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The Definitive Index

The AI Commerce Rankings

The first-of-its-kind quarterly benchmark ranking the Top 1000 retailers on readiness for AI shopping. Co-developed by ReFiBuy and Digital Commerce 360.

01 What it is

The Top 1000, measured for the AI era.

The AI Commerce Rankings score every retailer in the Digital Commerce 360 Top 1000 on readiness for AI shopping. ReFiBuy co-developed the methodology and produced the underlying data and scoring. Digital Commerce 360 brought the retailer universe and publishes the results in the 2026 Top 1000 report.

For more than two decades, the Top 1000 has ranked retailers by estimated online sales. The AI Commerce Rankings add a new measure: whether a retailer's product data is ready for AI shopping agents to read, interpret, and recommend.

“Estimated online sales show who won the last era of ecommerce. The AI Commerce Rankings show who is positioned to win the next one.”

Scot Wingo, CEO, ReFiBuy
02 How it's measured

What the readiness score measures.

Every retailer's catalog is scored from 0 to 100 on what AI shopping agents actually experience: whether they can reach the catalog, how much traffic they already send, how many engines that traffic comes from, and which direction it's moving.

01

Bot friendliness

Whether AI shopping agents can reach, read, and transact with the catalog, including UCP and ACP support.

02

AI source traffic

How much traffic the retailer already receives from answer engines.

03

Diversity of AI sources

Whether that traffic spans many answer engines or depends on a single one.

04

90-day momentum

The direction of travel over the last quarter, not a single snapshot in time.

The four measures combine into a single score, recalculated every quarter as catalogs and answer engines change. The methodology is re-evaluated each quarter too: agentic commerce moves fast, and each edition documents what changed in the algorithm and why.

How to read it

A low score does not mean a retailer has no AI work underway. It means AI shopping agents cannot yet fully see the results. Scores reflect what agents can observe, not internal roadmaps. And every input is measured from what agents actually encounter.

03 Why now

AI shopping is already a path to purchase.

Consumers already research, find, and buy through AI shopping agents on ChatGPT, Google Gemini, Alexa for Shopping, and more. The AI Commerce Rankings add the readiness dimension that sales rank alone was never designed to capture.

693%
Year-over-year growth in generative AI traffic to U.S. retail sites during the 2025 holiday season.
393%
Year-over-year growth in AI-source traffic to U.S. retail sites in Q1 2026.

Source: Adobe Analytics.

04 The findings

What the first rankings show.

First edition · July 2026 · Published with the 2026 Top 1000

87.1%
of the Top 1000 already receive measurable AI traffic, totaling nearly 109 million visits.
42.0
average readiness score across all 1,000 retailers (median 44.1).
72
highest score recorded. No retailer scores above it.
26%
of retailers have verified UCP status.
  1. The AI leaderboard is a different leaderboard.

    The retailers leading on AI readiness are not the retailers leading on sales. Accessible catalogs and interpretable product data beat scale.

  2. Some of the largest retailers by online sales rank in the bottom half on AI readiness.

    Web traffic that dwarfs everyone else's does not translate into agent readiness, and several of the biggest names block the very agents reshaping discovery.

  3. One engine drives most AI traffic. Depending on it is a risk.

    ChatGPT accounts for more than 80% of AI-referred traffic today, which is exactly why source diversity is a scored signal.

  4. An average score of 42 means the race is still open.

    Only 20 of the 1,000 retailers score above 60. Nobody has this solved yet, and the retailers that invest in readiness now will define the standard the rest of the market chases.

AI readiness by category

Average readiness score across 15 categories. Practical, research-heavy categories lead. Grocery trails.

Office SuppliesLeads the index47.4 Jewelry45.0 Hardware & Home Improvement44.8 Consumer Electronics44.3 Apparel & Accessories42.2 Toys & Hobbies42.1 Housewares42.0 Health & Beauty41.6 Flowers & Gifts40.9 Sporting Goods40.8 Automotive40.6 Specialty40.3 Pet Care40.0 Mass Merchant38.5 Food & Beverage37.2

Average readiness score by category, first edition. Bars above the index average of 41.9 are shown in blue. Bar lengths are scaled within the observed score range so category differences read clearly; exact scores are printed on every row. Source: ReFiBuy AI Commerce Rankings, first edition, 2026.

Office Supplies47.4

A small category that punches far above its weight, pairing the highest average score with the highest AI traffic penetration in the index. Labels, signage, and printing are natural fits for AI-driven product research.

