Using AI in Your Marketing Without Sounding Like Everyone Else

AI writing and image tools have made it easy to produce more marketing content than ever. That's also the problem: when everyone can generate the same polished-but-generic post in ten seconds, generic content stops working.

The brands getting value from AI aren't using it to replace thinking. They're using it to remove the busywork around thinking.

Where AI genuinely helps

• Research and summarising: condensing long reports, customer reviews or call transcripts into themes you can act on.
• First drafts of structured content: product description variations, FAQ drafts, outlines, email subject line options.
• Repurposing: turning one long article into social posts, a newsletter section and video script notes.
• Analysis help: writing spreadsheet formulas, spotting patterns in campaign exports, explaining unfamiliar metrics.
• Ideation: generating many angles quickly so you can pick the few good ones.

Where it hurts

• Facts and statistics. AI tools can produce confident, specific and completely invented numbers, quotes and sources. Never publish a statistic you haven't traced to its original source.
• Your voice. Default AI output has a recognisable style: balanced, enthusiastic, lots of lists, few opinions. Readers increasingly notice it.
• Differentiation. If a competitor can type the same prompt and get the same answer, it's not a competitive advantage.
• Experience. AI hasn't run your business, served your customers or made your mistakes. That first-hand detail is what makes content worth reading, and what search engines increasingly reward.

A workflow that keeps you in charge

1. Start with your own raw material

Before opening any AI tool, write down what you know: a customer story, a result, an opinion, a mistake, a process you use. Even rough bullet points. This is the part nobody else has.

2. Use AI to shape, not to source

Give the tool your raw notes and ask it to suggest a structure, tighten the wording or produce variations. You're editing your own ideas, not adopting someone else's.

3. Write a voice guide and use it

Describe your brand voice in a few lines with real examples: words you use, words you avoid, how formal you are, how you handle humour. Include it in your prompts, and use it as the checklist when editing.

4. Fact-check everything

Verify every claim, name, number and link against a primary source. If you can't verify it, cut it.

5. Edit like a human reader

Read the final draft aloud. Cut filler phrases and the generic intros and conclusions AI loves. Add specifics: names of places, actual prices, real timelines, honest trade-offs.

6. Be transparent where it matters

You don't need to label every caption, but be honest with your audience, follow each platform's rules on AI-generated images, and never present AI-generated people, testimonials or reviews as real.

Search engines and AI content

Google's guidance is that it rewards helpful, reliable, people-first content regardless of how it's produced, and treats mass-produced content made primarily to manipulate rankings as spam. In practice, that means AI-assisted content can rank, but only if it's genuinely useful, accurate and original. Publishing large volumes of unedited AI text is a fast way to make a site look low-value to search engines and ad networks alike.

The bottom line

Use AI to go faster at the parts of marketing that don't need you. Spend the time it saves on the parts that do: talking to customers, having a point of view, and checking that every piece you publish is true.