ChatGPT and marketing agencies: Why you should be thinking about this now

Artificial intelligence has already changed the way many Norwegian businesses think about marketing. Yet a surprising number of agencies and companies are sitting on the fence, unsure whether ChatGPT and similar tools are something they should actually be considering right now. The answer is yes, and the reason is simple: those who wait too long risk falling behind competitors who are already using AI to produce content faster, target audiences more precisely and free up time for what actually requires human creativity. The question is not whether marketing agencies should use ChatGPT, but how they can do so effectively. And it’s about far more than just letting a chatbot write blog posts.

The new normal for marketing agencies

From traditional production to AI-driven efficiency

Just three years ago, the workflow in a typical Norwegian marketing agency looked quite different. Content production was manual work from start to finish: research, writing, editing, proofreading and publishing. A single SEO article could take half a day. A campaign plan with ten variations of ad copy might take two days. Now, much of this can be done in a fraction of the time, without the quality necessarily suffering.

That does not mean that agencies have become redundant. On the contrary. Agencies that have adopted AI tools such as ChatGPT report that they spend more time on strategy, client relations and creative thinking. Repetitive tasks, such as writing first drafts, summarising reports or creating variations of ad copy, take less time. A study by McKinsey shows that marketing is one of the sectors with the greatest potential for productivity gains through generative AI, with an estimated 5–15 per cent increase in efficiency in content production alone.

The practical implication for Norwegian agencies is clear. Those that manage to combine AI tools with skilled people can deliver more for the same budget. And it is precisely this combination that distinguishes agencies that use the technology wisely from those that either ignore it or rely on it blindly.

Why the timing of implementation is critical now

There is a window of opportunity to build expertise, and that window is about to close. Not because the technology is disappearing, but because the lead held by those who have already got started is growing with every passing month. Agencies that have spent the last year experimenting with prompt engineering, fine-tuning workflows and training staff in AI tools now have a track record that gives them a competitive edge.

For companies purchasing agency services, this means that the choice of partner has taken on a new dimension. It is no longer just about creative portfolio and industry knowledge, but also about technological maturity. Does your agency ask itself ‘how can we use AI here?’ in every project, or is it something they consider only occasionally?

Timing is also critical because AI tools are evolving rapidly. ChatGPT-4o, launched in 2024, is significantly better than its predecessor in everything from nuanced language understanding to data analysis. Delaying learning these tools means you start with an ever-widening knowledge gap. It’s a bit like delaying the switch to digital advertising in 2010: possible, but costly in the long run.

How ChatGPT is transforming content production

Scaling up copywriting and SEO articles

Content production is perhaps the most obvious use case for ChatGPT in a marketing agency, and with good reason. An agency that previously could produce five SEO articles a week can, with the right use of AI, double or triple that capacity. But here’s an important caveat: AI-generated content is typically around 80 per cent complete. This gives you a solid first draft and saves a huge amount of time, but it still requires human quality control and adaptation.

In practice, this means that a copywriter uses ChatGPT to generate a draft based on a detailed brief, and then edits it, adds their own perspectives, checks the facts and adapts the tone to the brand’s voice. The result is an article that is written more quickly, but which still has the human depth and credibility that readers and search engines value.

For SEO specifically, this is worth its weight in gold. Google has clearly stated that it evaluates content based on quality and usefulness, not on whether it is written by a human or a machine. What matters is that the content actually helps the reader. Agencies such as Mediabooster, which has worked on over 450 web and marketing solutions across the Nordic region, have found that the combination of AI-assisted production and human editorial oversight delivers better results than either approach alone.

Large-scale personalisation of campaigns

One of ChatGPT’s most underrated strengths in marketing is its ability to create personalised variations of messages. Imagine you’re running a campaign targeting three different customer segments: small business owners, HR managers in medium-sized companies, and procurement managers in the public sector. Traditionally, you would have written three separate sets of ad copy, emails and landing pages. With ChatGPT, you can generate these variations in minutes, based on a single core message.

