---
title: "Apparel agentic commerce benchmark"
source: "https://ottom.io/benchmarks/apparel"
summary: "Across 60 apparel stores Ottom measured at every stage in the 90 days to 20 October 2026, the median agentic readiness score was 97 out of 100. 93% of them let an AI shopping agent reach the payment step."
---

# Apparel agentic commerce benchmark

Across 60 apparel stores Ottom measured at every stage in the 90 days to 20 October 2026, the median agentic readiness score was 97 out of 100. 93% of them let an AI shopping agent reach the payment step.

Cohort: 60 stores measured at every stage, of 64 scanned. Window: 22 July 2026 to 20 October 2026. Version: v2.0.8. Methodology: bench-v5, https://ottom.io/benchmarks/methodology.

A store enters Ottom’s survey only if a catalogue of at least ten products can be read from it in one request, which in practice means Shopify and WooCommerce storefronts. These figures therefore describe the storefronts Ottom can read in bulk rather than apparel as a whole. The methodology sets out what that excludes.

## Readiness score

The median of the 60 apparel stores Ottom measured at every stage in the 90 days to 20 October 2026 scored 97 out of 100, and a quarter of them scored 92 or below.

| Lower quartile | Median | Upper quartile |
| --- | --- | --- |
| 92 | 97 | 97 |

## Where agents stall

Of the 60 apparel stores Ottom measured at every stage, 78% scored 80 or better at the discover stage, against 95% at the compare stage.

| Stage | Median score | Stores passing | Stores measured |
| --- | --- | --- | --- |
| Discover | 100 | 78% | 60 |
| Evaluate | 88 | 85% | 60 |
| Compare | 100 | 95% | 60 |
| Buy | 100 | 93% | 60 |

## Reaching the payment step

93% of the 60 apparel stores Ottom measured let an AI shopping agent reach the payment step. Ottom stops there and never submits payment.

## What stops them

The most common stall on apparel stores is products have no GTIN or MPN to match against, found on 66% of the 64 stores Ottom scanned in the category in the 90 days to 20 October 2026.

| Stall | Stage | Severity | Share of stores |
| --- | --- | --- | --- |
| Products have no GTIN or MPN to match against | Evaluate | medium | 66% |
| No sitemap for agents to crawl | Discover | high | 14% |
| Variants are not described in structured data | Evaluate | high | 14% |

7 further stalls were found in this category but withheld, because too few stores showed them to report a share without pointing at an individual store.

## Citing this benchmark

Ottom, Apparel agentic commerce benchmark v2.0.8, 22 July 2026 to 20 October 2026, methodology bench-v5. https://ottom.io/benchmarks/apparel/v2.0.8. Licensed CC BY 4.0.

The same figures as JSON: https://ottom.io/benchmarks/apparel/data.json

## Previous versions

- v2.0.7, issued 2026-10-16: https://ottom.io/benchmarks/apparel/v2.0.7
- v2.0.6, issued 2026-10-12: https://ottom.io/benchmarks/apparel/v2.0.6
- v2.0.5, issued 2026-10-10: https://ottom.io/benchmarks/apparel/v2.0.5
- v2.0.4, issued 2026-10-09: https://ottom.io/benchmarks/apparel/v2.0.4
- v2.0.3, issued 2026-10-05: https://ottom.io/benchmarks/apparel/v2.0.3
- v2.0.2, issued 2026-10-01: https://ottom.io/benchmarks/apparel/v2.0.2
- v2.0.1, issued 2026-09-30: https://ottom.io/benchmarks/apparel/v2.0.1
- v2.0.0, issued 2026-09-29: https://ottom.io/benchmarks/apparel/v2.0.0
- v1.0.1, issued 2026-09-25: https://ottom.io/benchmarks/apparel/v1.0.1
- v1.0.0, issued 2026-09-24: https://ottom.io/benchmarks/apparel/v1.0.0