10 AI Marketing Prompts That Actually Work

AI marketing prompts are everywhere right now. Blog posts, YouTube videos, LinkedIn threads full of people promising that the right prompt will make your campaigns write themselves.

Here's what actually happens: you paste a generic prompt into ChatGPT, get back a list of "key value propositions" that could describe any company in your industry, and spend 20 minutes editing out phrases like "synergistic solutions" and "best-in-class service." The output is technically copy. It is not your copy.

The problem isn't AI. The problem is that most people treat it like a vending machine: put in a vague request, expect a finished product. Good AI marketing prompts work the same way good briefs do. You have to put in the real stuff: the customer, the context, the constraint, the voice.

This article gives you 10 prompts you can actually use. Not magic. Just a faster starting point, so you can spend your time on the part that actually matters: deciding if it's any good.

The formula behind every AI marketing prompt that works

Every prompt in this list follows the same basic structure. Role, context, task, constraints, format. That's it.

Role: what kind of expert should the AI be acting as? A direct-response copywriter? A brand strategist? A skeptical editor?

Context: what do you actually sell, who buys it, and what do they care about?

Task: what specific thing do you need produced?

Constraints: word limits, tone, what to avoid, what to include.

Format: bullet list, paragraph, table, email, whatever you need to paste somewhere.

You can read more about the role-context-task framework in the broader AI prompts guide for work, but the short version is: the more specific you are going in, the less editing you do coming out. Treat it like briefing a smart intern who's never heard of your company, your customers, or your category.

The biggest mistake marketers make with this structure is skipping the context entirely. "Write me a landing page for a SaaS product" is not a brief. "Write me a landing page for a project management tool targeting operations managers at 50-200 person companies who are drowning in spreadsheets and need to justify the purchase to a CFO" is a brief. One of those gets you something you can work with.

AI marketing prompts for understanding customers and positioning

These are the prompts you should run before you write a single word of campaign copy. Most AI marketing fails because it skips this step entirely and jumps straight to drafting. That's backwards.

Good positioning doesn't come from the AI. It comes from your customers. What it can do is help you process and organize what you already know faster, spot patterns in your research, and turn raw customer language into campaign angles you can test.

Prompt 1: Extract pain points from customer notes

Act as a customer research analyst. I'm going to paste anonymized notes from [X customer calls / support tickets / reviews]. Extract the top 5 recurring pain points, written in the customer's own language, not marketing language. For each one, note how often it appears and one direct quote that represents it. Do not invent problems that aren't in the notes. Format as a table.

[Paste anonymized notes here]

Prompt 2: Turn positioning into campaign angles

Act as a senior brand strategist. Here is our positioning statement: [paste it]. Our primary audience is [describe them]. Generate 6 distinct campaign angles, each with a different emotional or rational hook. For each angle, write one potential headline and one sentence explaining the core message. Avoid superlatives, vague claims, and anything that sounds like every other company in our category.

Prompt 3: Create a content brief

Act as a content strategist. I need a brief for a [blog post / video / email series / whitepaper] targeting [audience]. The topic is [topic]. The business goal is [goal: awareness / leads / retention]. The reader's main question is: [question]. Include: recommended structure, key points to hit, what to avoid, tone guidance, and a suggested title. Format as a one-page brief.

One important note before you paste anything: don't include real customer names, raw support tickets with identifying details, unreleased product specs, or anything your legal or compliance team would wince at. Anonymize before you prompt.

Prompts for drafting copy

Once you have the positioning and brief, these prompts do the drafting work. They won't get it right first time. That's normal. Your job is to edit, not to publish the first output.

Think about it like this: a copywriter who's never worked on your account and had no briefing will produce something generic. An AI that's never worked on your account and had no briefing will produce something even more generic, because at least the copywriter can ask a follow-up question. The prompts below are designed to give AI the equivalent of a proper briefing before it starts typing.

Prompt 4: Draft landing page copy

Act as a direct-response copywriter. Write landing page copy for [product/service]. The offer is: [describe it]. The primary audience is: [describe them]. The main pain we solve is: [pain]. Our differentiator is: [differentiator]. Include: a headline, a subheadline, three benefit bullets (outcome-focused, not feature-focused), a short social proof placeholder, and a CTA. Under 250 words total. Write in a [confident / friendly / no-nonsense] tone. Do not make any claims we can't prove.

