It's true. This isn't some dystopian vision of the future, it's simply the hard reality of our industry. When I founded LK Media a few years ago, AI in marketing (our favourite keyword, right?) was more of a curious toy for nerds. Today? If you're not integrating, you're stagnating.
I remember the exact moment it clicked for me at the agency. I was sitting over a client strategy, the hours ticking by, my coffee gone cold — you know the feeling. That day I tried asking the first version of ChatGPT for some market research. The answer wasn't perfect. It was, honestly, pretty average. But it saved me three hours of googling. That's when we at LK Media made a radical decision: we would become a fully AI-powered agency. Not to lay people off. Quite the opposite. To turn our people into superheroes who don't spend their time clicking away like trained monkeys, but actually thinking. Because AI marketing isn't about robots stealing your campaign. It's a lever. An extremely long lever that lets you lift what would once have broken your back.
The summary for those short on time
- The global AI marketing market is worth $58 billion this year (according to Statista).
- More than 90% of Czech companies are already experimenting with AI in some way.
- Marketers who deployed AI correctly save an average of 13 hours a week.
- Content, SEO, PPC, email and social — these are the five areas where the rules of the game have changed beyond recognition.
- But the gold rush isn't for everyone. Only 5.5% of companies manage to squeeze a real, measurable ROI (return on investment) out of AI.
Where AI is really changing marketing (and where it's just a buzzword)
Content marketing
The vast majority (94%, to be exact) of marketers plan to generate content with AI this year. If you're thinking the internet is about to be flooded with generic junk, you're partly right. Most people still use plain ChatGPT like a text vending machine. Drop in a coin, out comes a standard-issue cup.
We at LK Media have been writing client copy with AI for a long time, and it saves us roughly 40% of the time. The secret? Claude. Anthropic's model is currently the absolute top for Czech-language copy. It grasps nuance, handles inflection without sounding like a 2010-era translator and, above all, has a feel for context. ChatGPT holds its position as a brilliant all-rounder for brainstorming, but the moment you need a finished article, Claude leads.
Now and then you'll come across specialised tools like Jasper. It starts at $49 a month and offers ready-made templates. Look, for someone who doesn't want to fine-tune their own prompts (instructions for the AI), it makes sense. Personally, though, I feel Jasper loses the flexibility you get from a raw language model.
SEO
Search engine optimisation took a blow to the neck. Google rolled out AI Overviews (AI-generated summaries placed right above the search results) on 55% of all queries. What does that mean for you? The classic blue links are sliding down the page.
GEO (Generative Engine Optimization — optimising for generative search engines) is no longer a choice, it's a necessity. You have to write in a way that makes AI models want to cite you. Among the tools, Surfer SEO has become the standard — it tells you exactly which words are missing for your text to rank. Semrush AI, meanwhile, speeds up keyword analysis incredibly. You no longer spend hours in spreadsheets; you simply ask: “Which long-tail queries do single mothers search for before Christmas?”
PPC
Here, things are happening that occasionally leave my jaw on the floor. Performance campaigns stopped being about manually bidding pennies per click a long time ago.
Google AI Max (essentially the former Performance Max on steroids) lifts conversions by 14 to 27% on average. Meta isn't far behind with its Advantage+ system. Brands that deployed it see ROAS (Return on Ad Spend) rise by 22%, while CPA (Cost Per Action) drops by 32%.
Our case study with client nanoSPACE illustrates this beautifully. We took their campaigns and deployed predictive AI models for bidding and creative optimisation. The result? Spend went down by 25%. ROAS shot up by 30%. And total campaign revenue grew by 59%. Numbers that would have taken a month of analytical work three years ago, the system now handles in real time.
Personalisation. One word, an enormous impact. Salesforce reports that AI-personalised emails generate 41% higher revenue. Predictive segmentation no longer worries about what a customer bought yesterday — with 80% accuracy, it predicts what they'll want to buy next Tuesday.
Social media
Running social channels without AI today is pure masochism. According to surveys, 96% of social media managers use AI daily.
It's not just about writing captions. Opus Clip carves ten viral Reels with subtitles out of an hour-long podcast in five minutes. It used to take an editor half a day. Synthesia generates a talking avatar that presents your product in fifty languages. Time saved? Around 80%. Suddenly you have room to focus on community and strategy, not trimming videos in Premiere Pro.
Customer service
Macy's deployed an advanced chatbot and couldn't believe their eyes. Customers who went through it spent, on average, 4.75× more than those who shopped on their own.
AI today comfortably handles 75% of routine questions like “where is my parcel” or “how do I return an item”. Support staff no longer act as living photocopiers of FAQ answers; they only handle the complex, emotionally charged situations where a human touch is (for now) irreplaceable.
Analytics
Numbers from the past are fine. Numbers from the future are better. Google Analytics 4 (GA4) has built-in predictive metrics that a lot of people still ignore.
