AI in marketing

Not a presentation on how AI will change the world. Specific things you can set up tomorrow – in marketing and in the processes around it. And a heads-up about the ones that will eat your time.

  • Specific places where AI saves time – and where it doesn't
  • Tools I've built – free, no sign-up
  • Not just marketing – warehouse, retail store, product data

30 minutes online, free. You're welcome to use the tools even without it.

A woman standing at a table, writing notes in a notebook – David Zelenka

No point automating without a strategy

Automation speeds up whatever you're already doing – for better or worse. Get it wrong, and you'll just do it faster, with a license fee on top.

That's why AI is never the first topic with me. First it has to be clear who you sell to and why – only then does automating anything make sense.

How that framework is built
A woman working at a monitor and a laptop with paper documents – David Zelenka

Where I use AI every day

I'm not talking about AI from conference stages. I use it in my everyday work, and this is what for:

  • research and analysis – going through competitors, analytics output, product feeds,
  • copy – not content off a conveyor belt, but faster first drafts,
  • translation and localization – with terminology checks, not raw machine output,
  • data routine – downloading, cleaning, reports that used to be done by hand,
  • operations outside marketing – product data checks, materials for the retail store, internal tools.

What I don't do: let AI write content that goes out unread. You can tell the difference.

A monitor with data and charts on a desk – David Zelenka

Tools I've built

The best proof that I know what I'm doing isn't testimonials – it's things that work. At tools.davidzelenka.cz, I have a set of tools for marketers – a link shortener with QR codes, a UTM parameter generator, an image editor, and an encrypted pastebin.

Free, no sign-up, and they run entirely in your browser – no data gets uploaded anywhere. Use them even if we never talk.

Open the tools

4 places where AI pays off

Let's find yours

Checks nobody has time for

Prices, stock, product descriptions, feeds. Thousands of rows a day that a person can't properly go through – and a machine can.

Content in multiple languages

Localizing an online store into 2 languages takes months. With AI and human review, it takes weeks.

Research before a decision

Going through 20 competitor websites and pulling out what they claim is work nobody has time to do properly.

Routine in operations

Materials for the store, order prep, reports that used to be retyped by hand. This is where time gets saved fastest.

What you need to fix first

These aren't reasons to stay away from AI. They're 4 things that would otherwise slow it down or make it more expensive – and I'll spot them at the first meeting.

  • Messy data

    AI turns chaos into faster chaos. Get things in order first, then automate.

  • A broken process

    Automating a broken process means setting it in concrete. Straighten it out on paper first.

  • No agreed line on what stays with people

    Customers can tell when a tool is writing to them instead of a person, and they don't come back. Decide up front which roles AI won't touch at all.

  • The brief is “we want AI”

    That's not a brief, that's conference pressure. Pick 1 task that takes up most of your time and start there.

Frequently asked questions

  • Will AI in marketing replace our people?

    That's not the goal. The goal is to speed up and simplify processes and work that takes too long. Decisions and customer relationships stay with people.
  • What if we don't have a technical person for AI?

    That's no problem at all – I'll take care of everything. Most of what I set up runs in tools you already have, or as a small tool I build. Maintenance is agreed up front, so nothing is left hanging.
  • What happens to our know-how when we use AI?

    Nothing – as long as it's handled properly. I'll tell you what belongs in which tool and what doesn't, and for sensitive data I choose tools that don't use it for training.
  • How much do we need to invest in AI?

    Time first, not money. The first step is to describe the one task that takes up the most hours. Only once you know how many hours it takes up does it make sense to calculate the return.

Let's find out what makes sense for you

In 30 minutes, we'll go through what you do by hand and which of it doesn't need to be. And what to leave alone.

David Zelenka