Benchmarks / Monthly reports / October 2026
Agentic commerce benchmark report: October 2026
The October 2026 agentic commerce benchmark report is Ottom's monthly summary of how AI shopping agents fared when they tried to discover, evaluate, compare and buy on online stores, by retail category. An AI shopping agent reached the payment step on 80% of the 347 stores scanned, and on 87% of the 318 measured at every stage.
The month in brief
This issue is not compared with September. In September our agent reached the payment step on 4% of stores measured at every stage. In October a new agent reached it on 87% of the same kind of stores. Most of the difference from September is our measurement, not the stores: on 250 stores measured by both agents, 207 went from stalled to passed in 17 days and none went the other way. October is the first issue measured by the new agent, so it starts a new series.
- An AI shopping agent reached the payment step on 80% of the 347 stores Ottom scanned, counting stores that blocked it or stopped it early as not reached, and on 87% of the 318 measured at every stage. # Cite
- The most widespread stall was "Products have no GTIN or MPN to match against", found on 63% of stores scanned. # Cite
- The median agentic readiness score across 318 stores measured at every stage was 97 out of 100. # Cite
All stores
An AI shopping agent reached the payment step on 80% of the 347 stores Ottom scanned from 3 August 2026 to 1 November 2026, and on 87% of the 318 measured at every stage. Their median agentic readiness score was 97 out of 100, with the middle half of stores between 93 and 97. Cite
Most stores score near the top: three quarters score 93 or more, and the middle store scores 97. Reaching the payment step is worth 40 of the 100 points, and a store where the agent did not reach it can earn at most 18 of those 40. So the score separates the stores an agent can buy from from the stores it cannot, and does not separate stores within each group by much.
| Compared with | Median score | Reaching payment |
|---|---|---|
| 30 days earlier | Not comparable: a different agent measured the stores then, so the figures are not comparable. | |
| 3 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 6 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 12 months earlier | Not comparable: there is not yet enough published history to compare. | |
Most widespread stalls
- Products have no GTIN or MPN to match against: found on 63% of stores scanned.
- Variants are not described in structured data: found on 12% of stores scanned.
- Product pages have no schema.org markup: found on 8% of stores scanned.
The live all stores benchmark, with its trend.
Apparel
An AI shopping agent reached the payment step on 88% of the 64 apparel stores Ottom scanned from 3 August 2026 to 1 November 2026, and on 93% of the 60 measured at every stage. Their median agentic readiness score was 97 out of 100, with the middle half of stores between 92 and 97. Cite
Most stores score near the top: three quarters score 92 or more, and the middle store scores 97. Reaching the payment step is worth 40 of the 100 points, and a store where the agent did not reach it can earn at most 18 of those 40. So the score separates the stores an agent can buy from from the stores it cannot, and does not separate stores within each group by much.
| Compared with | Median score | Reaching payment |
|---|---|---|
| 30 days earlier | Not comparable: a different agent measured the stores then, so the figures are not comparable. | |
| 3 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 6 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 12 months earlier | Not comparable: there is not yet enough published history to compare. | |
Most widespread stalls
- Products have no GTIN or MPN to match against: found on 66% of stores scanned.
- No sitemap for agents to crawl: found on 14% of stores scanned.
- Variants are not described in structured data: found on 14% of stores scanned.
The live apparel benchmark, with its trend.
Beauty and personal care
An AI shopping agent reached the payment step on 87% of the 30 beauty and personal care stores Ottom scanned from 3 August 2026 to 1 November 2026, and on 90% of the 29 measured at every stage. Their median agentic readiness score was 97 out of 100, with the middle half of stores between 94 and 100. Cite
Most stores score near the top: three quarters score 94 or more, and the middle store scores 97. Reaching the payment step is worth 40 of the 100 points, and a store where the agent did not reach it can earn at most 18 of those 40. So the score separates the stores an agent can buy from from the stores it cannot, and does not separate stores within each group by much.
| Compared with | Median score | Reaching payment |
|---|---|---|
| 30 days earlier | Not comparable: a different agent measured the stores then, so the figures are not comparable. | |
| 3 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 6 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 12 months earlier | Not comparable: there is not yet enough published history to compare. | |
Most widespread stalls
- Products have no GTIN or MPN to match against: found on 50% of stores scanned.
- No sitemap for agents to crawl: found on 17% of stores scanned.
The live beauty and personal care benchmark, with its trend.
Electronics
An AI shopping agent reached the payment step on 75% of the 28 electronics stores Ottom scanned from 3 August 2026 to 1 November 2026, and on 91% of the 23 measured at every stage. Their median agentic readiness score was 97 out of 100, with the middle half of stores between 96 and 97. Cite
Most stores score near the top: three quarters score 96 or more, and the middle store scores 97. Reaching the payment step is worth 40 of the 100 points, and a store where the agent did not reach it can earn at most 18 of those 40. So the score separates the stores an agent can buy from from the stores it cannot, and does not separate stores within each group by much.
| Compared with | Median score | Reaching payment |
|---|---|---|
| 30 days earlier | Not comparable: there is not yet enough published history to compare. | |
| 3 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 6 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 12 months earlier | Not comparable: there is not yet enough published history to compare. | |
Most widespread stalls
- Products have no GTIN or MPN to match against: found on 64% of stores scanned.
The live electronics benchmark, with its trend.
Food and drink
An AI shopping agent reached the payment step on 81% of the 31 food and drink stores Ottom scanned from 3 August 2026 to 1 November 2026, and on 81% of the 31 measured at every stage. Their median agentic readiness score was 97 out of 100, with the middle half of stores between 91 and 97. Cite
Most stores score near the top: three quarters score 91 or more, and the middle store scores 97. Reaching the payment step is worth 40 of the 100 points, and a store where the agent did not reach it can earn at most 18 of those 40. So the score separates the stores an agent can buy from from the stores it cannot, and does not separate stores within each group by much.
| Compared with | Median score | Reaching payment |
|---|---|---|
| 30 days earlier | Not comparable: a different agent measured the stores then, so the figures are not comparable. | |
| 3 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 6 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 12 months earlier | Not comparable: there is not yet enough published history to compare. | |
Most widespread stalls
- Products have no GTIN or MPN to match against: found on 87% of stores scanned.
- Variants are not described in structured data: found on 16% of stores scanned.
The live food and drink benchmark, with its trend.
Health and wellness
An AI shopping agent reached the payment step on 79% of the 28 health and wellness stores Ottom scanned from 3 August 2026 to 1 November 2026, and on 81% of the 27 measured at every stage. Their median agentic readiness score was 97 out of 100, with the middle half of stores between 91 and 97. Cite
Most stores score near the top: three quarters score 91 or more, and the middle store scores 97. Reaching the payment step is worth 40 of the 100 points, and a store where the agent did not reach it can earn at most 18 of those 40. So the score separates the stores an agent can buy from from the stores it cannot, and does not separate stores within each group by much.
| Compared with | Median score | Reaching payment |
|---|---|---|
| 30 days earlier | Not comparable: a different agent measured the stores then, so the figures are not comparable. | |
| 3 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 6 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 12 months earlier | Not comparable: there is not yet enough published history to compare. | |
Most widespread stalls
- Products have no GTIN or MPN to match against: found on 57% of stores scanned.
- Variants are not described in structured data: found on 18% of stores scanned.
The live health and wellness benchmark, with its trend.
Home and furniture
An AI shopping agent reached the payment step on 93% of the 30 home and furniture stores Ottom scanned from 3 August 2026 to 1 November 2026, and on 93% of the 30 measured at every stage. Their median agentic readiness score was 97 out of 100, with the middle half of stores between 95 and 97. Cite
Most stores score near the top: three quarters score 95 or more, and the middle store scores 97. Reaching the payment step is worth 40 of the 100 points, and a store where the agent did not reach it can earn at most 18 of those 40. So the score separates the stores an agent can buy from from the stores it cannot, and does not separate stores within each group by much.
| Compared with | Median score | Reaching payment |
|---|---|---|
| 30 days earlier | Not comparable: a different agent measured the stores then, so the figures are not comparable. | |
| 3 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 6 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 12 months earlier | Not comparable: there is not yet enough published history to compare. | |
Most widespread stalls
- Products have no GTIN or MPN to match against: found on 67% of stores scanned.
The live home and furniture benchmark, with its trend.