GA4 metric | What on earth does it mean? | How to use it? |
Purchase Probability | The chance a user buys in the next 7 days. | Target a discount only at those who are hesitating. |
Churn Probability | The likelihood a customer won't return. | Launch a retention email campaign. |
Predicted Revenue | A user's estimated spend over 28 days. | Allocate VIP care to your highest-value customers. |
Case studies with real numbers
Everyone loves theory, but it's only through real stories that you grasp how enormous the shift really is. Don't expect dry bullet points — these are business detective stories with a happy ending.
Take Coca-Cola. They didn't mess around and dropped AI straight into their global “Create Real Magic” campaign. They let people use DALL-E and ChatGPT to create their own visuals with the brand's iconic elements. The result was brutal. Revenue tied to the campaign grew by 36%, engagement jumped by 20%, and the internal team's time spent preparing assets fell by 40%. People simply enjoyed playing, and the brand made a fortune off it.
Or Netflix. If you knew how well their algorithm knows you, you might even be a little scared. Today, 80% of everything watched on the platform comes from AI recommendations. Not from what people search for themselves. The algorithm analyses not just what you watch, but when you pause it and which thumbnail colour you're more likely to click. Thanks to this extreme personalisation, Netflix saves roughly $1 billion a year by keeping people from cancelling out of boredom.
Starbucks went at it through coffee and emotion. Their loyalty programme is powered by the Deep Brew engine. It factors in the weather, the time, your history and even whether there's currently a queue at your favourite branch. It generates an offer tailored precisely to you. Today, Starbucks makes an incredible 60% of its revenue from loyalty members, and more than half of that volume is directly influenced by AI recommendations. They sell you coffee before you even know you fancy it.
Cosmetics giant L'Oréal, meanwhile, understood that buying make-up online is always a bit of Russian roulette. They built an AI app for skin diagnostics and virtual try-ons. The numbers? 20 million diagnostics, one billion virtual try-ons of lipsticks and eyeshadows. And most importantly — the conversion rate (the share of people who buy) among app users was 3× higher than among ordinary website visitors.
And finally, we don't have to travel all the way to America. I've already mentioned our client nanoSPACE. A local company that makes bedding for people with allergies. Sounds ordinary, doesn't it? When we at LK Media took over their campaigns and applied our AI methods, we didn't perform any magic. We just let the machines do what they're good at — analysing terabytes of data in real time. We pulled spend down by 25% by cutting the dead branches. Their return (ROAS) rose by 30% and total revenue shot up by 59%. This is the moment when a client calls you on a Friday evening asking whether our reporting system has broken, because the numbers look too good to be true.
What you absolutely need to watch out for
Sure, so far this sounds like a fairy tale about how we'll all get rich and work two hours a day. But AI marketing has some very dark corners too. If you wander into them blind, they'll eat you alive.
Model hallucinations are the absolute basics you have to watch. AI lies. And it does so with such elegance and confidence that you believe it. Different models hallucinate somewhere between 3 and 27% of the time. If you let ChatGPT write an expert article about your product's medical benefits and don't check it, you risk not just embarrassment but a lawsuit. It will invent studies, authors and universities.
GDPR and data protection are another minefield. Did you know that 64% of companies have already had some security incident linked to employees uploading sensitive data into a public AI model? Italy's data protection authority didn't hold back and slapped OpenAI with a €15 million fine. If your people are dumping client databases into the free version of ChatGPT, you're setting yourself up for a huge mess.
And into all this comes the AI Act. European legislation that takes full effect in August 2026. It brings rules that, if you break them, carry fines of up to 7% of a company's global turnover. You have to transparently disclose when it's a bot communicating and when it's a human. You have to guarantee your models carry no discriminatory bias. The fun is over; the bureaucracy has arrived.
The loss of authenticity hurts brand marketers most of all. Consumers are becoming allergic to sterile AI content. There's even an “anti-AI marketing trend” emerging — brands take pride in the fact that only humans work there and their photos have real imperfections. People simply don't want to read copy that begins with “In today's fast-paced world…”. (Yes, that's exactly why phrases like that bring me out in a rash.)
The skills gap is widening. According to the data, only 32% of marketers rate their AI knowledge as excellent. The rest are fumbling around. And that leads us to the saddest number of all.
McKinsey recently published a report that made me pour myself a glass of wine. Only 5.5% of companies get a genuine, demonstrable ROI from AI. Most are simply doing it wrong. They pay for expensive tools but use them for trivialities.
2026 trends — what's coming next year
The future is no longer around the corner; it's already sitting in our living room flipping through the channels. What awaits us in marketing over the next twelve months?
AI agents will take over the baton. We'll stop talking to chatbots. The era of autonomous campaigns and multi-agent orchestration is arriving. You set a goal: “Increase winter-boot sales by 15%.” One AI agent runs the market analysis. A second designs the creative. A third approves it against the brand guidelines. A fourth buys the media, and a fifth evaluates the whole thing. You just sit there and, like a conductor, point to where to pick up the tempo. Sounds crazy? It's already happening.
