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Product data: attributes, taxonomy and enrichment

Product data is the structured record of attributes, taxonomy and enriched descriptions that makes a catalog legible to the search engines, ad platforms and AI agents that decide what shoppers see.

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Guides · 19 min read

Product attributes: which ones each discovery surface reads, and what a good one looks like

Which product attributes each discovery surface reads, what a well-formed value looks like, and the 2026 Merchant Center fields to fill in first.

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All posts on product data: attributes, taxonomy and enrichment

Product Data Enrichment: What It Means When the Machines Are the ReaderGuides · August 25, 2026
Product taxonomy: where a product sits, and which queries it is eligible forGuides · August 25, 2026
Google just told the market AI content isn't the moat. Structured product data is.Takes · May 18, 2026
Brands are paying for bad product data twice nowTakes · April 27, 2026
What is Product Content Optimization? 3 Things to KnowGuides · April 16, 2025
From Y3K to Indie Sleaze: Brat Summer’s 4 Key Fashion TrendsTakes · June 26, 2024
2024 Trends: Macro vs. MicroTakes · January 30, 2024
Quiet Luxury Part DeuxTakes · May 8, 2023
The Rise of Quiet LuxuryTakes · May 1, 2023
Lily AI’s Fashion Product Taxonomy: What is Dark Academia?Takes · November 30, 2022
Lily AI’s Fashion Product Taxonomy: What is Barbiecore?Takes · November 2, 2022
The Top Home Decor StylesTakes · September 9, 2022

Case studies

thredUPSell-through +15%

thredUP increases sell-through by 15% with enriched product data

Global luxury retailerRelevant results up to 30x

A global luxury retailer increases relevant results for descriptive searches by up to 30x

Large multi-brand retailer$22M projected revenue

A large multi-brand retailer boosts product discovery, projecting a $22M revenue increase

Large multi-brand retailerRPV +0.65% · $20-30M

Lily AI recommendations increase RPV by 0.65%, driving $20-30M in incremental demand

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