Start with campaign strategy. Define the segment, offer, reader problem, proof, CTA, timing, and the single action you want the reader to take. Then ask the model to create multiple angles, not just one finished email. This is where generative AI for email marketing becomes useful: it lets you compare a benefit-led version, urgency-led version, founder-led version, and proof-led version before investing time in polish.
Once an angle is selected, generate the assets around it. A complete campaign usually needs subject lines, preheaders, email body copy, CTA text, a short version, and a variant. The AI email marketing generator follows that structure so the output is easier to review than a loose chat response.