{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"CommerceAI","title":"\"Commerce is still personal\" - in conversation with Simon Dyer, Mirakl","html":"","width":"100%","height":180,"duration":2095,"description":"\nFor retailers and brands still treating product data as an SEO problem, this episode is a direct challenge. Simon Dyer of Mirakl argues that the structural shift underway is not faster search but a different kind of search entirely: AI agents acting on behalf of customers, asking intent-rich questions that current product catalogues simply cannot answer. The conversation moves from marketplace economics and retail media flywheels through to a specific and actionable claim -- that community-generated data is the one truly defensible moat -- and closes on the emerging trust battle between platform giants competing to own the protocol layer of agentic commerce.\nKey themesFrom SEO to GEO. As AI agents replace keyword search with conversational intent queries, product catalogue optimisation shifts from search engine optimisation to generative engine optimisation. Retailers who hold colour, size, and material data but not contextual, emotional, or situational attributes risk becoming invisible to the LLMs making recommendations on customers' behalf.Community data as the defensible moat. When brand product data is commoditised -- every retailer receives the same feed from New Balance -- the differentiator is proprietary community conversation: reviews, forum threads, and user-generated context that answer questions the manufacturer never thought to address. Simon's argument is that this data, structured so LLMs can find it, is where the recommendation competition will be won.The marketplace flywheel. Mirakl's model connects operators (retailers), sellers (brands and third parties), and customers in a self-reinforcing loop. Adding retail media to the mix creates a second revenue stream -- 70 to 80 per cent margin on promoted placements -- that scales as the seller ecosystem grows, solving the labour problem of managing hundreds of sellers through self-serve access.AI as the expert executioner. Simon's operating principle inside Mirakl is that AI executes faster, more...","thumbnail_url":"https://img.transistorcdn.com/6XUPDihUkuCPm3PnIb8K-PUA2E498QQeSfVpKPViPOk/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82MmRl/ODliZTRlNjQ0OTVm/MGNkNmNjYjQ1YmM3/ZDE3YS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}