EP 81: AI prompt engineering for email marketers: The templates that actually work
Send It! · with Chase Diamond · May 19, 2026 · 34 min
Summary
This episode breaks down the art of AI prompt engineering for email marketers, moving beyond basic commands to craft effective prompts. Learn a four-layer framework—context, task, constraints, and output format—to generate high-quality subject lines and email copy that resonates with your audience and aligns with your brand voice. This episode emphasizes that AI is a powerful tool when used correctly, providing actionable strategies to refine your prompts and maximize your email marketing impact.
Key takeaways
Understand the 'garbage in, garbage out' principle: The quality of your AI output directly depends on the specificity and detail of your prompt. Avoid generic requests to get better results.
Utilize the four-layer prompt framework: Define your context (who you are, target audience, goal), specify your task (what you want AI to do), set constraints (length, tone, what to avoid), and format the output (how you want the response structured).
Provide examples of past successful content: Feed AI data from your top-performing subject lines or campaigns, including their performance metrics, to help it generate new, relevant variations that align with your brand's proven strategies.
Always ask for explanations from the AI: Requesting the AI to explain its reasoning (e.g., why a subject line uses a specific psychological trigger) can help you learn and evaluate the output more effectively.
Iterate and refine with follow-up prompts: Do not expect perfection from the first prompt. Be prepared to use follow-up prompts to refine the AI's output and achieve your desired results.
Focus on specific psychological triggers in your prompts to guide the AI towards more impactful messaging, such as scarcity, urgency, curiosity, or social proof, rather than defaulting to generic approaches.
AI didn't fail you... your prompt did.In this episode of Send It, Jimmy Kim and Chase Dimond unpack why so many marketers are getting generic, unusable output from AI and walk through the prompt structure that fixes it. The problem isn't the tool, it's that nobody taught marketers how to talk to it. Most prompts are missing context, lack constraints, and leave AI guessing at the goal. They break down the four layer structure that turns vague requests into usable copy, then share the exact templates they use every day for subject lines, campaign ideation, body copy, brand voice training, SMS messages, and preview text. EP 81: The 4 layer prompt structure that fixes bad AI outputHere's what they cover: - The four layer prompt structure that turns lazy prompts into usable copy- The subject line and campaign ideation prompts that produce real variety, not filler- How to train AI on your brand voice using past winners and proven examples- The body copy, SMS, and preview text prompts they use every single day- The common prompt mistakes that produce bad AI output and how to fix themThank you our friends at Omnisend, Superscale, Retention Roadshow and eCom Email Certified for sponsoring the podcast!Omnisend is an all in one eCommerce email and SMS marketing automation platform that enables marketers to engage customers and drive sales through personalized experiences. https://www.omnisend.com/sendit/Superscale is the first AI agent built for social marketing. It connects to your Meta, TikTok, and Google ad accounts, researches your competitors, and turns a single prompt into hundreds of high-converting creatives built on real performance data. Trusted by Taxfix, SumUp, and backed by Creandum. https://superscale.ai/?utm_source=SenditWe're hitting the road! Join us for a private, half-day retention w
Understand the 'garbage in, garbage out' principle: The quality of your AI output directly depends on the specificity and detail of your prompt. Avoid generic requests to get better results.
What does this episode say about email & sms?
Utilize the four-layer prompt framework: Define your context (who you are, target audience, goal), specify your task (what you want AI to do), set constraints (length, tone, what to avoid), and format the output (how you want the response structured).
What does this episode say about conversion & cro?
Provide examples of past successful content: Feed AI data from your top-performing subject lines or campaigns, including their performance metrics, to help it generate new, relevant variations that align with your brand's proven strategies.
What does this episode say about ai & automation?
Always ask for explanations from the AI: Requesting the AI to explain its reasoning (e.g., why a subject line uses a specific psychological trigger) can help you learn and evaluate the output more effectively.
What does this episode say about ai & automation?
Iterate and refine with follow-up prompts: Do not expect perfection from the first prompt. Be prepared to use follow-up prompts to refine the AI's output and achieve your desired results.
