Benchmarks / Apparel / v1.0.0
Apparel agentic commerce benchmark v1.0.0
This is version v1.0.0, issued 24 September 2026. The current version is v2.0.8.
Across 60 apparel stores Ottom measured at every stage in the 90 days to 24 September 2026, the median agentic readiness score was 52 out of 100. 3% of them let an AI shopping agent reach the payment step.
n = 60 of 60 stores · 26 June 2026 to 24 September 2026 · v1.0.0 · bench-v4 · 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 24 September 2026 scored 52 out of 100, and a quarter of them scored 46 or below.
The spread of overall readiness scores across the category. We publish quartiles rather than a best and worst store, because the best and the worst are each one identifiable merchant.
Where agents stall
Of the 60 apparel stores Ottom measured at every stage, 3% scored 80 or better at the buy stage, against 93% at the compare stage.
Each stage of the journey, and the share of apparel stores whose score at that stage was 80 or better.
| Stage | Median score | Stores passing | Stores measured |
|---|---|---|---|
| Discover | 75 | 33% | 60 |
| Evaluate | 88 | 85% | 60 |
| Compare | 100 | 93% | 60 |
| Buy | 0 | 3% | 60 |
Reaching the payment step
3% 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 size or colour can only be chosen by hovering, found on 73% of the 60 stores Ottom scanned in the category in the 90 days to 24 September 2026.
The most common stalls in this category, as a share of all 60 stores scanned. A stall found on fewer than 5 stores is withheld, because at that count it points at a merchant rather than at a category.
- No sitemap63%
- Bot wall20%
- No product identifier72%
- Variants undescribed15%
None common
- Hover only variant picker73%
- Popup blocks the flow15%
| Stall | Stage | Severity | Share of stores |
|---|---|---|---|
| Size or colour can only be chosen by hoveringBuy | Buy | High | |
| Products have no GTIN or MPN to match againstEvaluate | Evaluate | Medium | |
| No sitemap for agents to crawlDiscover | Discover | High | |
| Bot protection blocks the agent before the storefront loadsDiscover | Discover | Critical | |
| Variants are not described in structured dataEvaluate | Evaluate | High | |
| A popup blocks the path to the cartBuy | Buy | High |
What to change first
- Hover only variant picker
Make each option a real control: a select, a radio input, or a button that responds to a click and to the keyboard.
- No product identifier
Populate the barcode field (GTIN, EAN or UPC) on each variant, which most platforms already have a field for.
- No sitemap
Publish /sitemap.xml covering product, collection and policy URLs. Most platforms generate this for you once it is enabled.
6 further stalls were found in this category but withheld: too few stores showed them to report a share without pointing at an individual store.
Citing this benchmark
These figures are published under CC BY 4.0. Quote them freely, with this attribution:
Ottom, Apparel agentic commerce benchmark v1.0.0, 26 June 2026 to 24 September 2026, methodology bench-v4. https://ottom.io/benchmarks/apparel/v1.0.0. Licensed CC BY 4.0.
The same figures as JSON.