It’s not just about swapping a few words. A good prompt can instruct ChatGPT to tailor the tone, arguments and examples to each segment. The HR manager cares about employee satisfaction and employer branding, whilst the procurement manager is concerned with procurement rules and documentation. This type of segment-specific communication has always been possible, but it has been too time-consuming for many agencies to implement consistently.

The result is campaigns that feel more relevant to the recipient, which directly impacts click-through rates, conversion and ROI. Data from HubSpot shows that personalised emails have a 29 per cent higher open rate than generic mailings. With AI, you can achieve this level of personalisation without breaking the budget.

Idea generation and creative concepts in seconds

Creativity is not something ChatGPT replaces, but it is something the tool can accelerate. Most creative processes start with a brainstorming phase where ideas are thrown out, evaluated and discarded. This phase can take hours in a traditional agency. With ChatGPT, you can get 20 concept suggestions in under a minute, and even if perhaps 15 of them are mediocre, the remaining five might spark an idea that leads to something genuinely original.

A practical example: an agency working on a campaign for a Norwegian food producer could ask ChatGPT to suggest ten creative angles for a summer campaign aimed at young adults. The suggestions might include everything from nostalgic references to Norwegian summer memories to interactive social media concepts. The agency uses these as a springboard, not as ready-made solutions.

This approach changes the dynamics of creative meetings. Instead of starting with a blank sheet of paper, the team starts with a set of directions to respond to. It’s faster, and it reduces the creative block that many experience in the early stages of a project.

Strategic use of AI in customer analysis and insights

Automated data analysis for better decisions

Marketing is increasingly about data, but most agencies are drowning in information without the capacity to analyse it all. ChatGPT, particularly when combined with tools such as Code Interpreter, can process datasets, identify patterns and present findings in an understandable way. What previously required a dedicated analyst and several hours can now be done in minutes.

Imagine uploading a CSV file containing campaign results from the last six months. ChatGPT can identify which channels deliver the best conversion rates, which times work best for mailings, and where there is the greatest potential for improvement. It can even create visualisations that make it easier to communicate the findings to the client.

This type of rapid analysis is particularly valuable in a reactive context. When a campaign isn’t performing as expected, the agency can quickly dig into the data and adjust course. The difference between an agency that spends two days analysing and one that does it in two hours can be decisive for the campaign’s outcome.

Understanding the customer journey through AI patterns

The customer journey is rarely linear, and understanding it requires you to see connections across many data points. ChatGPT can help map typical customer journeys based on data from CRM systems, website analytics and customer surveys. By feeding the tool with anonymised data on customer behaviour, you can gain insights into where potential customers drop out, what triggers purchasing decisions, and which touchpoints have the greatest impact.

One specific use case is analysing chat logs or customer enquiries to identify recurring questions and concerns. This information can be used to improve content strategy, refine messaging and remove friction in the buying process. It is proactive marketing rather than reactive, and it is precisely this shift from guessing to knowing that distinguishes modern, data-driven agencies from those that still operate on gut instinct.

AI-driven insights do not replace strategic thinking, but they provide strategists with a better foundation to work from. It is like the difference between navigating with a map and navigating with GPS: both can take you to your destination, but one provides you with real-time information that makes the journey more efficient.

Challenges and ethical considerations regarding the use of AI

Quality assurance and the need for the human eye

It is tempting to let ChatGPT do everything, but that is a trap. AI models can hallucinate, i.e. generate information that sounds credible but is incorrect. In a marketing context, this can mean false claims about products, incorrect statistics or references to sources that do not exist. For an agency that puts its name and credibility behind the content, this is a real risk.

Quality assurance must therefore be built into the workflow. This means that all AI-generated content is reviewed by a person with specialist expertise before it is published. It also means that agencies need clear guidelines on what ChatGPT can be used for and what requires human input from the outset. Legal texts, medical claims and complex technical descriptions are examples of content where AI should be used with extra caution.

