Develop superior AI-generated copy by first using an AI agent to research and deconstruct the frameworks of top marketers. Then, feed the AI examples of your own writing to distill a unique brand voice. Combining these into a custom 'skill' produces consistent, high-converting copy that feels authentic.

A generic button like "Submit" is a wasted opportunity. The call-to-action is your last chance to persuade the user. Treat its copy as a critical sales variable and A/B test compelling, action-oriented phrases like "Yes, I'm in" to maximize conversions.

Despite the popularity of ChatGPT and Gemini, Claude is the superior tool for marketing and copy-related tasks. Its strength in persuasive writing makes it the go-to for creating scripts, emails, and sales pages that drive action.

Instead of using AI to write final copy, leverage it as a brainstorming partner. Dave Gerhardt uses ChatGPT to generate 15 variations of a subject line. This process allows him to cherry-pick words and phrases, combining them into a superior, human-crafted final version.

Instead of asking AI for a final answer, use it as a sophisticated focus group. Prompt it to embody different customer personas (e.g., "a left-leaning feminist," "a conservative male") and provide feedback on your messaging from those perspectives. This helps refine copy before market testing.

Rephrase call-to-action buttons from a brand command (e.g., "Donate Now") to a user's first-person statement (e.g., "Yes, I want to help"). This simple change in perspective makes the user an active participant, significantly increasing engagement and click-through rates on emails, landing pages, and social media posts.

Generic call-to-action buttons such as "Register" or "Learn More" are less effective. Phrasing CTAs in the first person from the user's perspective (e.g., "Yes, save me my 25%") creates a stronger sense of ownership and urgency, which can significantly increase engagement.

Elevate AI-generated marketing ideas by including a document of behavioral psychology principles (e.g., loss aversion, reciprocity) as part of your initial inputs. This prompts the AI to connect your brand's narrative not just to customer needs but also to fundamental human biases, resulting in more persuasive creative.

Instead of asking an AI tool for creative ideas, instruct it to predict how 100,000 people would respond to your copy. This shifts the AI from a creative to a statistical mode, leveraging deeper analysis and resulting in marketing assets (like subject lines and CTAs) that perform significantly better in A/B tests.