7 rules for using generative AI in marketing without sounding like everyone else
Generative AI can draft an email, write a product description, suggest ad copy, summarise customer feedback, and produce an image in seconds. For any small team running lean, that speed is genuinely useful.
The risk is not using AI. The risk is using it badly and producing marketing that sounds identical to every competitor who fed the same prompt into the same tool. Customers notice generic copy. They notice when a brand has stopped listening. The goal is to put AI in the right places and keep people in charge of the parts that build trust.
Here is a seven-step framework for doing that.
️ Step 1: Map where AI actually fits before buying anything
Start with a simple audit of how your team spends its week. List the recurring jobs: writing social posts, resizing images, building reports, answering routine enquiries. Then sort them into three groups: repetitive tasks with clear rules, tasks that need judgement, and tasks that depend on relationships or brand voice.
The first group is where AI tends to earn its keep. Reformatting content for different channels, tagging customer feedback by theme, and turning a webinar transcript into a first draft of notes are all good candidates. Check the marketing automation tools you already pay for too, as many now include AI features that go unused.
The second and third groups can still benefit from AI, but only as an assistant. Mapping this first stops you buying tools because they are fashionable rather than because they solve a real problem.
Step 2: Write down your brand voice in plain language
AI tools copy whatever they are given. Give them nothing and they fall back on a bland, overly cheerful style that sounds like a thousand other companies. Before anyone on your team starts prompting, write a short voice guide.
Describe how your brand talks in a few sentences. Are you warm and informal, or calm and expert? Which words do you use, and which do you never use? Include two or three examples of past copy you are proud of. Paste this guide into your prompts or saved instructions so every draft starts closer to your actual voice.
Step 3: Keep a human editor on everything customers see
This is the rule that matters most. Anything published under your name, whether it is a blog post, an advert, a newsletter, or a social reply, should be read and approved by a person before it goes out.
The editor’s job is more than fixing typos. They need to check facts, figures, and claims, because AI tools can state things confidently that are simply wrong. They should cut the filler phrases and vague promises that creep into machine-written text. And they should add the details only your business knows: a customer story, a lesson from a recent project, an honest opinion. Those specifics are what make content feel human.
Step 4: Use AI to understand customers, not to replace talking to them
Some of the most useful applications here are analytical. You can ask a tool to group hundreds of survey comments into themes, spot common questions in support tickets, or summarise what reviewers praise and complain about. That gives your team a faster read on what customers care about.
Treat these summaries as a starting point, not a conclusion. Read a sample of the original comments yourself, because nuance and tone often get lost in aggregation. Then keep the human conversations going: customer interviews, sales calls, time with your support team. AI can tell you what people are saying. It takes a person to understand why.
Step 5: Be open about how you use AI
Customers are generally comfortable with businesses using AI behind the scenes. What erodes trust is the feeling of being misled. If a chatbot answers questions on your website, make it clear it is a bot and offer an easy route to a real person. If images are AI-generated, do not present them as genuine photos of your products, staff, or customers.
Set internal rules too. Decide what data can and cannot be pasted into AI tools, particularly anything involving customer details, and make sure your approach fits UK GDPR. A short written policy protects your customers and gives your team the confidence to use these tools without second-guessing every decision.
Step 6: Measure whether AI is actually helping
It is easy to assume generative AI is saving time and improving results. It is better to check. Pick a few measures before you roll a tool out: hours spent producing a monthly newsletter, email open and click rates, or conversion rates on landing pages. Compare them before and after.
Look at quality as well as speed. If AI-written emails go out faster but get fewer replies, that is not a win. Run small tests where you can, comparing a version written mainly by a person against one drafted by AI and edited. Let the results guide where you use it next.
Step 7: Bring in specialists when the stakes go up
For smaller tasks, most teams can experiment on their own. When AI starts to touch larger parts of your marketing, the calculus changes.
Three areas where specialist help is worth considering:
- AI search visibility: Whether your brand shows up when people ask ChatGPT or other AI search tools for recommendations is now a distinct discipline alongside ranking on Google.
- Personalisation at scale: Connecting AI to your customer data in a way that does not create compliance or trust problems.
- Answer engine optimisation: NP Digital, for instance, offers answer and generative engine optimisation alongside traditional SEO, which reflects how quickly this area is changing.
Whichever agency you consider, ask them to explain where people stay involved in their process. If the answer is “not much,” keep looking.
The bottom line
AI is a capable assistant. It is not a replacement for knowing your customers, having a point of view, or caring about the quality of what you publish. The teams getting the most from it are using it to clear away routine work so people can spend more time on ideas, relationships, and craft.
Start small, set clear rules, keep a human editor in the loop, and measure what changes. That way you get the speed without losing the personality that makes customers choose you.
I’m founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs.
With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I’m dedicated to sharing genuine, useful product insights and tips.
At BizStack, I aim to cut through the digital noise to provide clear, actionable advice.
And more than all else, I’m a father to a (always) little girl and a husband.
Contact me at [email protected] for assistance.