Prompt 5: Write email campaign variants

Act as an email marketing specialist. Write 3 variants of a [welcome / nurture / promotional / reactivation] email for [audience]. Each variant should lead with a different angle: [angle 1], [angle 2], [angle 3]. Keep each email under 200 words. Subject line for each should be under 50 characters. Use a [tone] voice. Avoid spam trigger words. End each email with one clear CTA.

More email-specific prompt templates are in the AI email prompts guide if you want to go deeper on that format specifically.

Prompt 6: Create social post variations

Act as a social media copywriter. Repurpose this key message for 4 different social formats: a short LinkedIn post (150 words), a Twitter/X thread opener (2 tweets), an Instagram caption with hashtag suggestions, and a short-form video script hook (first 10 seconds only). Key message: [paste it]. Audience: [describe]. Brand voice: [describe or paste a sample].

Prompts for editing, repurposing, and quality control

Writing is actually the easy part. The prompts in this section are the ones that separate people who get value from AI from people who publish embarrassing copy with incorrect statistics and hollow claims.

The editing and quality control step is where most marketers give up the real advantage. They use AI to draft, then publish without review. That's how you end up with a case study that references a client you lost, a statistic that doesn't exist, or a headline that makes a claim your product can't back up. Not a hypothetical. This happens constantly.

Prompt 7: Repurpose a long article into multiple formats

Act as a content repurposing specialist. I have an article on [topic]. Repurpose it into: a 5-bullet LinkedIn post, a 3-email newsletter sequence outline, one short FAQ (5 questions with brief answers), and two short-form video script hooks. Do not add claims or facts that aren't in the original article. Here is the article: [paste it]

Prompt 8: Review copy for generic claims

This is possibly the most useful prompt in this list, and the one people skip most.

Act as a brutally honest copy editor. Review the following marketing copy. Flag every claim that is: (1) unverifiable or unsupported, (2) so generic it could describe any competitor, (3) jargon that a customer wouldn't actually use, (4) a superlative with no evidence. For each flag, suggest a more specific alternative or note that we need a real proof point. Here is the copy: [paste it]

Run your AI-generated drafts through this before you touch publish. Understanding what AI is actually good at versus what it's bad at will help you know why this step matters: AI generates plausible-sounding text, not verified claims.

Prompt 9: Plan a lightweight experiment

Act as a growth marketer. I want to test [hypothesis: e.g., "shorter CTAs convert better than longer ones" / "pain-point subject lines outperform benefit-led ones"]. Help me design a simple A/B test. Include: what exactly to test, how to set up a clean control vs. variant, what metric to track as primary success signal, what sample size or time window is needed before drawing a conclusion, and what result would change my behavior. Keep it practical for a team without a data scientist.

Prompt 10: Post-campaign retrospective

Act as a marketing analyst. Help me run a retrospective on a recent campaign. I'll paste the brief and the results. I want you to: summarize what the campaign set out to do, identify the gaps between expectation and outcome, suggest 3 questions I should be asking about why it performed the way it did, and propose 2 test ideas for next time. Do not fill in data I haven't given you. Here is the brief: [paste it]. Here are the results: [paste anonymized performance data]

How to get better AI marketing prompt output without better prompts

This sounds counterintuitive, but stick with it. The single biggest improvement most marketers can make isn't writing more sophisticated prompts. It's building a reusable context block.

A context block is a short document you paste at the top of almost any prompt. It covers your product, your audience, your tone of voice, your key differentiators, and what you're not. Once you have it, you stop briefing AI from scratch every time. You just drop it in.

Here's what a minimal version looks like:

Company: [name]
What we sell: [one sentence]
Who buys it: [specific audience, not "businesses" or "marketers"]
Why they buy it: [the real reason, not the feature list]
Main competitor we're often compared to: [name]
Why customers choose us over them: [specific, honest answer]
Tone: [2-3 adjectives, with one example sentence]
Things we never say: [list 3-5 phrases or approaches to avoid]

Takes about 20 minutes to write once. Saves you the same clarification dance every single time you open a new chat. Paste it before any prompt in this list and the output quality goes up noticeably, because you've eliminated the ambiguity that produces generic output.

