Benchmarks / All stores / v2.0.1

Agentic commerce benchmark across all stores v2.0.1

An AI shopping agent reached the payment step on 2% of the 251 stores Ottom measured at every stage in the 90 days to 30 September 2026, in every category and including stores whose category could not be determined, and the median agentic readiness score was 55 out of 100. Cite

This benchmark pools every store Ottom has scanned, across all categories, including stores whose category could not be determined. Each store is counted once, whichever category it is in. It is counted under exactly the rules each category is, set out in the methodology.

n = 251 measured of 254 scanned · 2 July 2026 to 30 September 2026 · v2.0.1 · bench-v5 · methodology

Scores come from the 251 stores Ottom measured at every stage. A further 3 were scanned but stopped before checkout, usually at bot protection or a robots.txt rule, so they have no comparable score. All 254 are still counted in the stalls below, because what was found on a store does not depend on how it was scored.

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 online retail as a whole. The methodology sets out what that excludes.

Reaching the payment step

2% of the 251 stores Ottom measured let an AI shopping agent reach the payment step. Ottom stops there and never submits payment. Cite

Where agents stall

Of the 251 stores Ottom measured at every stage, 2% scored 80 or better at the buy stage, against 91% at the compare stage. Cite

Each stage of the journey, and the share of stores whose score at that stage was 80 or better.

What stops them

The most common stall across all stores is products have no GTIN or MPN to match against, found on 66% of the 254 stores Ottom scanned in the 90 days to 30 September 2026. Cite

The most common stalls across all stores, as a share of all 254 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 pattern.

What to change first

• No product identifier

  Populate the barcode field (GTIN, EAN or UPC) on each variant, which most platforms already have a field for.

• 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 sitemap

  Publish /sitemap.xml covering product, collection and policy URLs. Most platforms generate this for you once it is enabled.

4 further stalls were found but withheld: too few stores showed them to report a share without pointing at an individual store.

Readiness score

The median of the 251 stores Ottom measured at every stage in the 90 days to 30 September 2026 scored 55 out of 100, and a quarter of them scored 52 or below. Cite

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.

Source: Ottom, <a href="https://ottom.io/benchmarks/all">Agentic commerce benchmark across all stores v2.0.1</a>, 2 July 2026 to 30 September 2026, methodology bench-v5. Licensed under <a href="https://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0</a>.