Overview Leaderboard Methodology
Industry Report

Headless Commerce Providers

Platforms and services that decouple frontend presentation from backend commerce functionality, offering APIs and microservices for flexible omnichannel storefronts.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
commercetools
93/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
BigCommerce
85

Highest score on the LBA metric.

Authority Leader?
commercetools
97

Highest score on the Authority metric.

TOM Leader?
commercetools
100

Highest score on the TOM metric.

commercetools is the default answer in AI responses for Headless Commerce Providers

When users ask ChatGPT, Claude, or Gemini about Headless Commerce Providers, commercetools is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. BigCommerce is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 35 Headless Commerce Providers brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
commercetools
commercetools.com
 84
97
100
93
2
BigCommerce
bigcommerce.com
 85
70
89
81
3
Adobe
adobe.com
 81
30
64
54
4
Salesforce
salesforce.com
 84
18
48
42
5
Elastic Path
elasticpath.com
 68
14
70
41
6
VTEX
vtex.com
 69
12
48
34
7
Saleor
saleor.io
 73
5
12
16
8
Medusa
medusajs.com
 53
6
8
14
9
Commerce Layer
commercelayer.io
 66
1
14
11
10
fabric
fabric.inc
 67
1
26
10
11
Contentful
contentful.com
 80
1
7
7
12
Bloomreach
bloomreach.com
 66
2
2
6
13
Spryker
spryker.com
 74
0
37
3
14
Centra
centra.com
 64
0
14
2
15
OroCommerce
oroinc.com
 67
0
10
2
16
SAP
sap.com
 77
0
15
2
17
Shopware
shopware.com
 70
0
6
2
18
Front-Commerce
front-commerce.com
 33
0
1
1
19
Kibo Commerce
kibocommerce.com
 55
0
1
1
20
Nacelle
nacelle.com
 47
0
3
1
21
Sanity
sanity.io
 76
0
4
1
22
Snipcart
snipcart.com
 70
0
1
1
23
Swell
swell.is
 51
0
1
1
24
Alokai
alokai.com
 61
0
0
0
25
Bold Commerce
boldcommerce.com
 62
0
0
0
26
Commerce.js
commercejs.com
 55
0
0
0
27
Crystallize
crystallize.com
 54
0
0
0
28
Emporix
emporix.com
 30
0
0
0
29
Foxy
foxy.io
 36
0
0
0
30
Norce
norce.io
 28
0
0
0
31
ScandiPWA
scandipwa.com
 48
0
0
0
32
SCAYLE
scayle.com
 51
0
0
0
33
Shogun
shogun.com
 65
0
0
0
34
Shopify Tax
shopify.com
 58
0
0
0
35
Znode
znode.com
 42
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Headless Commerce Providers prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 275 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →