Benchmarks / Food and drink / v2.0.0
Food and drink agentic commerce benchmark v2.0.0
This is version v2.0.0, issued 29 September 2026. The current version is v2.0.4.
Across 30 food and drink stores Ottom measured at every stage in the 90 days to 29 September 2026, the median agentic readiness score was 57 out of 100. 3% of them let an AI shopping agent reach the payment step.
n = 30 of 30 stores · 1 July 2026 to 29 September 2026 · v2.0.0 · bench-v5 · 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 food and drink as a whole. The methodology sets out what that excludes.
Readiness score
The median of the 30 food and drink stores Ottom measured at every stage in the 90 days to 29 September 2026 scored 57 out of 100, and a quarter of them scored 52 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 30 food and drink stores Ottom measured at every stage, 3% scored 80 or better at the buy stage, against 90% at the compare stage.
Each stage of the journey, and the share of food and drink stores whose score at that stage was 80 or better.
| Stage | Median score | Stores passing | Stores measured |
|---|---|---|---|
| Discover | 100 | 70% | 30 |
| Evaluate | 88 | 83% | 30 |
| Compare | 100 | 90% | 30 |
| Buy | 0 | 3% | 30 |
Reaching the payment step
3% of the 30 food and drink 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 food and drink stores is products have no GTIN or MPN to match against, found on 87% of the 30 stores Ottom scanned in the category in the 90 days to 29 September 2026.
The most common stalls in this category, as a share of all 30 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 sitemap30%
- No product identifier87%
- Variants undescribed17%
None common
- Hover only variant picker43%
- Add to cart needs JavaScript27%
| Stall | Stage | Severity | Share of stores |
|---|---|---|---|
| Products have no GTIN or MPN to match againstEvaluate | Evaluate | Medium | |
| Size or colour can only be chosen by hoveringBuy | Buy | High | |
| No sitemap for agents to crawlDiscover | Discover | High | |
| Add to cart needs JavaScript the agent cannot runBuy | Buy | Medium | |
| Variants are not described in structured dataEvaluate | Evaluate | High |
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 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, Food and drink agentic commerce benchmark v2.0.0, 1 July 2026 to 29 September 2026, methodology bench-v5. https://ottom.io/benchmarks/food-and-drink/v2.0.0. Licensed CC BY 4.0.
The same figures as JSON.