Guide

AI Prompts for Marketers

AI has become a productivity multiplier for marketing teams — especially for the time-intensive parts of marketing work that require good writing but don't require unique human judgment. This guide covers the specific use cases where AI saves the most time and produces the most useful first drafts for marketing professionals.

How marketing teams are actually using AI

The most effective marketing teams use AI for three broad categories: content production (writing first drafts of copy, social posts, emails, and briefs), research scaffolding (audience analysis, competitive messaging, content gap identification), and asset scaling (creating variations of ad copy, subject lines, and CTAs for testing).

The pattern that separates high-output AI users from low-output ones is simple: they always start with a specific brief before asking for output. A marketing professional who spends 3 minutes writing a clear prompt will get output in 90 seconds that would have taken 45 minutes manually. A marketer who types a vague request will spend 15 minutes editing something that's still not quite right.

Campaign strategy prompts

Campaign brief

Act as a marketing strategist. Create a full campaign brief for a [product/service launch] targeting [audience]. Include: campaign objective, target customer profile, core message, 3 campaign angles to test, channel recommendations with rationale, KPIs, and a 6-week timeline.

Competitive messaging analysis

Analyze the marketing messaging of these 4 competitors in [market]: [names or descriptions]. For each: (a) their core positioning claim, (b) the emotion they're targeting, (c) their apparent target customer, (d) a gap in their messaging we could own. Return as a comparison table.

Audience research

Create a detailed target audience profile for a [product/service] targeting [broad demographic]. Include: specific demographics, psychographics, top 5 pain points, what they've already tried, where they spend time online, what language they use to describe the problem, and what would make them trust a new solution.

Content and copy prompts

Email subject lines A/B test

Write 8 email subject line options for a [campaign type] email targeting [audience]. Include: 2 curiosity-based, 2 benefit-based, 2 personalization-based, and 2 urgency-based. For each, note the psychological lever it uses. Mark the top 3 for A/B testing.

Landing page hero copy

Write 3 versions of the hero copy for a landing page for [offer/product]. For each version: (a) H1 headline (under 10 words), (b) H2 subheadline (1-2 sentences), (c) 3 benefit bullet points, (d) CTA button text. Each version should take a different angle: functional, emotional, and outcome-driven.

Ad copy variations

Write 5 Facebook ad copy variations for [campaign goal]. Each should have a different hook style: (a) problem-agitate, (b) story lead, (c) social proof, (d) contrarian claim, (e) direct offer. For each, also write the headline (under 40 chars) and description (under 25 chars).

Content brief

Create a complete content brief for a blog post targeting the keyword '[keyword].' Include: recommended title, meta description, search intent, H2 structure, recommended word count, top 3 competitors to beat, key questions to answer, one unique angle to take, and 3 internal linking opportunities.

Analytics and performance prompts

Campaign analysis

Act as a marketing analyst. I'm seeing [describe performance situation: e.g., 'email open rates dropped from 28% to 19% after switching to a new subject line format']. Analyze: (a) the most likely causes, (b) what data I'd need to confirm, (c) 3 specific tests to run to diagnose the issue, (d) short-term mitigation steps.

Common mistakes marketers make with AI

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