AI Adoption overview
Inspiration, training and Agentic Engineering.
Discover
Inspiration session
See what AI truly changes about how your team works.
Learn
Working Smarter with AI
Learn to use AI effectively: from context and instructions to agents and automations.
Advanced
AI Building
Build working software, websites and apps with AI tools. No programming experience needed.
AI Search overview
Our strategic approach to visibility in AI search engines.
Recommendable
The measurement platform underneath our AI Search strategy.
AI Search insights
Our articles and analyses on visibility in ChatGPT, Perplexity and Gemini.
Insights
Articles
Our latest insights on AI, search and digital strategy.
Deep dives
Long-form deep dives on search strategy, models, and platforms.
Company brain
How we built an AI-first company around one company brain.
Discover all our insights on AI, knowledge work and digital transformation.
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Over the past months we built our own AI-first workspace. Now it thinks along with us, remembers things, and writes its own knowledge.
During yesterday's keynote, one thing became crystal clear: the traditional search engine we've known for three decades is being taken over by AI, piece by piece. Google Search is shifting from an index of blue links to a proactive, agentic ecosystem and today, several new elements were added to it.
A website was always built for people who look and click. Recently, a new and very important user has joined them: the AI agent that performs tasks on behalf of the customer.
What research on ChatGPT, Claude, and Perplexity tells us about how people search differently, and why most GEO approaches measure at the wrong moment in the conversation.
In a single week, Anthropic, OpenAI, Stripe and EY each sent a comparable signal in completely different ways. The value of AI doesn't sit in the model — that's more than good enough in most cases. It doesn't sit in the license either. Not in the prompt you write. It sits in someone who sits next to you and builds something on top of what you do every day, to make your work easier, more efficient and better.
And which three categories we strongly believe in for ourselves to be working on, and worth thinking about for you too.
Which means we don't use Slack. No HubSpot. No Notion, no Linear, no Asana, no Buffer, and no WordPress for our CMS either. We built it all ourselves, and everything talks to each other.
What 81,000 Claude users tell us about the economics of AI, and what that says about how you introduce AI in your organisation.
How an LLM turns your bookmarks and scattered notes into a real knowledge base.
Admit it, you've probably asked ChatGPT which solution is best in your market. Your competitor came up. You didn't. The reflex is predictable: create more content, start tracking prompts, get a GEO tool.
Major international study reveals what AI delivers for users in the Netherlands, why two-thirds still don't use it, and the one factor that makes the difference.
In three months, Anthropic launched nearly every feature that made OpenClaw popular. Coincidence? We don't think so and we'll show you what you can do with it.
Most organizations use AI as an individual productivity tool. One person working in one chat window, getting things done faster. And yes, that works — so by all means, keep doing it. But it doesn't scale, even where it could. The real productivity gains are elsewhere: at the boundaries between people, roles, and departments. Exactly where context is still lost every day.
An old story about grains of rice on a chessboard explains why the AI revolution keeps surprising you.
At the end of January 2026, an open-source project by Austrian developer Peter Steinberger went viral. OpenClaw (formerly Clawdbot, then Moltbot after a trademark complaint from Anthropic) allowed millions of people to experience for the first time what a personal AI agent can really do.
New CBS research shows: those who use AI understand best what is coming. And that's exactly why you need to start now.
I was recently doing an analysis that would normally have taken me half a day. To be honest, I had already postponed it a few times because I didn't feel like it. Collecting and exporting data from different sources, merging, research, recognizing patterns, making connections, writing a clear story. Now it took me less than an hour. And the result was better than what I made in half a day.
Since ChatGPT and other LLMs (Perplexity, Claude, Gemini) have been introduced, a fierce debate has raged between two camps. Both agree that these platforms are emerging as new search engines, but what really matters is how do you get your brand recommended?