Google now offers a ton of creative AI tools, but each tool has a specific strength. Let me show you when to use what.
Starting with visual brainstorming using Whisk (formerly Vixbot). Whisk works just like your virtual whiteboard for finding the initial marketing campaign vibe. Let's say I'm planning a holiday season coffee subscription box campaign. I can prompt it to generate a list of visual elements as a starting point—packaging, logos, lifestyle images. If you like any particular style, you can just select it and click "more like this" and it will generate more similar vibes. You can even upload your own visual elements to the canvas by dragging and dropping them here.
Once you're happy with your canvas, you can start what I call the mix and match process. Select different visual elements you like and ask it to generate any new concept. Maybe create a new marketing lifestyle image with seasonal themes. The results are pretty amazing and it's very easy to do that. Or maybe I can blend these three images to create a photorealistic hero shot for the campaign. The possibility is endless and you can download them for future reference.
Not just for campaign visual ideas—maybe you're brainstorming visual concepts for your branding elements. You can apply the same concept: let Gemini generate different logo concepts, color palettes, font styles for your new brand, then mix and match any of these visual elements to create new brand styles. Maybe in this case, what these brand elements look like on a luxury paper shopping bag. The results are quite impressive.
Whisk is perfect for finding the campaign vibe, but those are still concepts, not final assets. This is where Veo comes in. It's built to take three components and blend them into high-quality, ready-to-use marketing assets. Once you launch Veo, you'll see these three component areas: the subject, the scene, and the style.
Perhaps I'm preparing some lifestyle marketing images for a headphone product. I can first upload the subject image—the model, the product. For the scene, we can prompt it to generate something like a cozy home office. As for the style, if you have no idea you can click here to roll the dice and let it pick any default randomly. Then we can prompt it to make whatever changes—perhaps these women wearing the product and working at a desk. The results are pretty impressive. Make sure you turn on precise reference to keep character consistency. You can keep iterating by selecting different styles, using different prompts, and generating new assets. It's quite a fun process and each one is ready to download.
Another cool thing is it even allows you to animate each of these images, but note each video generation will consume AI credits. Just like this one, I can specify the animation in a prompt. It's quite amazing how Gemini models keep the character consistency and all the objects blending so well. You can even try different styles or change the prompts to focus on the products for your marketing campaign.
5. AI Creative Director: Brand-Aligned Social Assets & Copywriting
Another creative challenge we marketers always face is creating on-brand social visuals. With Whisk and Veo, you'll still manually add your logo, match brand colors, and write copy in your voice. That's why Google's Pomy is designed to extract your brand elements and generate ready-to-use social assets that match your brand tone.
Once you're on Pomy, the first step is to set up your own brand business DNA—essentially the branding elements. For example, we have this healthy snack brand: first insert the website to let Gemini extract all the brand elements. It will return the brand logo, fonts, color tone, brand assets, taglines, brand values. You can click any of them to customize. It will also base suggestions on your brand context and suggest campaigns for you to get started.
Or you can just describe the campaign details and let it generate visual ideas. Then you can click any one you like and further adjust it. Basically, you can customize the image, the header, the copy, and also the call-to-action. It's pretty easy to adjust, but I would say they work like templates. Everything is just like little building blocks, so it's not super flexible or sophisticated like a typical creative editing tool that you would expect. But if you don't have a big creative team, this is a great tool to quickly build ready-to-use social media assets that align with your brand assets or campaign. You can simply add a new visual by specifying the image, aspect ratio, header description, and it will generate for you.
Sometimes you just need a general-purpose image generator that you can just describe what you need and get high-quality results. That's where you can use Google's latest image model on Google AI Studio for any marketing assets you need: website banners, blog post visuals, or ad concepts. For example, I need a marketing banner for my website. First, on Google AI Studio, we can initiate a chat window and upload the reference image to the chat. Ask it to analyze the reference and bring three new banner concepts for these products with text-to-image prompts. You always have some initial ideas to get started with.
It will give you the analysis and provide three concepts with detailed prompts. Then you can just pick any concepts you like. Perhaps in this case, that's concept one. This time, pick the image chat mode and select the latest image generation model. In this case, that's Imagen 4. We can even specify the aspect ratio, the output resolution—let's pick the highest resolution. Paste back the banner prompt and immediately it will generate a super high-quality banner. We can even zoom in for all the details and the resolution is definitely high enough for production usage. You can just make further changes on any image editing tool like Canva. Perhaps add some text on it to make the banner even more complete.
