Lily AI enriches retail product catalogs with customer-centered attributes, helping enterprise brands improve product discovery, recommendations, and marketing feeds.
Lily AI included for comparison — click any alternative to jump to its full breakdown below.
| Alternative | Pricing | License | Built for | Founded | Best for |
|---|---|---|---|---|---|
| Lily AI Current | $0.00Paid | Proprietary | Enterprise Marketing | 2015 | The one you're replacing |
| Syte | $0.00Paid | Proprietary | Enterprise Developers | 2015 | Visual AI product discovery |
| ViSenze | $0.00Paid | Proprietary | Enterprise Developers | 2012 | Image-heavy catalog enrichment |
| Constructor | $0.00Paid | Proprietary | Enterprise Developers | 2015 | Behavior-driven retail search |
| Nosto | $0.00Paid | Proprietary | Enterprise Marketing | 2011 | Personalized ecommerce merchandising |
| Klevu | $0.00Paid | Proprietary | Small Business Enterprise | 2013 | Large-catalog onsite search |
Filter by pricing model or license — every entry is one we’d consider a real replacement.
When shoppers cannot put a product into words, Syte uses visual AI to connect images and intent with relevant items across a retailer’s catalog.
Shoppers often know what an item looks like but not the words to search for. ViSenze gives retailers visual search, catalog tagging, and recommendation APIs suited to image-heavy product catalogs.
Poor retail search buries relevant stock and costs conversions; Constructor uses shopper behavior to improve product discovery. It is especially good at ranking large catalogs around purchases rather than simple keyword matches.
Nosto personalizes ecommerce storefronts, giving merchandising teams practical control over recommendations, search, category ordering, and segmented content.
Klevu is built for ecommerce teams whose large catalogs have outgrown their platform’s default search. They choose it for relevant onsite results, practical merchandising controls, and discovery tools that work across established commerce stacks.