The good news is that this quality assurance does not have to be time-consuming. When the first draft is already 80 per cent complete, it is a matter of applying human expertise to the final 20 per cent: factual accuracy, tone, nuance and context. This is where the value of experienced professionals really comes to the fore.

Data security and handling of confidential customer information

One issue that many agencies underestimate is data security in connection with AI use. When you write prompts for ChatGPT, you are sending information to an external service. If that information contains confidential customer data, trade secrets or personal data, issues relating to GDPR and privacy may arise.

The solution is to establish clear procedures. Many companies choose to use ChatGPT Enterprise or similar solutions that provide better control over data processing. Others create internal guidelines specifying that sensitive information must never be shared with AI tools. Whatever the approach, it is crucial that the agency takes a conscious stance on this, not least to maintain the trust of its clients.

For agencies working with the public sector, this is particularly relevant. Public procurement imposes strict requirements on information security, and an agency that cannot demonstrate responsible data handling risks losing contracts. Having a clear AI policy is not just good practice; it is a competitive advantage.

How to choose the right agency in an AI-driven future

Criteria for technological expertise in partners

When evaluating potential agency partners, technological expertise should be high on the list. Ask specific questions: How do you use AI in your workflow? What tools have you implemented? Have you trained your staff in prompt engineering? An agency that gives vague answers to these questions has probably not got very far on its AI journey.

Look for agencies that can demonstrate concrete results. Have they used ChatGPT to improve content production for existing clients? Can they document efficiency gains? An agency like Mediabooster, with over 15 years’ experience and a dedicated focus on AI and automation, can, for example, demonstrate how they have integrated AI tools into everything from web development to content strategy. It is this kind of concrete experience that distinguishes mature players from those who merely talk about AI without putting it into practice.

It is also worth considering the agency’s approach to change management. Implementing AI is not just about technology, but about people. Agencies that invest in training their staff, that have a culture of experimentation, and that understand that AI is a tool requiring continuous fine-tuning, are better equipped to deliver results over time.

The value of human creativity combined with AI

It is easy to be dazzled by the efficiency gains AI offers, but it is important to remember what actually creates value in marketing. Technology can produce content, analyse data and generate ideas, but it cannot understand cultural nuances, build genuine relationships or make strategic decisions based on experience and intuition. This is where humans are irreplaceable.

The best agencies use AI as an extension of the team, not as a replacement. Creative directors use ChatGPT to explore more directions more quickly. Strategists use it to test hypotheses. Copywriters use it to get past that first blank page. But the final judgement – the one that decides whether something is good enough, relevant enough and true enough – is made by people.

This balance between technology and humanity is what defines the marketing agency of the future. Not purely AI-driven, not purely manual, but a hybrid that harnesses the best of both worlds. Agencies that understand this, and that manage to communicate it to their clients, will have a clear advantage in the years to come.

The way forward: How to set your business up for success

Adopting ChatGPT and AI in marketing isn’t about buying a subscription and hoping for the best. It requires a deliberate approach: start by identifying the biggest bottlenecks in your current workflows. Is content production taking too long? Is there a lack of data-driven insights? Is there personalisation you’re currently unable to achieve? Define specific KPIs for what you want to achieve, and measure the results along the way.

Train your team. Prompt engineering is a skill that develops over time, and the difference between a mediocre and a good prompt can be enormous. Set aside time for experimentation, share experiences internally, and build a culture where AI is seen as a tool everyone can benefit from, not just those with a technical background.

If you’re looking for a partner who understands both the technology and the marketing discipline, Mediabooster is an agency that works as part of your team, not just as an external supplier. With experience in AI, automation, SEO and content production, they can help you turn strategy into measurable results. Book a no-obligation meeting to discuss how AI can strengthen your marketing.