AI shopping agents are already making product recommendations to millions of shoppers. They synthesize reviews, interpret intent, and surface the products they can most confidently defend before a shopper ever visits a product page. Up to 81 percent of users consult these agents before buying. Orders driven through them generate 35 percent higher Average Order Value than traditional search. And the products they recommend are not the most popular, the most advertised, or the best reviewed. They are the least uncertain.
For brands and retailers, this is not a future problem. Most do not know it is happening to them right now.
Join a live conversation with Eric Sheinkop, CEO of The Desire Company, built for participation with time reserved throughout for questions. This is not a presentation. It is a practical conversation for brands and retailers who want to understand exactly how AI evaluates products, why most content was built for a shopper who no longer makes the first decision, and what it takes to be the product an AI agent can confidently recommend.
Whether you manage a large CPG catalog or a focused emerging brand, whether you sell 1P or on marketplaces, this conversation is designed to deliver perspectives you can act on today.
WHAT WE WILL COVER
- Why commerce now wins and loses before the product page is ever visited
- What an AI shopping agent is actually doing, step by step, when it receives a shopper query and where most supplier products fall out of consideration
- Why every AI recommendation is a risk decision, and what it means to compete for confidence rather than attention
- What outcome linked content looks like on a product detail page and how it differs from what most suppliers are publishing today
- Why expert reasoning is a critical layer in getting recommended, and what makes it more useful to an AI system than well written product copy
- How content fragmentation across the product page, retail media, and reviews shows up in an AI evaluation and what it costs suppliers who have not addressed it
- How to think about retail media spend versus content investment now that AI agents have their own sponsored placement formats
- What it means that your products can now be evaluated inside general AI assistants with no knowledge of your retail relationship, no sales rank data, and no preferential treatment for established brands
- Where to start if you can only fix one thing this quarter and how quickly you can expect to see results
ABOUT ERIC SHEINKOP
Eric Sheinkop sits at the intersection of commerce, culture, and technology. Every company he has built has started with the same premise: trust is what moves people to act.
Before The Desire Company, he built Music Dealers, a platform that connected independent artists with global brands at a moment when nobody had figured out how to do that at scale. The company partnered with Coca Cola on campaigns for the Olympics and the FIFA World Cup and was named one of Inc. Magazine’s fastest growing private companies in America. He wrote two books on the intersection of music and brand strategy, both of which ended up in university curricula worldwide. The experience gave him a working theory about attention and belief that most people in marketing were not yet asking about.
That theory became The Desire Company. When every brand was rushing toward influencer marketing, Eric went the other direction. His argument was not complicated: paid personalities do not convert skeptical shoppers. Credentialed experts do. Build the infrastructure around that, and you change how commerce content works.
He has been recognized with Billboard’s 30 Under 30, Crain’s Tech 50, and awards from Cannes Lions, CLIO, LIA, and the Emmys. He has spoken at TEDx, eTail Boston, the ANA Masters of Advertising Law Conference, and SyncSummit Hollywood. He speaks at conferences and gives presentations the way he builds companies: with a point of view people do not always expect.
ABOUT THE DESIRE COMPANY
The Desire Company makes performance optimized content for commerce, built to work across the full funnel, from the moment a shopper first encounters a product to the moment they decide to buy it.
Shoppers do not trust ads. They do not fully trust reviews they cannot verify. What they trust is someone with genuine expertise, someone who has used the product and has no obvious reason to spin it. The Desire Company built the infrastructure to deliver that at scale: a vetted, multidisciplinary community of credentialed experts producing FTC compliant content that lives on product detail pages, retail media networks, and brand websites.
The results are documented. An approximate 4x Sales Lift. 300 percent increases in shopper confidence. Shoppers spending 25 percent more per order after watching the content. Retailers like Best Buy, Sam’s Club, and Tractor Supply Company run it on their platforms. Brands like Bose, KitchenAid, Sonos, and RevAir use it to close the distance between a shopper who is browsing and one who is ready to buy.
The reason this matters more now than it did two years ago is agentic commerce. AI systems no longer just serve content to shoppers. They evaluate it, filter it, and make recommendations based on what they find. Before a shopper enters the decision, an AI agent has already assessed the product page for credibility, completeness, and confidence signals. Thin content gets passed over. Content that reads as unique, direct, authoritative, expert driven, and substantiated gets surfaced. The Desire Company’s methodology was built around exactly those signals, which means brands that activate it are not just converting shoppers today. They are positioning their products to be found and recommended by the AI systems that are increasingly making the first cut.
With a four week turnaround and clean integration into every major platform, The Desire Company gives brands and retailers a way into that environment without rebuilding anything they already have in place.
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