Marketing has always been a combination of creativity, data, and timing. But with the rise of artificial intelligence, there is now an accelerator that completely reshapes this playing field. Where companies used to spend weeks on customer analyses, AI tools can now create segmentations, predict behaviors, and personalize campaigns in just a few minutes.
However, using AI in marketing is not a matter of 'turning it on and done'. It requires insight, strategy, and vigilance. Those who use the technology wisely can make their brand more agile, relevant, and efficient. But those who blindly trust the technology risk losing the connection with the customer or their own story.
The possibilities of AI in marketing
One of the strongest assets of AI in marketing is its ability to recognize patterns in vast amounts of data. Think of customer behavior, purchase history, preferences, or click paths. Where human analysis stops, AI goes further: the technology sees connections and predicts behavior with impressive precision.
This offers companies the chance to not only understand their target audience better but also to serve them proactively. Customers receive offers that increasingly align with their interests, campaigns are automatically optimized based on real-time data, and marketers can respond more quickly to changing market trends.
AI has also made its entry into content creation. Texts, images, videos, ad copy - they are increasingly (partially) generated by algorithms. This shortens production times and makes experimentation cheaper. For example: where A/B testing used to be done manually with fixed variants, AI systems now automatically run hundreds of variations to find the best-performing format.
Additionally, AI makes hyperpersonalization scalable. Every customer can receive their own newsletter, ad, or website experience, without the need for manual work. Just a few years ago, this was still unthinkable.
AI in action
The application of AI is broad. E-commerce companies use AI to analyze shopping behavior and make personalized recommendations. Banks use AI to recognize customer life stages so they can offer a suitable product at the right time.
AI also plays an increasingly important role in customer service. Virtual assistants and chatbots can answer questions 24/7, handle complaints, or even close sales. Although not all customers are fans of bots, acceptance is increasing, especially for simple interactions.
In the advertising world, AI has completely changed the game. Programmatic advertising - automatically bidding on ad space - has been standard for years. But AI goes further. By continuously learning from results, the algorithm adjusts ads, target audiences, and bidding strategies without human intervention.
Even in strategic planning, AI has now found its place. Tools analyze competition, market opportunities, and customer needs to advise on positioning, pricing strategy, or content formats.
AI is not a final solution
Like any powerful technology, AI also has pitfalls. This can lie with people, for example, through excessive trust. AI tools are not magical black boxes. Without qualitative data, clear goals, and human validation, they rarely lead to success. Some companies introduce AI without thinking beforehand about the KPIs or expectations. The result: a lot of activity, little result.
A second risk is data quality. AI relies on historical data. But if that data is incomplete, biased, or outdated, it leads to incorrect conclusions. This can result in an algorithm disadvantaging certain customer groups or signaling incorrect patterns.
Privacy is a third point of concern. AI thrives on access to a lot of customer data, but that must remain within the boundaries of legislation and ethics. Transparency is essential here: customers want to know what happens to their data and why they receive certain recommendations.
Finally: creativity. AI is strong in optimizing but weaker in creating something truly new. The greatest impact of marketing often lies in the unexpected - where human imagination and intuition make the difference. AI can support but must not take over the reins. The 'hyper-realistic' photos that the technology currently generates mostly scare people off.
A new playing field
In addition to the well-known use of AI in campaigns and data analysis, a new trend is emerging: Generative Engine Optimisation (GEO). While traditional SEO focuses on visibility in Google's search results, GEO targets generative AI systems. Think of tools like ChatGPT, Perplexity, or the AI mode of search engines. They generate direct answers, summaries, or recommendations, but without referring to external websites.
This means that companies will receive clicks less frequently via search engines unless their brand or content is literally mentioned in the generated answers. And that is what GEO is about: ensuring that your brand or content model is visible and citable for AI systems.
GEO is not a replacement
Generative Engine Optimisation is not a trick and not a replacement for SEO, but a deepening of it. Content must not only be technically correct and search engine friendly but also logical, reliable, and semantically clear. AI systems work better with content that directly answers questions, provides context, and clarifies where expertise lies.
This requires different choices in content strategy. Less loose marketing stories, more substantive explanation. Less superficial blogs, more well-structured explanations, analyses, and scenarios. Brands that consistently build knowledge within their domain increase the chances that AI systems will use them as a reference.
This calls for new optimization techniques. Content must not only be findable for crawlers but also understandable for AI. That means: clear structure, direct answering of questions, semantic construction, reliable sourcing, and strategically chosen formats such as FAQ blocks or how-tos.
Using AI wisely
AI can thus yield a lot in the marketing landscape but can also cause problems. Every marketer will tell you that authenticity is one of the most important points for your brand; but how real can AI actually deliver?
But we cannot ignore it: the opportunities that AI offers are enormous. The speed at which daily tasks can be automated allows for intense work on a creative level. Our advice? Stay true to yourself. Authenticity often remains the best.
