Question: Is there a technology that can help me optimize my search engine marketing for retail products?

If you're trying to get the most out of search engine marketing for e-commerce products, ViSenze is worth a look. The company's platform uses multimodal AI to power search and product recommendations, letting customers search by natural language text, keywords, images, LLM-based chat or social media posts. With features like multi-search, recommendations and advanced analytics, ViSenze can be used in conjunction with ecommerce sites and scales easily. It's used by many major brands and retailers to boost conversions and customer satisfaction.

Another good option is Fast Simon. The AI-powered platform improves site search, merchandising and personalization with tools like AI merchandising, personalized customer experiences and visual discovery. It works with a variety of ecommerce sites and integrates with partners like Tapcart and Klaviyo, so it's a good option for retailers who want to improve visual discovery and streamline their marketing.

If you want a more integrated solution, Lily AI helps bridge the gap between brand and customer language, improving search, recommendations and demand forecasting. It uses more than 20,000 product attributes to provide customer-centric language and can integrate with many retail technology partners. Lily AI is particularly well-suited for fashion, home and beauty, where product attribution can help retailers better understand consumer preferences.

Last, Klevu is geared to improving conversion rates with better search, merchandising and product recommendations. It offers AI search with predictive autocomplete, personalized recommendations and category merchandising with control over page layouts. Klevu works with a variety of ecommerce sites and offers enterprise-level support, so it's a good option for retailers who want to maximize revenue growth and customer satisfaction.