
[NOTE: In my last post I worked with GPT4o to help me convert some presentation materials into a post. In this post I worked with Gemini 1.5 Pro with Deep Research to research opportunities for copywriters working with AI. It took a bit of back and forth, but I’m happy with what we finally came up with.]
This post is specifically for copywriters and content creators who are already familiar with the basics of LLMs (Large Language Models) and are ready to take their AI skills to the next level.
We’ll look at some more advanced techniques and strategies that will help you unlock the full potential of AI and stay ahead of the curve.
Ride the wave or be drowned by the wave!
Beyond Basic Prompts
Forget simple commands like “write a product description.” It’s time to get creative and strategic with your prompts. Think of yourself as a conductor, guiding the AI orchestra to produce a symphony of content.
Here are some advanced prompt engineering techniques to try:
* Framework-Based Prompts: Leverage copywriting frameworks like AIDA (Attention, Interest, Desire, Action) or PAS (Problem, Agitation, Solution) to structure your prompts and guide the AI towards more advanced copywriting outcomes.
* Persona-Driven Prompts: Incorporate detailed buyer personas into your prompts to ensure the AI generates copy that resonates with your target audience. (I’ve mentioned this in previous posts… but have you tried it yet?)
* Style and Tone Control: Train the AI to mimic your writing style or a specific brand voice by providing examples of your previous work or a style guide.
* Iterative Refinement: Don’t settle for the first output. Use follow-up prompts to refine the AI’s response, providing feedback and guidance to achieve the desired result.
Advanced AI Applications for Copywriters
Beyond generating basic copy and content, AI can be used for a variety of advanced tasks that can significantly streamline your workflow and enhance your creativity.
* Content Strategy and Planning: Use AI to analyze competitor content, identify trending topics, and – based on what you learn – generate content calendars for your client projects.
* Market Research and Analysis: Leverage AI to gather insights about your target audience, analyze customer feedback, and identify new market opportunities.
* Personalized Content Creation: Create dynamic content that adapts to individual user preferences and behaviors.
* Content Repurposing and Optimization: Transform existing content into different formats (e.g., blog posts into social media updates) and optimize it for different platforms.
The Embracing the Future of Copywriting with a Human-AI Partnership
As AI continues to evolve, we can use it to empower us with new tools and capabilities.
The most successful copywriters in the age of AI will be those who can effectively partner with these technologies, leveraging their strengths while retaining their unique human touch. Yes, that means adding a high level of Emotional Intelligence to AI-assisted copy and content.
Finally, I recommend you try Gemini 1.5 Pro with Deep Research. It’s a good choice for the more advanced AI applications we just went through. Pick one of those applications and use it to help you with an upcoming project.
As an exercise you can try right now, tackle this one: “Content Strategy and Planning: Use AI to analyze competitor content, identify trending topics, and generate content calendars for your own client projects.”
Want to learn more about AI and Emotional Intelligence? Check out my course, Futureproof Copywriting.