FoundIt! vs Lily AI
Lily AI enriches product data with customer-centric attributes and distributes it to the systems that need it. FoundIt! does that too, and then keeps going: turning enriched data into structure, and structure into the navigation, collections, search results, and product pages your customers actually experience. Enrichment is where we start, not where we stop.
Where enrichment stalls
Enriched attributes are an input, not a result
Everyone in this category agrees on the diagnosis. Product catalogs are written in merchant language, customers shop in their own, and the gap between the two costs retailers enormous amounts of revenue. Enriching product data with customer-centric attributes is the right response.
The harder question is what happens next. Attributes have to become something a customer can see and use: a filter, a collection, a navigation path, a search result, a ranking page. That translation is real work, and it is where most enrichment programmes stall. The tags land in the PIM, the feed gets richer, and the on-site experience looks broadly the same as it did before.
Attributes are not the outcome. Findability is. A tag nobody can navigate to is not much more useful than the tag that was missing.
Side by side
How the two approaches differ
| Capability | Lily AI | FoundIt! |
|---|---|---|
Core offering | Customer-language product attribution, distributed to your systems | Intent-led enrichment plus the structure and experiences built on top of it |
Attributes | Customer-centric attributes, synonyms, and trends | Deep intent attributes, generated as one force within a connected system |
Structure | Enriched attributes supplied to downstream platforms | Attributes laddered into customer decision trees, facets, and taxonomy |
On-site experience | Depends on your search, nav, and merchandising platforms to apply it | Deploys visual navigation, curated collections, and PDP discovery directly |
Integration & Deployment | Enriched attribute data delivered to your teams to implement in your own systems | Secure API and event-driven integration, deployed and maintained by FoundIt! |
Curation | Attribute and trend data to inform merchandising | Generates net-new collections and mission-based journeys automatically |
SEO & AEO | Enriched data improves feeds and organic language | Intent-led architecture plus our own front-end interlinking component, independently validated in live A/B testing |
What you measure | Richer product data across the value chain | Revenue, conversion, and organic traffic movement from deployed experiences |
The difference that matters
We don’t hand you better data. We hand you a better experience.
Enrichment on its own leaves you with a project. Someone still has to decide which attributes become facets, how they group into a taxonomy that customers understand, which collections are worth building, where they appear in the navigation, and how the whole thing updates as trends shift. That work is substantial; it needs a platform to execute on, and it is exactly where the value either lands or evaporates.
FoundIt! treats enrichment as Force 3 of four. Intent gets captured, structure gets built, product data gets enriched against that structure, and the result is deployed across your channels, then measured. Because the same intent layer drives it all, your navigation, curation, site search, product pages, SEO, and feeds tell a consistent story rather than each interpreting a shared tag set differently.
If you need product attributes to feed platforms you already have, a dedicated attribution tool is a reasonable choice. If you need customers to find more products and buy them, attributes are the starting point.
Proof in the real world
Tags don’t move revenue. Experiences do.
Enrichment, deployed and measured
Ironmongery Direct made 20,000+ products findable in customer language and delivered an 8% year-on-year revenue uplift, with margin holding firm. Fenwick applied intent to navigation across a 200,000-page catalog and added 9% to revenue in six weeks, reaching statistical significance in an A/B test. John Lewis saw an 8.6% lift in organic PLP traffic, independently validated by SearchPilot. Each of those is enrichment turned into something customers could actually use.
“We used to be a catalog retailer that happened to have a website. Now we’re a fully digital retailer.”
Go past the tags
Better product data is the right instinct. Deployed discovery is the outcome. We’ll show you what intent-led enrichment looks like once it reaches your navigation, your collections, your search, and your product pages.