Every Black Friday, retailers pour millions into the same playbook. Increase ad spend. Optimize the homepage. Send more emails. Fight for traffic. And every Black Friday, they lose to the same fundamental problem: their entire business is trapped on one website.

The marketing world just witnessed a pivotal moment. Zeta Global's launch of their GEO platform this week, combined with the fact that 40% of generative engine optimization startups have emerged in just the past year, signals something profound: we're not just witnessing the evolution of search, we're watching the birth of an entirely new customer discovery ecosystem.

The empire is crumbling and most retailers don't even realize it yet. 2025 isn't just another year in retail. It's the year the old guard fell. For two decades, Amazon reigned supreme as the undisputed king of eCommerce, setting the rules that everyone else scrambled to follow. But something seismic has shifted in the digital shopping landscape, and the numbers tell a story that should terrify traditional omnichannel retailers.

The grocery industry stands at a remarkable inflection point. While other sectors have gradually embraced digital transformation, grocery retail, traditionally one of the most relationship-driven and tactile commerce experiences, is rapidly evolving into a sophisticated, AI-powered ecosystem. The latest data on Grocery Trends reveals not just an adoption trend, but a fundamental reimagining of how grocery businesses operate, compete, and serve customers.

The retail industry is undergoing a radical transformation. According to recent industry insights, over half, 52%, of all global retail growth in the upcoming years is expected to be captured by just 10 retailers worldwide. This remarkable concentration of market power is reshaping competitive dynamics and demands urgent reflection from every retailer and brand operating outside this elite group.

TL;DR; Omnichannel retailers that make each physical store and its product catalog discoverable to AI and search engines can capture a wave of unserved, hyperlocal product demand. That’s not hypothetical, it’s measurable: close to half of searches have local intent and local queries routinely turn into store visits. The play: build store-level product footprints (pages + structured data + product catalog) so AI/search can surface your products where and when people need them.

The search bar is disappearing. And with it, the rules that governed visibility for the past two decades. This isn't a small shift. It's a complete rewiring of how people discover and choose where to buy.

AI engines deliver a shortlist of trusted answers: not a scroll of blue links. Big-name competitors like Sports Direct still pour budgets into classical SEO. But for SMEs like FootAsylum: and every ambitious multichannel retailer: embracing Generative Engine Optimization (GEO) gives you a real shot at leapfrogging the giants.

When someone asks "Where can I find sustainable sneakers in Brooklyn?" or "What's the best camera store near me?", these AI engines don't browse your website the way humans do. They need structured, crawlable content that connects your products to specific locations. Most retailers are invisible in this new landscape.

How the world's largest retailer proved that product-location visibility isn't just about SEO, it's about unlocking revenue that's...

Local Product Discovery is the strategic approach to creating product-location visibility that captures high-intent customers searching for specific products near specific locations, optimized for both traditional search engines and AI-powered discovery platforms. Unlike traditional local SEO, which focuses on optimizing store pages to be found in generic local searches, Local Product Discovery creates thousands of specific product-location combinations that match the exact