Lily AI new solution optimizes product content for AI-driven search engines, enhancing visibility and eCommerce performance.
Lily AI has launched a GenAI-powered content optimization platform to help retailers improve their product visibility across both traditional search engines and new AI-driven discovery platforms. The tool ensures product listings are optimized for generative search systems like ChatGPT, Gemini, Claude, and Perplexity. This addresses the growing challenge of making retail content understandable to these engines.
Traditional product descriptions often miss natural language and structure that AI search models require to provide rich, relevant answers. Lily AI solves this by using proprietary GenAI to automatically enrich product data, aligning it with how real shoppers search online. The platform updates product titles, descriptions, and FAQs using plain, consumer-friendly language. While also embedding structured data like FAQPage and Product schema to boost AI discoverability.
The system also closes keyword gaps by analyzing shopper intent and refreshing product catalogs with AI-ready JSON-LD fields. This ensures products are not only optimized for Google and Bing but are also primed for inclusion in zero-click results and AI-generated citations. Which are becoming central to how consumers find and decide on purchases.
Lily AI’s solution has shown strong results in pilot tests, significantly increasing product visibility and conversion rates for early adopters. The platform provides a scalable, automated approach to meet the demands of evolving search behaviors in an AI-first digital commerce world. This helps brands capture more sales without manual content updates.