AI-generated video will go through an earthquake. OpenAI's Sora may be winding down (or transforming), but Seedance 2.0 and Runway Gen-4.5 are stepping in. Photorealistic ad spots will no longer cost millions, and you won't need a crew of fifty for them. All it takes is a good prompt and a few hundred dollars of compute.
Real-time personalisation will become the absolute standard. Today, 84% of marketers believe it's the key to success and, worse still, 71% of consumers outright expect it. A web page will rearrange itself before your eyes based on where the visitor came from and what mood they're in.
ChatGPT ads. This is a pivotal moment that threatens the entire agency model. People are ceasing to search for products on Google and asking AI assistants directly. “What's the best coffee machine under €400?” And ad space will start being sold into these answers on a massive scale. The way we optimise PPC will have to change from the ground up.
GEO (optimising for AI answers) I've already touched on, but I'll say it again. Anyone who doesn't optimise their content for Perplexity and ChatGPT might as well not exist for the younger generation. The classic search engine is too slow for them.
The evolution of the marketer's role is inevitable. We'll stop being executors. We'll no longer be the ones writing emails and clicking around in ad platforms. We'll become orchestrators of AI agents. We'll be strategists, psychologists and curators.
5 practical steps to get started with AI in your company
The worst thing you can do is panic, buy ten licences for random tools and tell your team: “Here you go, from tomorrow be a hundred percent more efficient.” That really doesn't work. I've seen it in practice so many times, and it always ended in frustration and a cancelled subscription. So how do you go about it smartly?
One Wednesday afternoon I sat down with our team and we ran a brutally honest audit. We took a huge whiteboard and everyone had to write down where they burn the most time on tasks that kill them inside. We discovered we were spending dozens of hours a month transcribing client calls and drafting initial outlines for articles. That was our target. Don't ask AI to devise your entire company strategy right away. Find the most annoying routine and automate that.
Then came the time for a pilot project. We picked one specific thing — newsletters for a single e-commerce client. It used to take us half a day to come up with subject lines, write the email body and fine-tune the A/B tests. We started using AI for it. We kept the risk to a minimum, because it was one small segment of our work. Only once we were sure it worked and the quality hadn't dropped did we start scaling the approach to other clients.
Choosing tools today is a jungle you'll get lost in within five minutes. My advice? Trim it down to the absolute basics. For working with text and ideas, pay for Claude. For research and finding information online, start using Perplexity. These two tools will comfortably see you through the first six months. Forget complex platforms until you can properly operate the basic language models.
The biggest fail for most companies is skipping team training. People are afraid AI will replace them, so they secretly boycott it. Or they dump sensitive data into it because they don't understand how it works. At LK Media we introduced a regular Friday share. Whoever discovered a good prompt showed it to the others. If you want to move your team along quickly, I recommend our AI video course, which you'll find at https://vydelavanionline.cz/kurz-ai. Or try our AI photography mini-course. They're extremely practical starting points where people immediately get their hands on what it can do and shake off that initial shyness.
Without measuring ROI (return), the whole thing is pointless. You have to know whether this fun is actually making you money. When we deployed AI for producing client reports, we measured that it saves us 8 hours a month per account manager. Multiply that by their hourly rate and you know exactly how much that licence saved you. If a tool costs a hundred dollars but doesn't save you even two hours of work or bring in any new revenue, cancel it without mercy.
Conclusion
So, back to the beginning. 88% or 12%? Where do you want to be?
AI is no magic. It's just an extremely powerful tool that needs someone who knows how to handle it. We at LK Media help companies implement AI every day. We have plenty of successes behind us, but there's one I'm particularly fond of. A client from the B2B sector came to us; they used to put together complex sales proposals. It took them five weeks to price, write and send a proposal. Customers often went cold in the meantime. We built them a bespoke AI workflow. Today, that same proposal — with better personalisation — takes them exactly one hour.
If you feel the train isn't just leaving without you but has stopped sounding its horn altogether, get in touch. Book a consultation with me and I guarantee that within the very first hour we'll find a process in your company that pays for itself within a month.
FAQ
What is AI marketing?
It's the use of artificial intelligence to automate decision-making, generate content and analyse data. In short, you do marketing faster, more precisely and based on data, not gut feeling.
Which AI tools are best for marketing?
It depends on the field. For copy, definitely Claude and ChatGPT. For graphics, Midjourney. For SEO, Surfer. And for market research, Perplexity without a doubt.
How much does AI marketing cost?
A basic setup will run you a few tens of dollars a month in licences (e.g. $20 for ChatGPT Plus). Enterprise solutions and bespoke training then run into the thousands of euros. But the result isn't measured in costs — it's measured in hours saved and conversions gained.
Will AI replace marketers?
The average button-clickers and copy-pasters? Absolutely. Creative strategists who can use AI as a lever? Never. AI won't replace you — a person who knows how to use AI will.
How do I get started with AI in a small business?
Don't start a revolution. Find one most annoying task (say, writing social captions), pay for a single tool and learn to master it. Only then add more.