Besides static images, we can also use Google's latest video model to generate high-quality marketing videos, but a tip is to use it on Google Flow versus on Google AI Studio. Not just the quality I found is better, but you can sign up for Google Flow for free and get free credits to test it yourself. Our workflow starts with a Gemini jam. Here I have set up this jam that is specifically for generating Veo prompts. This is based on the official prompting guide with the critical prompt elements and with the official prompting guide uploaded as the knowledge file.
Let's say we're creating a product ad for our pancake mix product. We can first upload the product image to this jam, give it some context, and let it generate the optimized Veo prompt. Just copy the prompt, go to Google Flow, and start generating the videos. Click to create a new project. Here are three main ways to generate a video: text to video, frames to video, ingredients to video. Since we are creating a product video and want to use the product image as the reference, let's use the ingredients to video mode. Just upload the product image, paste back the prompt, pick the aspect ratio and the video model. Note if you pick the latest model, it will consume more AI credits. The final video is pretty amazing—it looks super realistic, natural, and you can see there's a product blended in this video too. It even has the voice-over audio, and you can just click here to download the high-resolution version.
Not just for product videos, but perhaps some simple B-roll that you want to use in your video marketing. Veo can help a lot. Beyond these creative assets, you can also use Gemini Jam for copywriting too. Set up a jam with your brand voice document and feed it your product details, customer insights to generate ad copies, email sequences, or social captions—all matching your brand tone. Just like with video prompts, having a dedicated jam ensures consistency.
6. AI Builder: Turning Workflows into Repeatable Systems
So far we've built our marketing strategy, analyzed data, created assets, but this still feels siloed. That's why we also need an AI builder to turn workflows into repeatable systems so your team can use them. That's where Google Opal comes in—a no-code tool for building multi-step processes using Gemini's capabilities.
Once you're on Google Opal, you can click create new to start from scratch. Each workflow must have user input, generation, and outputs. At each step, you can specify which Gemini model capabilities to use or output formats that link with the Google ecosystem. It's very flexible, but still I highly recommend you just use the chat window to prompt whatever workflow you want to build.
For example, as marketers we can build a content campaign generator. First, the user will input the topic keyword, target audience, and the app will do deep research, analyze search intent, and generate the content brief, blog outline, and visual. Opal will build every step detail for you, and you can click each of these to double-check or fine-tune it. Then we can just test the flow. Using the online course platform launch example, perhaps we're planning content about freelance pricing strategy. That's now triggering the workflow, and it has successfully generated the post visual where we can save it, and also the content brief document that outlines the report summary about the content topic, target audience, what they care about, content goal, and also with super detailed blog outline. This is great.
This is just one marketing use case. You could build similar workflows like an email sequence and get body copy variations. You can use Opal to semi-automate any tailored marketing process that you can't simply achieve using other Google AI tools.
7. Advanced: Building Custom Marketing Tools for Your Team
Sometimes you need more sophisticated tailored marketing functions that simple workflows can't handle. That's when you can use Google AI Studio—it's perfect for non-technical marketers to build custom tools for your team. Of course, you can also build with the Gemini canvas, but Google AI Studio integrates directly with Google Cloud for you to one-click deploy your tool.
Once you're on Google AI Studio, go to the build section to start building. You can pick any Gemini capabilities to make sure they are used in the app building process. For example, we can build a campaign brief generator which will take the product photo and turn it into three distinct campaign concepts, plus combine them into a downloadable PDF pitch deck. Just click build and Gemini will start the building process. Very quickly the app is ready for testing.
Let's input all the required information (note: these are just for demo purpose, and when you build this for your marketing, only use images you have the right to use). It will immediately generate three distinct concepts based on requirements, and they all look pretty good and production-ready. We can even download the PDF pitch deck that contains all the creative concepts. Of course, there's still lots of details to fine-tune, but you can see it's really easy to create this kind of custom marketing tool for your team usage. When everything is ready, you can click here to deploy the app to Google Cloud: just create a new project, set up billing, and click deploy app. Then you will have a 100% functional app that's ready for team usage.
Google Opal's visual workflow builder automates entire marketing campaigns
8. The AI Trust Factor: What Consumers Actually Think
With AI becoming such a huge part of how we do marketing, there's a critical question: how do we use AI without losing customer trust? That's why I recommend you check out this free report from HubSpot and SurveyMonkey about how brands are earning loyalty in an automated world. You can find the link below.
This report covers what consumers really think about AI in marketing. While most companies are going all-in on AI, only 24% of consumers actually like seeing AI in their emails, ads, or customer support. And 84% want to know when brands are using AI. Not just the insights, but what I found valuable is also the section about best practices for staying authentic with AI. It provides five actionable strategies to implement AI without losing the human connection. Download this for free using the link below, especially if you're already using AI in your work.
