All blog articles

Ranking on Google is no longer the only way to be discovered. As tools like ChatGPT, Gemini, and Perplexity become part of the research journey, marketers need to understand how AI systems choose their sources. This guide explores the strategies helping brands earn visibility in AI-generated answers.

This year, the Prepr team gathered in Antwerp for a day away from our usual routines. Between exploring the city, visiting Hasmik's exhibition, and enjoying an evening of friendly competition, the outing gave us the chance to connect, relax, and create new memories together.

What happens when content, context and AI collide in the B2B buyer journey? During ShoppingTomorrow Session 4 at Prepr, industry professionals explored a challenge many organisations recognise: not creating more content, but organising knowledge in a way that makes it relevant, accessible and useful when buyers need it most.

Everyone is talking about AI, but not everyone is talking about the same thing. After three days in Stockholm attending the MarTech Summit and meeting local agencies, Prepr's leadership team came home with a clearer view of the Nordic market and the questions shaping the future of digital experiences.

Composable martech stacks were supposed to deliver flexibility and speed. In practice, most teams end up with complexity and rising costs. At the same time, the CMS is moving beyond content management toward the core of the digital experience. Why does the ideal martech stack suddenly look different?

Most companies think about their digital infrastructure in terms of capability, not environmental impact. But as sustainability becomes part of procurement and reporting across Europe, companies need to understand the environmental impact of their digital infrastructure, and agencies have a responsibility to help them answer those questions.

While preparing for our expansion into the Nordics, we came across lagom: the idea of “just enough.” It closely mirrors how we approach building Prepr. This article looks at what that means in practice, from product focus to personalisation, and why more isn’t always better.

Developers spend a lot of time working on content models, and even small improvements can make a big difference. With this latest release, we’ve introduced updates that make content modeling in Prepr more flexible, more efficient, and better aligned with real development workflows, while also improving the editing experience for content teams.

While rebuilding Prepr’s marketing website, we used AI to turn finished designs into working components in as little as eight minutes. Here’s how we structured our design system, content structure, and development workflow to make that possible, and where manual review still matters.