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AI Commerce Rankings Reveal Product Data Gaps Across 1,000 Retailers | AI Best Practices for Commerce | AI Best Practices for Commerce
  1. News
  2. › Retailers assess and implement AI readiness strategies
  3. › Jul 10, 2026
Retailers assess and implement AI readiness strategiesFriday, July 10, 2026
  • Retail / DTC › Other Miscellaneous Retailers › Pet and Pet Supplies Retailers
  • Retail / DTC › Warehouse Clubs, Supercenters, and Other General Merchandise Retailers › Warehouse Clubs and Supercenters
ESB / iPaaSLLMDigital Commerce 360GoogleNixonOnline LabelsReFiBuyAI Commerce Rankings · refibuyUniversal Cart Protocol · google

AI Commerce Rankings Reveal Product Data Gaps Across 1,000 Retailers

Digital Commerce 360 and ReFiBuy launched a quarterly AI Commerce Rankings benchmark scoring 1,000 retailers on AI shopping readiness, with the average retailer scoring just 41.9 out of 100. The findings show that AI-ready catalogs and bot-friendly infrastructure—not sales size—now determine competitive positioning in the next era of ecommerce.

AI-generated. Summaries are AI-generated from cited sources. Click through for the original report.

Digital Commerce 360 and ReFiBuy published the first edition of the AI Commerce Rankings, a quarterly benchmark that scores all 1,000 retailers in the Digital Commerce 360 Top 1000 on readiness for AI shopping agents (Retail TouchPoints). Online Labels, ranked No. 814 by online sales, leads the index with a readiness score of 71.8, followed by Nixon (No. 722 by sales, score 71.1) and Fashionphile (No. 826 by sales, score 70.9) (Retail TouchPoints). The average readiness score across all 1,000 retailers is 41.9 out of 100, with only 20 retailers scoring above 60 (Retail TouchPoints).

Each retailer receives a score from zero to 100 based on four signals: bot friendliness (whether AI agents can access and transact with the catalog, including support for Universal Cart Protocol and Agentic Commerce Protocol), AI source traffic, diversity of AI sources, and 90-day momentum (Retail TouchPoints). ChatGPT accounts for more than 80% of AI-referred retail traffic, making source diversity a critical scoring signal as retailers face platform concentration risk (Retail TouchPoints). For commerce practitioners, the rankings signal that product data quality and agent-accessible infrastructure now matter more than historical sales dominance; retailers must verify their catalogs are readable and transactable by AI shopping agents to compete in the emerging era.

Office supplies leads all 15 categories with an average readiness score of 47.4, while food and beverage ranks lowest at 37.2 (Retail TouchPoints). Mass merchants show the widest gap, sitting on average 179 places lower on AI readiness than on online sales rank (Retail TouchPoints). Scores will be recalculated quarterly as catalogs and answer engines evolve, making ongoing optimization of product data and agentic commerce support essential for retailers seeking to maintain visibility and traffic in AI-driven discovery channels.

Sources:1 report
  • Retail TouchPoints
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ShareLast updated: July 10, 2026