Some teams build a more detailed version that includes real customer quotes, example campaign lines they've approved in the past, and notes about what's flopped. That's the version worth building over time.

What you still own, no matter how good the prompts get

Here's the thing about AI marketing prompts: none of them replace the judgment calls.

AI can draft a landing page. It cannot tell you whether the offer is actually compelling, whether the pricing is right, or whether you're targeting the right audience segment. It can suggest campaign angles. It can't tell you which one aligns with where your company is headed, what the sales team is hearing on the ground, or what your competitors just announced.

Dee covers this in Don't Replace Me, calling it the taste moat: the ability to look at a page of plausible output and know whether it's differentiated, true, and worth publishing. That judgment is still yours. The AI doesn't know your customers. It knows what texts about customers generally sound like.

You also remain responsible for everything that goes out the door. That means: verifying every product claim before it goes live. Double-checking pricing, legal language, and compliance requirements. Confirming any case study or testimonial actually happened. Making sure any statistic came from a real source, not a model that confidently invented it.

Never publish AI-written marketing copy that makes a claim you cannot defend. That's not a disclaimer. That's just basic brand accountability.

The people who are building a real advantage with AI marketing tools aren't the ones using the cleverest prompts. They're the ones who understand their customers deeply, have a strong point of view on positioning, and use AI to move faster through the drafting work so they can spend more time on the strategy. If you're curious which parts of marketing humans still genuinely own and why, that breakdown is here.

A few things you should never paste into a prompt

Before you run any of these prompts: a short list of what not to include.

Don't paste real customer names or identifying information. Don't include raw data with private details from your CRM or support system. Don't paste unreleased product plans, pricing strategy, or M&A information. Don't include contract terms, legal agreements, or anything that would give your legal team a headache. Don't paste revenue figures or performance data that's commercially sensitive unless your company has a clear policy allowing it.

Anonymize, paraphrase, or summarize the sensitive parts. The AI doesn't need the real names to help you with the copy.

This applies to free tools especially. Review OpenAI's enterprise privacy notes and Anthropic's privacy policy if you're using these tools in a professional context. Most enterprise plans have different terms than free tiers. Check what your company is actually using before you paste anything sensitive.

Frequently asked questions

What's the best AI marketing prompt for writing copy?

There's no single best prompt, but the most effective ones follow the same pattern: specify the role (e.g., "act as a direct-response copywriter"), give real context about your audience and offer, set clear constraints on length and tone, and ask for a specific format. Generic prompts get generic output. The prompt for landing page copy in this article (Prompt 4) is a solid starting point for most marketers.

Can I trust AI to write my marketing copy?

Use it to draft, not to publish. AI can produce plausible-sounding copy quickly, but it doesn't know your customers, can't verify its own claims, and has no idea whether your product actually delivers what the copy promises. Every piece of AI-generated copy needs a human to check it for accuracy, brand fit, and whether it's actually true.

Is it safe to paste customer data into ChatGPT or Claude?

No. Don't paste real customer names, emails, support tickets with identifying information, or any personal data without proper authorization and an understanding of what the tool does with that data. Anonymize before you prompt. When in doubt, check with your legal or compliance team before pasting anything sensitive.

Will AI replace marketing jobs?

Not the whole job. AI is getting fast at producing drafts, variations, and summaries. It's not good at knowing which of those variations is worth sending, what the customer actually cares about, or how to position a product honestly in a crowded market. The marketers who will feel the squeeze are the ones whose entire job was producing volume of mediocre copy. Strategy, taste, and customer understanding still require a person.

How do I make AI marketing prompts produce less generic output?

Run prompt 8 from this article: the copy review prompt that flags unverifiable claims, generic phrases, and jargon. Beyond that, make your prompts more specific, and build a reusable context block with your product, audience, differentiators, and tone that you paste at the top of every chat. Generic output usually means generic input.

What should I use AI for in a marketing workflow?

Good uses: drafting, brainstorming angles, creating variations, repurposing content, pressure-testing copy against a skeptical editor, building briefs, and running retrospective analysis. Bad uses: sourcing statistics, making product claims, replacing customer research, or hitting publish without review.