How I Use AI in Marketing – Summer 2025

When I talk with other marketing leaders—directors, managers, and executives—I hear the same question: “How should I actually be using AI in marketing?”

The hype is overwhelming. New AI tools for marketers launch every week. Everyone talks about “AI marketing strategy,” and many professionals worry they’re already behind.

Here’s the truth: we’re all figuring it out together. AI in marketing is still new, and there isn’t one perfect playbook. My approach is simple:

  • Pick a tool and test it.
  • See if it can replace a current task.
  • See if it can enhance what we already do.
  • See if it enables us to do something entirely new.

With that mindset, here’s how I currently use AI tools in my marketing workflows.

1. Writing Assistant for Marketers

This is where AI delivers the most value for me. Large language models—especially ChatGPT—help me write more clearly and effectively.

I rarely ask AI to draft content from scratch. Instead, I write a rough version first (emails, blog posts, social content, technical docs) and then ask ChatGPT to:

  • Make it clearer, more concise, and free of errors.
  • Add supporting research if useful.
  • Tailor it to a specific audience.

Then I refine it in conversation with the model until it feels right. This workflow has saved me countless hours and improved the quality of everything I publish.

2. AI as a Strategic Research Assistant

Much of marketing involves research—market trends, competitor analysis, and building strategic plans.

  • For deep research and synthesis, ChatGPT is excellent.
  • For real-time information—social trends, news, fact-checking—I rely on Grok, which is better at pulling current data.

Together, they’ve completely changed how I approach AI-driven marketing strategy.

3. Data Analysis with AI

I’m currently building a reporting platform using Claude Code. But even before that’s complete, AI already helps me analyze campaign performance.

Here’s my workflow today:

  • I’ve built Looker Studio templates that pull granular data from platforms like Google Ads, Meta, LinkedIn, and TikTok.
  • I export reports to PDF and give them to ChatGPT.
  • ChatGPT summarizes performance, highlights trends, and recommends optimizations.

The upcoming Claude Code platform will automate this further, but even now AI is a powerful tool for marketing data analysis.

4. Coding & Tagging Assistant for Marketing Ops

Advertising operations often require custom coding—JavaScript, Python, or complex Google Tag Manager setups. This is where Claude Code shines.

My process:

  • Use Claude in a terminal inside VS Code.
  • Have it write, test, and debug small pieces of code step by step.
  • Gradually add complexity and save everything to private GitHub repos.

Pro tip: always tell the AI which version of an API, module, or tool you’re using, and provide documentation links. It saves time and prevents outdated code.

5. AI for Content Creation

For visuals, I use LeonardoAI and Stable Diffusion to generate images. These tools are especially useful for:

  • Presentation visuals.
  • Web content.
  • Prototyping creative concepts.

While I haven’t used AI much for video yet, AI image generation has already become a staple in my marketing toolkit.

Next Steps in My AI Marketing Strategy

Right now, ChatGPT is my go-to tool, with Claude Code and Grok filling key gaps. Gemini is in the mix, but its output hasn’t impressed me as much.

For the rest of 2025, my focus is on:

  1. Finishing my data platform with Claude Code.
  2. Developing a full AI image workflow for consistent styles, characters, and lighting across projects.
  3. Exploring agent-based workflows that automate more of the marketing process.

Final thought:

AI in marketing isn’t about mastering every tool—it’s about experimenting, testing, and building systems that make you more effective. The marketers who adopt this mindset today will be the ones leading tomorrow.