About us
Peter and Erik, and why we built Recommendable
Recommendable is built by Peter Minkjan and Erik Mus. Between us we have spent close to thirty years on how brands get found: first in Google, then on YouTube and social, and now in ChatGPT, Claude, Gemini and Perplexity. The question changed along the way. It used to be whether you rank. Now it is whether you get recommended at the moment someone chooses.
Why we built it
Clients kept asking us the same thing: why does ChatGPT name my competitor and skip me? That question is easy to measure, and dozens of tools do. The question behind it is the only one that matters: what can you do about it? Answering that took us days of manual work per brand, page by page, answer by answer. So Peter read nearly every paper on how language models arrive at a recommendation, we tested the tools that existed, and we found that most of them measure the wrong thing. Recommendable is what we built instead: the measurement done properly, and a human who reads it before it reaches you. That is what everything we do is about: brands being recommended at the moment buyers decide, and knowing why.
Small team, big impact
Recommendable is part of Think again, and we are fully AI-first. That goes further than "we do something with AI": we have set up our company so that AI knows the full context and works along in everything. We believe the most interesting organisations of the coming years will work this way. You do not need teams of dozens or hundreds of people for that. A small team of very good people who use everything AI makes possible works better and faster.
Quality above all
We built our platform from our own means, without outside investors. That gives us the freedom to put one goal first: being the best in our field. Growth comes after that. Many players in this market have raised large investments, and that puts pressure on sales and fast growth. We would rather spend our time on the quality of our advice and on the clients we already have.
How we look at AI search
Getting recommended is brand strategy first. What that means, how an AI answer comes about and how we work, you can read on the page about our vision.
Read our vision
