How AI is transforming modern marketing
AI isn’t just another tool. It’s reshaping how marketers think and work. It’s a new way of approaching problems, powered by data and automation, that impacts every part of the marketer’s day-to-day. Marketers who embrace AI are seeing real, measurable results: faster workflows, smarter decision-making, and more time to focus on creativity and strategy.
Watch the video below to see how Criquet Shirts is using AI to transform their marketing operations.
Unlock the power of AI for your marketing
AI can support you at every stage of the marketing process, from the first idea to performance tracking and analysis. Browse the gallery below to see how AI can be used across each phase of your marketing workflow, and discover real examples of tasks that can be enhanced or automated with AI.
Brainstorming
How AI can help:
AI can spark new ideas and break through creative blocks. It can analyze audience data, market trends, or past campaigns to help you generate fresh concepts that are backed by insights, not guesswork.
Examples:
- Generate ideas for seasonal campaigns or promotions
- Research trending topics for your niche by combing through the web
- Create initial outlines for blogs, videos, or email sequences
Planning
How AI can help:
AI helps you plan smarter by turning data into actionable insights. It can identify trends, prioritize opportunities, and even help you build effective marketing plans.
Examples:
- Build campaign calendars and content plans
- Determine the best send times or frequency for each channel based on engagement data
- Identify which products or offers are most likely to perform well based on past performance
Execution
How AI can help:
AI speeds up production by automating repetitive work and personalizing content at scale. It can create copy, design assets, and generate campaign variations tailored to each audience segment.
Examples:
- Write website, email, or ad copy
- Generate images or design variations for creative testing
- Automate campaign delivery and optimization across channels
Reporting
How AI can help:
AI turns your performance data into clear insights you can act on. It can surface what’s working, where customers are dropping off, and which changes are likely to make the biggest difference.
Examples:
- Analyze campaign results and summarize key insights
- Identify which audiences or channels need improvement
- Recommend action items and prioritize them based on potential impact
Implement AI strategically
Ready to bring AI into your marketing workflows? Browse the dropdowns below to learn how to integrate AI strategically and set yourself up for long-term success.
Audit your workflows
Before jumping in, take a close look at how you work today:
- Map out your key marketing workflows from start to finish
- Identify the steps that take the most time or effort
These repeatable or manual tasks are often the best opportunities to automate or augment with AI. Documenting your process gives you a clear picture of where AI can make the biggest impact.
Determine your strategy
Once you’ve identified your opportunities, decide how AI will fit into each part of your workflow. Ask yourself:
- Where can AI take over completely?
- Where should it assist you?
- Where do you want to keep things fully human?
Setting clear guardrails helps you use AI with purpose and consistency. Write down your strategy and revisit it often as tools evolve and your comfort level grows.
Train the AI
AI is only as useful as the data you give it. Whatever AI tool you’re using, make sure it has access to the right information about your brand, customers, and goals. That includes:
- your brand guidelines and tone of voice
- your business goals and strategy
- up-to-date product and customer data
If your information is scattered across tools, start consolidating and integrating it. The more context you provide, the better the AI will perform.
Start small and scale
AI adoption is a journey, not a switch that you can flip overnight. Begin by using AI to help with one or two tasks, learn from the results, and expand from there. As you build confidence, you’ll naturally move through different stages of AI adoption:
- AI-blind: Unaware or uncertain about AI’s potential
- AI-curious: Starting to explore AI
- AI-adopter: Using AI tools regularly for specific tasks
- AI-first: Turning to AI as the first step for most tasks
The goal isn’t to rush but to keep moving forward, one experiment at a time.
Keep humans in the loop
Even the best AI tools can produce inaccurate or misleading results, which is why human review remains essential. Think of AI as a co-pilot, not the driver. It can help you move faster, but you stay in control.
As a marketer, you’re responsible for everything published or executed under your brand’s name, even when AI is involved. Build checkpoints into your workflow where you or a teammate review and validate AI-assisted work before acting on it. This ensures your marketing stays accurate, ethical, and aligned with your business and compliance requirements.
Explore our AI adoption workbook
Download the AI adoption workbook to put what you’ve learned into action. As you go through this course, use it to define your AI goals, document your AI strategy, and plan your AI experiments. The workbook will help you turn ideas into a clear plan for integrating AI into your marketing.