Get the Free AI Trust Report
Download HubSpot & SurveyMonkey Report9. Pros, Cons & Real-World Alternatives
Google AI Marketing Stack: Pros & Cons
👍 Pros
- Deep integration with Google Workspace means no more copy-pasting between tools
- NotebookLM's source-grounded analysis minimizes hallucination—a huge win for data accuracy
- Multimodal capabilities let you analyze video ads, images, and documents in one place
- Free tier available for most tools, making it accessible for small teams and startups
- One-click deployment from AI Studio to Google Cloud simplifies custom tool rollout
👎 Cons
- Steep learning curve: each tool has specific prompting requirements and quirks
- AI credits can burn quickly, especially with video generation in Veo or Flow
- Brand customization in tools like Pomy is template-based—not as flexible as professional design software
- Google's ecosystem lock-in means you're dependent on their roadmap and pricing changes
- Alternatives exist: ChatGPT and Claude offer simpler interfaces for basic tasks, while Jasper AI and Copy.ai provide more marketing-specific templates out of the box.
10. Critical Warnings & Risks
Before you go all-in, here are the real risks you need to know. AI models can hallucinate even with source grounding, especially when data is incomplete or ambiguous. Always validate critical insights against your original data sources.
Another major risk: copyright and usage rights. Only use images, videos, and data you have explicit rights to feed into AI tools. Google Flow and Veo can generate impressive videos, but using copyrighted reference images without permission can land you in legal trouble.
Also, watch your AI credits. Video generation, high-resolution image outputs, and complex multi-step workflows burn through credits fast. Set up budget alerts if you're using Google Cloud billing.
11. Final Verdict: Is Google's AI Stack Worth It?
Bottom line: If you're already in the Google ecosystem, this stack is a no-brainer. The integration between Gemini, NotebookLM, and Google Workspace creates a workflow that's hard to beat. You can go from research to strategy to presentation in one seamless flow.
For solo marketers and small teams, the free tiers give you enterprise-level capabilities without the enterprise price tag. For agencies, the ability to build custom tools in AI Studio and deploy via Google Cloud means you can productize your expertise.
But—and this is important—don't try to master everything at once. Pick one function (start with the strategist workflow) and nail it before adding the next. These tools are powerful but complex, and spreading yourself too thin leads to frustration and subpar results.
Frequently Asked Questions
How does Google AI compare to ChatGPT for marketing tasks?
Google AI's native multimodal capabilities and real-time search grounding give it an edge for marketing research. Unlike ChatGPT, Gemini understands images, videos, and audio together from the start. You can upload a competitor's video ad and get instant analysis of visuals, messaging, and hooks—all in one prompt. Plus, Google Workspace integration means you can analyze 10,000 customer reviews in Google Sheets with one formula, no API setup required.
Can I use Google AI tools for free in 2025?
Yes, most tools offer generous free tiers. Gemini, NotebookLM, Google AI Studio, Whisk, and Veo all have free access with usage limits. Video generation and high-resolution outputs consume credits faster, but you can accomplish most marketing tasks without paying. Google Flow also offers free credits for testing.
What are the best Google AI tools for social media marketing?
For social media, use Pomy for brand-aligned templates, Whisk for creative brainstorming, and Veo for animated content. Pomy extracts your brand DNA from your website and generates ready-to-use social assets. Whisk helps you find campaign vibes and create variations. Veo animates static images into short video clips perfect for social feeds.
How accurate is NotebookLM for marketing data analysis?
NotebookLM's source-grounding feature makes it highly accurate. It only uses the sources you import (Google Sheets, strategy docs, campaign data), which minimizes hallucination. You can ask it to cross-reference performance data with your launch KPIs, identify which channels generate leads at lowest cost, or find high-value customer segments. The key is uploading clean, complete data sources.
Can I build custom marketing tools without coding?
Absolutely. Google Opal is a no-code workflow builder, and Google AI Studio offers "vibe coding" where you describe what you want in plain English. Both let you build multi-step marketing tools like content campaign generators, email sequence builders, or campaign brief creators. You can deploy them to your team with one click via Google Cloud.
Final Thoughts
This is how you use Google AI and Gemini today to start building your core marketing functions. Always reveal your own needs first before you start building, and only use AI where it does add value. The methodology matters more than the features—focus on the 80/20 rule and keep the human in the loop.
If you found this guide helpful, share it with your marketing team. I also encourage you to join communities where marketers are sharing real workflows and results. And before you go, test one workflow from this guide today—don't just read it, implement it.
This content is for educational purposes. All Google AI tools mentioned are property of Google. Results may vary based on your specific use case, data quality, and prompting skills. Always validate AI-generated insights before making business decisions. HubSpot and SurveyMonkey report reference includes sponsored content.
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