AI for marketing

The pattern is always the same: full brief in, explicit constraint in the request, human review on the way out. None of this is magic — it is the principle behind why AI answers come back generic, applied to marketing work.

Copywriting that converts

Instead of asking “write an ad,” give the full brief:

The word limit is what keeps the copy from going generic, and the justification forces the model to show its reasoning — so you debate the idea, not the sentence. Then pick two and run a second round from a different angle (social proof, urgency, the problem itself) to compare side by side.

Competitive analysis in 15 minutes

“Analyze these 3 competitor websites: [paste URLs or describe]. Compare: positioning, differentiators, visible weaknesses, and opportunities for us.”

AI does not replace market research, but it does hand you a structured starting point in minutes. Ask for the output as a table so the comparison stays readable — and double-check anything critical yourself, because the model is working from the public text you pasted, not from what happens inside their company.

Campaign reporting

Paste the raw numbers and ask: “Interpret these numbers. Highlight 3 actionable insights and 2 watchpoints. Format: 1 paragraph per insight, with a concrete recommendation.”

The requested format does half the work: skip it and you get a list of safe generalities. If the report is going to a director, follow up with “rewrite this in 5 lines, no jargon” and keep both versions — the long one for the team, the short one for whoever decides.

Reverse brief and content planning

Check the brief before it goes out

“You are a marketing director. Read this creative brief and tell me what's missing for the agency to execute it properly.”

Finding the gap in the brief is far cheaper than finding it in the delivery. The AI lists what was never defined — audience, channel, deadline, approval path — and you fill it in before it leaves the building.

Build the content plan

“Based on our product [describe] and persona [describe], suggest 10 blog article themes. For each: suggested title, 3 subtopics, and primary keyword.”

Treat the list as an idea bank, not a calendar. Cross it with what your team can actually ship and what your audience actually asks — a topic that answers no real question becomes a post nobody reads. For day-to-day SEO, pair it with SEO for small businesses.

What AI doesn't replace

It speeds up drafting and organises analysis. It does not know your customer, read the room, or take responsibility for what goes live. Positioning calls, message approval, and measurement stay yours — and every asset still needs a human before publish.

Two extremes to avoid: pasting customer data you don't need, and shipping text nobody reviewed. For a steady stream of practical marketing reading without the hype, the HubSpot blog and Mailchimp's resources are a solid place to start.

Frequently asked questions

Can AI write the whole campaign by itself?

No, and it shouldn't. It covers copy variants, drafts, and structure; the call on what actually runs is still yours. The working loop is to request options, pick one, and rewrite it with the context only you have.

How do I keep the copy from sounding generic?

Put audience, constraint, and tone reference in the same message. Then ask for the opposite of what came back: if it reads formal, send it back for something punchier. What makes your brand distinctive is not in the model — it is in what you feed it.

Is it fine to have AI analyse competitors?

Work from public material: site copy, visible offers, published posts. Don't paste anyone's internal documents or lift their creative. And treat the read as a hypothesis to check, not as a fact about their business.

How much time does this actually save?

It depends on how many review rounds you cut. The gain is not publishing without review — it is reaching a first draft close to the final format, so the saved time goes into more testing rather than less scrutiny.

For the skeleton behind these prompts, see the Before/After Method applied to copy: same input, two outputs, you keep the one that works.