Jewellery and accessories
An AI shopping agent reached the payment step on 94% of the 34 jewellery and accessories stores Ottom scanned from 3 August 2026 to 1 November 2026, and on 94% of the 34 measured at every stage. Their median agentic readiness score was 97 out of 100, with the middle half of stores between 93 and 97. Cite
Most stores score near the top: three quarters score 93 or more, and the middle store scores 97. Reaching the payment step is worth 40 of the 100 points, and a store where the agent did not reach it can earn at most 18 of those 40. So the score separates the stores an agent can buy from from the stores it cannot, and does not separate stores within each group by much.
| Compared with | Median score | Reaching payment |
|---|---|---|
| 30 days earlier | Not comparable: a different agent measured the stores then, so the figures are not comparable. | |
| 3 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 6 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 12 months earlier | Not comparable: there is not yet enough published history to compare. | |
Most widespread stalls
- Products have no GTIN or MPN to match against: found on 65% of stores scanned.
- Product pages have no schema.org markup: found on 15% of stores scanned.
The live jewellery and accessories benchmark, with its trend.
Outdoor and sports
An AI shopping agent reached the payment step on 74% of the 35 outdoor and sports stores Ottom scanned from 3 August 2026 to 1 November 2026, and on 87% of the 30 measured at every stage. Their median agentic readiness score was 97 out of 100, with the middle half of stores between 92 and 97. Cite
Most stores score near the top: three quarters score 92 or more, and the middle store scores 97. Reaching the payment step is worth 40 of the 100 points, and a store where the agent did not reach it can earn at most 18 of those 40. So the score separates the stores an agent can buy from from the stores it cannot, and does not separate stores within each group by much.
| Compared with | Median score | Reaching payment |
|---|---|---|
| 30 days earlier | Not comparable: there is not yet enough published history to compare. | |
| 3 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 6 months earlier | Not comparable: there is not yet enough published history to compare. | |
| 12 months earlier | Not comparable: there is not yet enough published history to compare. | |
Most widespread stalls
- Products have no GTIN or MPN to match against: found on 69% of stores scanned.
- Product pages have no schema.org markup: found on 14% of stores scanned.
- Shipping cost cannot be determined before checkout: found on 14% of stores scanned.
The live outdoor and sports benchmark, with its trend.
Comparisons over 30 days, 3 months, 6 months, 12 months are not in this issue: there is not yet enough published history under the current methodology and agent to compare against.
How to cite this report
These figures are published under CC BY 4.0. Quote them, chart them and reuse them, commercial use included. Credit Ottom and link to this page, as below.
Suggested citation
Ottom, Agentic commerce benchmark report: October 2026, published 3 November 2026. https://ottom.io/benchmarks/reports/2026-10. Licensed CC BY 4.0.
As HTML, for a web page
Source: Ottom, <a href="https://ottom.io/benchmarks/reports/2026-10">Agentic commerce benchmark report: October 2026</a>, published 3 November 2026. Licensed under <a href="https://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0</a>.Cite one figure
Each figure has its own link, so a quote can point at the sentence it came from.
- Headline 1https://ottom.io/benchmarks/reports/2026-10#headline-1
- Headline 2https://ottom.io/benchmarks/reports/2026-10#headline-2
- Headline 3https://ottom.io/benchmarks/reports/2026-10#headline-3
- All storeshttps://ottom.io/benchmarks/reports/2026-10#all-median
- Apparelhttps://ottom.io/benchmarks/reports/2026-10#apparel-median
- Beauty and personal carehttps://ottom.io/benchmarks/reports/2026-10#beauty-median
- Electronicshttps://ottom.io/benchmarks/reports/2026-10#electronics-median
- Food and drinkhttps://ottom.io/benchmarks/reports/2026-10#food-and-drink-median
- Health and wellnesshttps://ottom.io/benchmarks/reports/2026-10#health-and-wellness-median
- Home and furniturehttps://ottom.io/benchmarks/reports/2026-10#home-median
- Jewellery and accessorieshttps://ottom.io/benchmarks/reports/2026-10#jewellery-and-accessories-median
- Outdoor and sportshttps://ottom.io/benchmarks/reports/2026-10#outdoor-and-sports-median
How every figure is measured is on the methodology page.
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