Lantern Launches Agentic Platform to Secure Visibility in AI Shopping

Traditional ecommerce dashboards were built for a era where brands controlled the consumer journey, but the rise of large language models has rendered these tools largely obsolete. With roughly 75 percent of new product searches now occurring within AI systems, brands face a critical 'black box' problem: they often remain invisible to AI agents that curate shopping recommendations. Lantern aims to bridge this gap by monitoring how products are interpreted and automatically applying changes to catalogs and pages to boost conversion rates, which are reportedly five to eight times higher than standard organic search.

CEO Andrew Lissimore argues that modern retail success requires acting faster than the algorithms shaping consumer demand. Instead of simply reporting performance data, the platform employs proprietary models to predict how AI interprets specific products and suggests concrete optimizations. These updates are deployed only after team approval, ensuring that brands maintain control while adapting to the volatile infrastructure of AI-driven commerce. Beyond its core software, the company is actively contributing to emerging industry standards like the Universal Commerce Protocol to ensure its tools remain effective as search protocols and retrieval methods continue to evolve.