AI for Marketing

Marketing is where AI got adopted fastest and where the output is most uneven. The reason is the same as everywhere else: a vague prompt gives you the bland, on-brand-for-nobody copy that floods the internet now. A prompt loaded with your audience, your offer, and a real customer pain gives you a draft worth editing.

The marketers getting leverage use it for volume and variation — ten ad headlines to test, three email angles, the landing page rewritten for a different segment — not for one perfect piece. AI is a draft engine and an A/B-test feeder. The judgment about what to run is still yours.

Every prompt below works in a free Chatbot App account. No credit card to start.

Try these prompts free

Generate ad headline variations to test

Give it the product, the audience, and the angle. Ask for distinct headlines built on different hooks — not ten rewrites of one idea.

Prompt to copy

Write 10 Google ad headlines (max 30 chars each) for a project-management tool aimed at small agencies. Use genuinely different angles: time saved, client transparency, fewer tools, deadline reliability. Avoid superlatives like "best." Mark which 3 you'd test first and why.

Write an email sequence with a job for each message

Ask for a sequence where every email does one thing — not five emails saying "buy now." Give it the trigger and the offer.

Prompt to copy

Write a 4-email welcome sequence for people who downloaded our free SEO checklist. Each email has one job: (1) deliver + set expectations, (2) one quick win, (3) case study with a real result, (4) soft pitch for the paid audit. Conversational, short, one CTA each.

Repurpose one asset into a week of content

Paste a blog post or webinar transcript and ask it to pull the distinct ideas into formats for different channels.

Prompt to copy

Turn this blog post into: 3 LinkedIn posts (each on a different point from the article, not a summary), 5 tweets, and one short email. Keep my voice — direct, no hype. Pull the actual specifics from the post, don't generalize. [paste post]

Where to be careful

The flood of generic AI copy means generic AI copy no longer works — it's the baseline everyone publishes. The edge now is the specific stuff a model can't invent: your customer's real words, your data, a genuine point of view. Use AI for the draft and the variations; supply the substance yourself.

Common questions

Does AI-written marketing copy hurt SEO?

Google's position is that it ranks helpful content regardless of how it's produced — and demotes unhelpful content, AI or not. Thin, generic AI pages get demoted. AI copy grounded in real data, specifics, and a clear point of view performs like any good content. The how matters less than the quality.

Can AI replace a marketer?

It replaces the drafting hours, not the marketer. Deciding the positioning, knowing the customer, judging which campaign is worth running — that's the job. AI is the fastest copywriter you've ever had, working under your direction.

How do I keep AI copy from sounding generic?

Feed it specifics: real customer language, your actual offer and numbers, the precise audience, and two examples of copy you like. Generic in, generic out. The more real data you put in the prompt, the less it sounds like everyone else's AI.

Try it on your own work

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