Jewelry45.0

The most diversified answer-engine visibility of any category. High-consideration purchases send shoppers across multiple AI tools to research and compare before they buy.

Hardware & Home Improvement44.8

Second-highest average score, led by niche specialists rather than household names. Project planning and product comparison are exactly the research AI shopping agents get used for.

Automotive40.6

The only category where not one retailer has verified UCP support, yet AI traffic penetration runs above the index average. The most open field in the rankings.

Mass Merchant38.5

Second-highest total AI traffic, below-average readiness. The average mass merchant sits 179 places lower on AI readiness than on online sales rank, the widest gap of any category.

Food & Beverage37.2

The lowest score and the lowest AI traffic penetration, even though food and grocery lead consumer shopping categories. One top-10 retailer by online sales ranks below #550 on AI readiness. That gap is the early mover's opening.

The rankings refresh every quarter. Get each edition as it publishes.

05 The leaders

AI readiness rarely matches sales scale.

AI Readiness Rank: how well a retailer's product data is structured for AI shopping agents to read, interpret, and recommend. Built from a 0 to 100 readiness score.

Online Sales Rank: where the retailer places among the Digital Commerce 360 Top 1000 by estimated online sales. Rank 1 is the largest online seller.

The five AI readiness leaders: rank, company, category, readiness score, online sales rank, and rank difference
AI Readiness Rank Company Category Readiness Score Online Sales Rank Rank Difference
1 Online Labels Labels & stationery 71.8 #814 ▲ 813
2 Nixon Watches 71.1 #722 ▲ 720
3 Fashionphile Luxury handbags 70.9 #826 ▲ 823
4 Everlane Apparel 70.4 #264 ▲ 260
5 Brooklinen Home & linens 68.6 #331 ▲ 326

The #814 retailer by online sales is the #1 retailer in AI readiness. Scale doesn't set readiness, and readiness doesn't follow size.

“As AI-driven shopping becomes a more meaningful part of product discovery, retailers need new ways to understand how they are positioned. ReFiBuy brought the methodology and data capabilities to help us add an important new layer of agentic readiness to the Top 1000.”

Brian Warmoth, Editor-in-Chief, Digital Commerce 360
06 Now what

A rank tells you where you stand. It doesn't tell you what to do.

The ranking is the diagnosis. Agentic Commerce Optimization (ACO) is how a brand moves up.

STEP 01

See where you stand

Run an Agentic Readiness Report to measure how agents read your catalog today.

STEP 02

Close the gaps

Enrich the product data agents need to read, represent, and recommend your products.

STEP 03

Hold position

Monitor each quarter as the rankings refresh and answer engines change.

See where your catalog stands.

Get the full Top 1000 and AI Commerce Rankings from Digital Commerce 360, then run an Agentic Readiness Report to measure how ready your own catalog is.

FAQ

Frequently asked questions

What are the AI Commerce Rankings?

The AI Commerce Rankings are a first-of-its-kind quarterly benchmark that measures how prepared the retailers in Digital Commerce 360's Top 1000 are for agentic commerce. They were co-developed by ReFiBuy and Digital Commerce 360.

Who publishes the AI Commerce Rankings?

The rankings are published as part of Digital Commerce 360's 2026 Top 1000 report. ReFiBuy co-developed the methodology and produced the underlying data and scoring.

How is the readiness score calculated?

Each retailer is scored on four core signals: bot friendliness, AI source traffic, diversity of AI sources, and 90-day momentum. Bot friendliness covers both agent access and support for agentic commerce protocols like UCP and ACP. The signals combine into a single 0 to 100 readiness score.

How often do the rankings update?

Quarterly. Scores are recalculated each quarter as catalogs and answer engines change, and the methodology is re-evaluated on the same cadence. Each edition documents any changes to the algorithm and the reasoning behind them.

Which retailers rank highest on AI readiness?

In the first edition (July 2026), the five highest-scoring retailers are Online Labels, Nixon, Fashionphile, Everlane, and Brooklinen. None of them ranks near the top of the Top 1000 by online sales, which is the first edition's headline finding: AI readiness does not follow sales scale. The full ranked list of all 1,000 retailers is published in Digital Commerce 360's 2026 Top 1000 report.

How does a retailer find its own rank?

The full ranked list of all 1,000 retailers is available from Digital Commerce 360. For catalog-level readiness, any brand or retailer can run ReFiBuy's Agentic Readiness Report.