Overview Leaderboard Methodology
Industry Report

Self-Hosted Ecommerce Platforms

Open-source or downloadable software that merchants install and run on their own servers or chosen hosting providers to fully control and customize their online stores.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
WooCommerce
89/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
BigCommerce
90

Highest score on the LBA metric in this industry.

Authority Leader?
WooCommerce
88

Highest score on the Authority metric in this industry.

TOM Leader?
WooCommerce
100

Highest score on the TOM metric in this industry.

WooCommerce is the default answer in AI responses for Self-Hosted Ecommerce Platforms

When users ask ChatGPT, Claude, or Gemini about Self-Hosted Ecommerce Platforms, WooCommerce is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Magento 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 36 Self-Hosted Ecommerce Platforms brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
WooCommerce
woocommerce.com
 80
88
100
89
2
Magento
magento.com
 85
40
85
67
3
PrestaShop
prestashop.com
 65
35
87
58
4
Adobe
adobe.com
 87
39
34
49
5
Shopware
shopware.com
 74
20
69
48
6
Saleor
saleor.io
 70
15
56
40
7
OpenCart
opencart.com
 73
9
62
37
8
Sylius
sylius.com
 74
7
48
32
9
Medusa
medusajs.com
 59
11
40
31
10
WordPress
wordpress.org
 82
14
11
25
11
nopCommerce
nopcommerce.com
 75
8
19
24
12
BigCommerce
bigcommerce.com
 90
9
9
22
13
Shopify Tax
shopify.com
 62
22
6
22
14
Spree Commerce
spreecommerce.org
 65
6
16
21
15
Solidus
solidus.io
 78
8
8
19
16
Cloudways
cloudways.com
 74
7
8
18
17
Drupal Commerce
drupalcommerce.org
 73
7
8
18
18
OroCommerce
oroinc.com
 75
8
8
18
19
SiteGround
siteground.com
 74
7
8
18
20
Bagisto
bagisto.com
 63
6
6
16
21
CS-Cart
cs-cart.com
 65
7
7
16
22
Spryker
spryker.com
 66
7
7
16
23
Vendure
vendure.io
 67
7
7
16
24
X-Cart
x-cart.com
 63
6
6
16
25
JTL
jtl-software.com
 58
6
6
15
26
osCommerce
oscommerce.com
 60
6
6
15
27
OXID eShop
oxid-esales.com
 62
6
6
15
28
VirtueMart
virtuemart.net
 59
6
6
15
29
Zen Cart
zencart.com
 60
6
6
15
30
HikaShop
hikashop.com
 56
6
6
14
31
Shop-Script
shopscript.com
 55
6
6
14
32
thirty bees
thirtybees.com
 57
6
6
14
33
AbanteCart
abantecart.com
 49
5
5
13
34
Broadleaf Commerce
broadleafcommerce.com
 51
5
5
13
35
CubeCart
cubecart.com
 48
5
5
12
36
Modified eCommerce
modified-shop.org
 13
1
1
4

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared Self-Hosted Ecommerce Platforms 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
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 281 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 →