AI Prompts for Marketing: Copy, Campaigns and Content
Marketing prompts fail when they skip the brief. Here's the context to include, plus prompts for ads, email, landing pages and SEO content.
Most marketers who say AI writing is useless are giving it a one-line instruction and judging the result. "Write an email about our new feature." Of course that comes back flat. The model has no idea who reads it, what they already believe, or what you want them to do next. It fills the gaps with averages, and averages sound like every other SaaS email in the inbox.
The fix isn't a magic phrase. It's the discipline you'd apply briefing a freelance copywriter, compressed into a prompt you can reuse. Here's how that works across the formats marketers actually ship.
Write the brief, not the request
A usable marketing prompt carries seven things. Miss any and the model guesses.
- Product: what it does in plain language, plus the one thing it beats the obvious alternative at.
- Audience: not "small business owners" — "solo bookkeepers with 15 to 40 clients who still reconcile in spreadsheets."
- One desired action: book a demo, start a trial, reply. One. Copy that asks for three things gets none.
- Tone: name it and anchor it ("dry, specific, no exclamation points — a senior engineer explaining something to a peer").
- Length: characters for ads, word counts for sections, line counts for social.
- Proof points: numbers, customer names, integrations, guarantees. Without these the model invents flattery.
- Objections: what makes this person hesitate. Price, switching cost, "we already have something for that."
That last one does the most work. Good copy is mostly objection handling in disguise. If your prompt never mentions that prospects think migration takes a month, the draft never addresses it. The fundamentals of writing prompts cover the general pattern underneath this.
Ad copy: generate by angle, not by volume
Asking for "20 ad variations" gets 20 rewordings of one idea. Ask by *angle* and you get genuinely different tests.
Note the banned-words line. Models default to a small set of promotional adjectives, and naming them cuts most of the mush. Keep a running list from your own edits and store it in a saved prompt library so you're not rebuilding the brief each campaign.
Email sequences and subject lines
Sequences fail when every email restates the value proposition. Give each message a distinct job first.
Ask for subject lines *after* the body, in the same call. Lines written first describe an email that doesn't exist yet. Lines written after tend to pull a real detail from the copy.
Landing pages: prompt the structure first
Don't ask for "landing page copy." Ask for the outline, argue with it, then fill it in. Two steps beat one long generation almost every time.
Asking what's missing surfaces gaps in your own brief — often you'll find you have no proof for your central claim. Once the structure holds, run a second pass per section with a word budget and your voice rules attached. If a section reads fine but sounds off, rewriting the instruction fixes it faster than editing output line by line.
SEO briefs, honestly
AI is good at the scaffolding stage: pulling the questions a topic must answer, structuring an outline, listing subtopics competitors cover. A solid research assistant.
It's a bad ghostwriter for anything you want to rank. Thin AI content doesn't rank — not because a detector flagged it, but because it says nothing a reader couldn't get from the first result. What ranks has something only you have: your data, your customer calls, your screenshots, your opinion about the tradeoff nobody mentions. Use the model for the frame. Bring the substance yourself.
Those five "original data" slots are the whole point. They turn a template into something worth publishing.
One asset, many formats
Repurposing is where prompting pays for itself. The mistake is asking for "social posts from this article," which yields five near-identical summaries. Specify each platform's shape and force a different idea per post.
"Invent no numbers" belongs in every repurposing prompt. Fabricated statistics are the most common way AI-assisted content embarrasses a team.
Lock the voice once, reuse it everywhere
Repeating brand rules in every prompt is how they drift. Put them in a reusable instruction layer: audience, tone, banned words, formatting defaults, claims you're legally allowed to make. A well-built system prompt means each new task carries only the task — brief in, draft out — and the voice holds no matter who on the team runs it.
Use hard constraints, not vibes: "never claim we're the only X," "write prices as $29/mo," "say 'customers' not 'users'," "no sentence over 25 words in ad copy." Then add two annotated before/after examples from past edits. That pairing teaches more than a paragraph of description. The same logic carries over to prompting for design work.
Edit so it doesn't read like a draft
Every AI draft has the same tells. Cut them in one pass:
- Delete the first sentence of every section. Usually throat-clearing.
- Replace abstract nouns with the thing itself. "Solutions" becomes "the reconciliation tool."
- Kill triples. AI loves "fast, simple, and powerful." Pick one and prove it.
- Break the rhythm. Every sentence at 18 words reads like software. Add a four-word one.
- Add one detail the model couldn't know — a customer's actual complaint, a number from your dashboard.
- Read the CTA out loud. If it sounds like a template button, rewrite it.
When a whole draft misses rather than a line, the brief was wrong, not the model. Run it through a prompt optimizer to find what's underspecified, or start from a structured base with a ChatGPT prompt generator. For more patterns worth stealing, this guide to ChatGPT prompts is a good next stop.
The teams getting real leverage aren't generating more copy. They're getting better first drafts faster, then spending the saved hours on what a model can't do — talking to customers and deciding what's actually true.
