Getting Started
How VisualDNA™ Works
Search, Collections & Merchandising
Dealbreaker™ Filters
Bundles & Basket Growth
Shop Similar
Brand, Content & Experience
Recovery & Retention
Pricing & Billing
AI MetaLayer™: making RecoMelon discovery machine-readable
AI MetaLayer™ is RecoMelon's approach to making discovery experiences more legible to search engines and AI systems through meaningful product context and structured metadata, so rich storefront experiences do not have to become opaque to machines.
Rich interfaces can hide useful meaning
A visual recommendation experience may be obvious to a shopper while exposing little semantic context to a crawler or AI agent. AI MetaLayer™ is intended to make RecoMelon experiences easier for machines to interpret.
What machine-readable discovery means
Useful machine context can include explicit product relationships, descriptive labels, stable links and structured metadata that explains what a discovery surface represents.
Why this matters for search engines
Search engines need crawlable information and understandable page relationships. RecoMelon experiences should complement rather than obscure product, collection and internal-link architecture.
Why this matters for agentic search
AI systems increasingly retrieve and synthesise product information rather than only returning a list of blue links. Clear product relationships and explicit terminology can make it easier for an agent to understand why products are related and what a storefront experience does.
AI MetaLayer™ is not a substitute for technical SEO
Stable URLs, canonical strategy, crawlable links, useful page copy and accurate product data remain important. The metadata layer should strengthen those foundations, not attempt to replace them.
