PickMeLabs is an applied research lab for ecommerce teams. We run controlled experiments on AI recommendation systems to understand why your brand is being surfaced — and why it isn't.
PickMeLabs grew out of years inside ecommerce — working with product teams, developers, marketers, and leadership at global brands — watching AI quietly become a critical channel for product discovery.
The inflection point was simple but hard to ignore: consumers had started asking AI what to buy — and brands had almost no visibility into those answers. Most teams were still optimising for search engines while a new kind of recommendation engine was already deciding which brands to surface and which to ignore.
That gap — between where buyer behaviour was heading and where brand strategy was focused — is what PickMeLabs was built to close.
"AI is becoming the first place buyers go when they're ready to purchase. We help brands show up there — with research-backed clarity on why they're being included, why they're being missed, and what to do next."
Every experiment we run is a focused study — tailored to your brand, your category, and the specific AI systems that matter to your customers.
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We've worked closely with CTOs, developers, marketers, and ecommerce leaders at global brands — we understand the industry from the inside out.
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We don't follow AI trends — we study them. Every experiment we run deepens our understanding of how AI recommendation systems actually behave in specific categories.
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No generic checklists. No cookie-cutter advice. Each experiment is built around your brand — designed to show you exactly where you stand, why, and the handful of moves most likely to change your inclusion.
Start with a conversation. We'll ask a few questions about your category and current visibility, then tell you whether an experiment is likely to be useful and what it would look like for your brand.