What makes a product feed agent-ready

Most product feeds were built for a world of keyword matching. Agent-ready feeds are built for interpretation. Here's how to tell the difference, and how to close the gap.

1. Attributes that answer questions

Agents reason over attributes. Fit, material, occasion, compatibility, care: the more complete and consistent your attributes, the more confidently an agent can match your product to a shopper's intent.

2. Language shoppers actually use

Merchandising language and shopper language drift apart over time. Agent-ready descriptions bridge the two, using the words people search and ask with, without keyword stuffing, which agents are good at discounting.

3. Signals of trust

Reviews, ratings, and return data help an agent judge whether to recommend a product. Surfacing these in a structured, machine-readable way is increasingly table stakes.

Lily Max automates this enrichment at catalog scale and measures which improvements actually move visibility and conversion, so you're investing in the signals that pay off, not guessing.