Ollie, our Content Executive, makes sure your brand gets noticed. With experience writing content for businesses of all sizes and industries, he knows how to grab readers’ attention and keep them hooked. In his spare time, you can usually find him watching sports, running around Manchester, or cooking up a new recipe in the kitchen.
What you should be asking is, “How do I use AI as a marketing assistant effectively?”
Marketing teams are under constant pressure to make every campaign count.
What can these tools do? How much time will they save me? Are there any risks involved?
This isn’t a question about whether AI is “good” or “bad”. But rather about understanding its role in marketing and how teams can use it safely and effectively.
Around 94% of organisations are using AI in some way or another (MarTech).
But adoption isn’t the same as maturity. Just because a tool is on your team’s “available to use” list doesn’t mean it’s utilised safely or in a way that helps. Without a structured approach, AI can save time in one area but create countless headaches elsewhere. Time saved can then be reinvested into stronger messaging and campaigns that attract the right kind of enquiries.
This is where having a clear operating framework matters. Knowing where AI can support your team and where human oversight should remain. That way, you get the speed and efficiency AI promises without sacrificing authenticity.
It comes down to how you choose to use AI day-to-day.
Not whether you use it outright, but where you rely on it and how much control stays with your team.
That balance determines whether AI becomes a genuine support tool, or something that undermines lead quality and confidence in your pipeline.
You should treat AI as a tool to help your team, not as a strategist to make all decisions. It can help you:
Where teams often get it wrong:
In short, AI supports your marketing but doesn’t replace the human thinking that makes it meaningful or purposeful.
Pulling competitor or market insights so your team spend less time hunting and more time thinking strategically. Also, for blogs, tools like Perplexity can help speed up topic research and supply sources for you to fact-check.
Highlighting trends in behavioural data or feedback that might otherwise get missed.
Turning notes into a first draft ready for human refinement – also, you can feed a previously-written blog into your AI tool and ask for help repurposing it into social posts, email snippets and more (but these still need human oversight).
No more messy, scattered research slowing everyone down – most AI tools have a dictate function too, meaning you can throw your thoughts into a prompt and let AI do the work.
Transcribing, formatting, email management, data analysis and other repetitive work that eats up time.
Summarising campaign performance in plain English, highlighting trends over time and flagging anomalies for your team to review.
Comparing two periods or campaigns to show what improved, what declined, how big the difference is and where optimisation should focus.
Comparing your results to industry averages or historical performance and suggesting realistic targets for the next quarter.
Creating “what if” scenarios based on campaign data to learn what would happen if spend is increased by X amount or forecasts based on current data.
At the end of the day, AI supports analysis. Your team still decides what matters and what to do next.
“AI is a tool, it’s a technology. It’s as useful as the person putting it to work”
86% of marketers say they manually edit AI content before it goes live – and there’s a reason for that (HubSpot).
Humans bring judgement and context that AI cannot. They sense if something sounds off, or if a claim needs checking. If the tone doesn’t feel quite right for the audience or brand, humans are the ones who can spot it.
This matters because trust is fragile. Nearly 60% of consumers say they’re sceptical about the authenticity of content as AI becomes more common (Trendwatching). When content feels generic or careless, it affects who enquires and how committed they are to you and your business.
“AI slop” has become a common phrase
It’s when content feels generic and clearly AI-made – something a human could have made infinitely better, if only they spent a little bit of time on it.
When copy feels general and overly polished, people notice, and they disengage. That often leads to lower-quality leads and more effort required from sales to build confidence later – not forgetting lower engagement generally across social-led campaigns.
In fact, Adam Mosseri, Instagram CEO, has claimed that in today’s world of AI and perfected content, imperfection will become the indicator for authenticity (Instagram).
We’re not saying to make spelling mistakes – but consider that perfection doesn’t equal quality every time. If you want to shelter yourself from the storm of AI-generated content, imperfection is your umbrella.
AI can draft and save time. But deciding what truly represents your brand still sits firmly with people.
That human layer is what builds trust and turns content into something that resonates with your audience.
Yes, AI can help. It’s good at clearing any backlog and speeding up the dull, tedious parts of the job, giving teams time back to spend on more meaningful work.
But it shouldn’t be the tool deciding what you say and how you say it. That’s where things start to slip.
Used well, AI helps teams grow with more confidence. Used poorly, it makes growth harder than it needs to be.
The teams getting the best use out of AI are the ones keeping humans in charge and using AI to support the work, rather than take over.
Want practical examples of using AI in your marketing? Watch the recording of our latest webinar, “Smarter Teams, better marketing: How to drive more revenue in 2026”, to see how teams are using AI with human judgement built in.
MarTech (April 2025)
SEO.com (October 2025)
Digital Marketing Institute (April 2025)
TrendWatching (October 2024)
Instagram (December 2025)
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