Blog · Guides
Guides
Long-form, practitioner-level guides to product feeds, attributes, taxonomy, enrichment and how AI surfaces pick products.
Agentic commerce: what it is, what changed in 2026, and what a brand actually has to do
Agentic commerce is AI agents buying on a shopper's behalf. What changed in 2026, what an agent reads from your catalog, and what to fix before Q4.
Does feed optimization increase sales? The anatomy of a controlled test
Does feed optimization increase sales? Yes, against a control. Get the full test design: matched spend, 28-day holdout, difference-in-differences.
How AI Shopping Assistants Actually Pick Which Products to Recommend
AI shopping assistants retrieve before they rank. See what each surface reads from your product record, and which missing attributes disqualify you.
What actually goes in Google Merchant Center conversational attributes
What actually goes in Google Merchant Center conversational attributes: worked before-and-after values for apparel and home, plus where to mine them.
Merchant Center suspended for misrepresentation: the checklist, in the order we find them
Merchant Center suspended for misrepresentation? Work this checklist in the order we find them, catch every mismatch, and appeal once with the whole fix.
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.
Product Data Enrichment: What It Means When the Machines Are the Reader
Product data enrichment is not filling empty fields. Get the working definition, the four readers, the boundary with PIM, and a way to measure lift.
Product feed optimization: what it is, what actually moves revenue, and how to prove it
Product feed optimization is a vocabulary problem. The three layers, the eight changes that move revenue, and how to prove the lift with a control.
Product taxonomy: where a product sits, and which queries it is eligible for
A product taxonomy decides which queries your catalog is eligible for. Learn to map it, structure it and maintain it across search, Shopping and AI.
GuidesThe Role of Product Content in AI Search and Discovery
Product discovery is experiencing its biggest shift since digital commerce began. This report gives retailers a framework for structuring product content so generative engines can surface it.
The Readiness Gap: Why 70% of Shoppers Are Ahead of Retailers in AI Commerce
Shoppers are adopting AI-powered shopping faster than retailers can adapt. This report reveals how consumers use AI to search, compare, and buy, and what brands must do to stay visible.
Guides5 Ways Smarter Product Content Can Boost Your Google Ads ROI This Holiday Season
Holiday 2025 is shaping up to be one of the most competitive seasons on Google, where performance depends less on keyword strategy than on how well Google can understand what you sell.
GuidesProduct Discovery Disrupted: From SEO to GEO and Beyond
See why AI disrupted search and shopping for the better, and how to succeed in the new world of AI-powered search and shopping across paid, organic, and owned on-site.
GuidesWhat is GEO vs SEO? Retail FAQs
Ask 10 CMOs whether they should be concerned about GEO and you will get 10 different answers. Here are the most common questions about generative engine optimization, unpacked.
GuidesWhat is Product Content Optimization? 3 Things to Know
In an AI-dominated retail world, basic product copy and bare minimum product data no longer cut it. Three things every retailer, brand, and agency needs to know about product content optimization.
GuidesThe Search for Smarter Shopping: The Power of Product Content
Findings from a consumer shopping survey conducted by Lily AI in January 2025, on the heels of the 2024 holiday season, assessing consumer sentiment toward online search and discovery.
GuidesA-Z Glossary: Key Concepts in AI-Powered Search, Commerce, and Advertising
Do you know your product attribution from your measurement attribution? An A-Z glossary of product attributes and content enrichment, AI search and discovery, measurement, and agentic AI.
How AI Connects With Consumers Shopping for the Holidays . . . Wherever They Are!
Economic uncertainty and a shorter holiday season make 2024 feel faster-paced and unpredictable. Retailers cannot just remind holiday shoppers they exist; they have to inspire them.
The Inaugural Retail AI Index: Celebrating the Top 100 Brands and Retailers
The inaugural 2024 Retail AI Index, completed with Radii Group, ranks the top 100 brands and retailers and shows how AI is visibly reshaping apparel, footwear, beauty, and home.
When Is the Right Time to Implement Product Content Optimization for Descriptions, Attributes, and Metadata?
It is always the right time to improve your product data. But re-platforming, piloting, or building in-house can make it feel otherwise, so here is a plan for every stage.
GuidesReport: How AI Bridges the Retail Consumer Expectation Gap
Our report with RETHINK Retail surveyed over 1,000 North American consumers across fashion, home, and beauty to address the gaps between consumer expectations and what retailers deliver.
GuidesC-Suite Questions About AI Answered
55% of retail executives say they’ll invest in AI for marketing and 39% to enhance customer experiences. Answers to the cost, technology, and results questions the c-suite asks most.
GuidesHow to Fast-Track AI Evaluation & Onboarding with Your Business Technology Team
When implementing AI, effective collaboration with your Business Technology team is critical. How to convey business impact, ease of set-up, and high safety standards from the onset.
GuidesHow to Effectively Co-Champion Technology Investments with Your Data & Analytics Business Partners
Lily AI can significantly augment decision-making and operational efficiency, but championing it means conveying that potential to data and analytics professionals from the onset.