How to Prompt AI as a Marketer

TL;DR: Generic prompts produce generic output. The marketers getting real value from AI treat it like a briefed creative partner: give it a specific brief, feed it current data before asking it to produce anything, and tell it what your brand sounds like upfront.

Marketers are usually among the first to try new AI tools and among the most disappointed by them. The output is generic. The copy sounds like it was written by a machine and the ideas feel too safe.

There's a mechanical reason for this. Language models generate text by predicting the most statistically likely next word given your input. When your prompt is vague, the model has nothing to anchor to except patterns learned from training. Those patterns are the statistical average of everything ever written on that topic. Most models are also fine-tuned on human feedback that rewards broadly satisfying outputs, which pushes results further toward inoffensive rather than distinct.

A brand with a point of view isn't trying to please everyone. The model kind of is.

What we've seen is that the marketers getting genuinely useful output are treating it less like an autocomplete tool and more like a briefed creative partner. When you give it something specific, you get something specific back.

What can AI actually do for marketers?

80% of marketers already use AI for content, but most of them use it for the high-volume work that eats up a week: competitive research, content variations across channels, brand monitoring. Where it tends to fall flat is deciding what matters or what angle to take. That part still needs a person.

What actually changes the quality of the output is chaining the two together. Send the AI to go check something first: what's performing well for competitors this week, what conversations are happening around a topic on LinkedIn or Reddit, what you've already published on something similar. Then ask it to produce something based on what it found. The brief writes itself and the output is grounded in what's actually happening, not in what statistically sounds like marketing copy.

With Strawberry, your companion can run those sweeps before it drafts anything. You don't have to hand it the context. It goes and gets it.

What's the difference between a good and bad marketing prompt?

A good marketing prompt is a brief. A bad one is an instruction without context. The difference in output quality is significant.

The most common mistake I see is something like: "Write a LinkedIn post about our new feature." That gives the AI almost nothing to work with. No audience, no tone, no goal, no sense of what you want someone to feel when they read it.

What works is treating the prompt like a brief. Audience, goal, channel, what success looks like. Then trust the AI to produce a first draft and bring your own judgment to the edit.

What are the best AI prompts for marketers?

These are the prompts we see working consistently for marketing teams using Strawberry.

Repurposing content across channels

Help me repurpose a piece of content for different channels. Ask me what the original content is and which channels to adapt it for. You might want to check what you know about our tone of voice and audience before adapting. Then give me a version for each channel that fits the format natively, not just a copy-paste.

The last line is what separates a good adaptation from a bad one. LinkedIn, email, and a short video script are very different formats.

Researching what competitors are publishing

Help me research what our competitors are publishing and what's performing well for them. Ask me which competitors to look at and which channels matter most. Then look at their recent content and tell me what themes they're focusing on, what formats are working, and where there are gaps we could fill.

This is the kind of competitive analysis that usually takes a morning. With a well-prompted AI, it takes minutes.

Drafting a content brief

Help me draft a content brief for a new piece. Ask me what the topic is, who the audience is, and what we want them to do after reading. You might want to check what you know about our brand positioning before structuring the brief. Then give me a brief a writer or designer can use directly.

Monitoring brand mentions and social conversations

Help me monitor what people are saying about us online. Ask me what to monitor and where to look. Then check relevant channels, forums, and social platforms for mentions, and summarise what's being said, flagging anything positive worth amplifying or negative worth addressing.

Planning a campaign

Help me plan a content campaign. Ask me what the campaign is for, who it's targeting, and what we're trying to achieve. You might want to look at what's worked before and what competitors have done in a similar space before suggesting a structure. Then give me a phased plan with content types, channels, and timing.

Writing email newsletter content

Help me write this week's email newsletter. Ask me what the main story is and who it's going to. You might want to check what you know about our tone and our usual newsletter format. Then draft a version I can review and edit before it goes out.

Why does AI marketing content still feel generic?

Because most people skip the briefing step. Research shows humans can barely distinguish AI text from human text at a surface level. The difference readers notice is whether anyone cared about what was being said.

What we see the most successful marketers do is spend time upfront actually briefing their companion. What does the brand sound like? Who are we talking to? What do we never say? Strawberry automatically stores all of that in memory. Every session, your companion already knows your brand before you say a word.

The prompts above are designed to pull that context in before producing anything. Skip the briefing step and it guesses. The guess is generic.

The same pattern shows up across every function. We've written the same guide for sales teams and recruiters. The fix is always the same: more context upfront, less guessing.

What's the best AI tool for marketers?

An AI that doesn't know your brand is a text generator with good grammar. Strawberry Browser is an AI browser where your companion builds context about your brand and audience over time, so it stops guessing and starts sounding like you.

Try it at strawberrybrowser.com.