A new industry benchmark landed this week that grades retailers on a single, increasingly urgent question: can an AI shopping agent actually find, read, and recommend your products? Digital Commerce 360 and agentic commerce startup ReFiBuy launched the AI Commerce Rankings on July 15, the first quarterly index built to score how ready the Top 1000 online retailers are for AI-driven shopping. The early leaderboard is not what most executives expected.
Instead of the usual giants on top, the first readings put niche and mid-market brands ahead of household names. Online Labels, a company ranked No. 814 by online sales, leads the entire AI index with a readiness score of 71.8. Scale, it turns out, does not decide whether a store is buyable by AI.
The short version
- Digital Commerce 360 and ReFiBuy launched the AI Commerce Rankings on July 15, a first-of-its-kind quarterly benchmark for AI shopping readiness.
- It scores the Top 1000 retailers on four signals, including whether AI agents can even read their catalog.
- Small brands like Online Labels, Nixon, Fashionphile, Everlane, and Brooklinen top the early list, not the biggest chains.
- Office supplies leads all 15 categories with an average readiness score of 47.4 and the highest AI traffic penetration.
- ReFiBuy calls the discipline “agentic commerce optimization,” essentially SEO for AI shopping agents.
What the AI Commerce Rankings actually measure
The index scores each retailer on four core signals, refreshed every quarter. The methodology is deliberately narrow, focused on whether AI systems can discover and act on a catalog rather than on brand size or ad budget.
- Bot friendliness: whether AI agents can access and read the retailer’s catalog data at all.
- AI source traffic: the share of site traffic already arriving from AI-powered discovery tools.
- Diversity of AI sources: whether that traffic comes from multiple AI engines and destinations, not just one.
- 90-day momentum: whether AI-source traffic is trending up or sliding down.
“As AI-driven shopping becomes a more meaningful part of product discovery, retailers need new ways to understand how they are positioned,” said Brian Warmoth, editor-in-chief at Digital Commerce 360. The rankings live inside the 2026 Top 1000 PRO database and will update quarterly, so a store’s score can move as its catalog and traffic change.
Small brands are outranking the giants
The headline finding is that agentic readiness and raw sales volume are barely related. Online Labels sits at No. 814 by online sales yet leads the AI index at 71.8, ahead of far larger competitors. Nixon, Fashionphile, Everlane, and Brooklinen round out the early leaders.
What those brands share is not size. They tend to run accessible catalogs, differentiated assortments, and strong SKU-level product storytelling, the kind of structured, descriptive data an AI agent can parse and trust. At the category level, office supplies leads all 15 verticals with an average readiness score of 47.4, pairing the highest average score with the highest AI traffic penetration in the index.
Why retailers are racing to be buyable by AI now
The timing is not academic. AI already shaped a large slice of last season’s spending: by Salesforce’s count, AI influenced 20% of global online sales during the 2025 holiday period, worth about $262 billion. AI-referred traffic also tends to convert at roughly eight times the rate of social traffic, which is why merchants keep shifting budget toward it.
Shopper adoption is climbing fast too. Recent industry data shows how quickly this is arriving:
- 47% of online shoppers used some form of AI during their most recent purchase.
- 64% expect to use AI shopping agents within two years.
- 37% of retailers name AI shopping assistants as their top planned investment over the next three years.
All of this is happening while the plumbing gets built. Google is pushing its Universal Commerce Protocol with partners including Shopify, Etsy, Wayfair, Target, and Walmart, Amazon is selling its Alexa-derived shopping tech to outside retailers, and Salesforce has moved its Shopper, Buyer, and Merchant agents to general availability. A ranking that tells brands where they actually stand was the missing piece.
How to make your catalog readable to AI shopping agents
The practical takeaway is that agentic commerce optimization, the phrase ReFiBuy coined, looks a lot like SEO rebuilt for machines that buy. If an agent cannot crawl your product feed, you are invisible at the exact moment a shopper hands off the purchase.
Retailers scoring well tend to do a few things consistently:
- Let reputable AI crawlers reach catalog and product pages instead of blocking them by default.
- Write detailed, accurate SKU-level descriptions with attributes an agent can match to a query.
- Keep structured product data clean, complete, and current across every listing.
- Track how much traffic already comes from AI sources, and watch the 90-day trend.
You can read the full methodology in the Digital Commerce 360 announcement, which lays out how each score is built.
FAQ
What are the AI Commerce Rankings?
A quarterly benchmark from Digital Commerce 360 and ReFiBuy, launched July 15, 2026, that scores the Top 1000 online retailers on how ready they are for AI-driven shopping. It measures bot friendliness, AI source traffic, source diversity, and 90-day momentum.
Why do smaller brands rank higher than big chains?
Because the index rewards accessible catalogs and clean product data, not sales volume. Online Labels, ranked No. 814 by sales, leads the AI index at 71.8 because its catalog is easy for agents to read and act on.
What is agentic commerce optimization?
It is the practice, named by ReFiBuy, of structuring a store’s catalog, feeds, and product data so AI shopping agents can discover, understand, and recommend its products. Think of it as SEO for the era of AI agents that shop on a customer’s behalf.
For any retailer, the move today is simple: check whether an AI agent can even reach your catalog, then treat that score the way you once treated your Google ranking. The stores already doing it are pulling ahead while the leaderboard is still forming.