Overview Leaderboard Methodology
Industry Report

Marketplace SaaS Platforms

Software-as-a-service solutions that enable businesses to launch and manage multi-vendor marketplaces with vendor onboarding, commission management, and transaction handling.

Brands tracked: 39
Brands analyzed: 39
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 299
Total responses: 1,540
Top Brand Overall?
Sharetribe
88/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Stripe Billing
89

Highest score on the LBA metric in this industry.

Authority Leader?
Sharetribe
98

Highest score on the Authority metric in this industry.

TOM Leader?
Sharetribe
100

Highest score on the TOM metric in this industry.

Sharetribe is the default answer in AI responses for Marketplace SaaS Platforms

Sharetribe and Mirakl together dominate AI responses for Marketplace SaaS Platforms. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 39 Marketplace SaaS 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
Sharetribe
sharetribe.com
 69
98
100
88
2
Mirakl
mirakl.com
 73
75
95
81
3
Arcadier
arcadier.com
 47
44
81
55
4
CS-Cart Multi-Vendor
cscart.com
 72
30
57
50
5
CS-Cart
cs-cart.com
 59
34
57
49
6
Marketplacer
marketplacer.com
 42
26
42
36
7
Shopify Tax
shopify.com
 69
7
32
27
8
Adobe
adobe.com
 85
9
17
25
9
Yo!Kart
yokart.com
 59
6
28
23
10
Webkul
webkul.com
 55
6
25
22
11
Airtable
airtable.com
 86
9
9
21
12
Bubble
bubble.io
 87
9
9
21
13
Stripe Billing
stripe.com
 89
9
9
21
14
WooCommerce
woocommerce.com
 83
8
8
20
15
Dokan
dokan.co
 71
7
11
19
16
VTEX
vtex.com
 74
7
8
19
17
CedCommerce
cedcommerce.com
 58
6
6
15
18
Spryker
spryker.com
 62
6
6
15
19
WCFM Marketplace
wclovers.com
 60
6
6
15
20
StoreHippo
storehippo.com
 51
5
5
13
21
IZBERG
izberg-marketplace.com
 36
4
4
10
22
Kreezalid
kreezalid.com
 33
3
6
10
23
Wizaplace
wizaplace.com
 37
4
4
10
24
MarketTime
markettime.com
 34
3
3
9
25
Onport
onport.com
 34
3
3
9
26
Shipturtle
shipturtle.com
 23
2
9
9
27
Nautical Commerce
nauticalcommerce.com
 29
3
3
8
28
Spurtcommerce
spurtcommerce.com
 31
3
3
8
29
Uppler
uppler.com
 29
3
3
8
30
Tradly
tradly.app
 26
3
3
7
31
Vnecoms
vnecoms.com
 25
2
2
7
32
Yelo
yelo.io
 18
2
7
7
33
Apptha
apptha.com
 22
2
2
6
34
MultiMerch
multimerch.com
 22
2
2
6
35
Omnyfy
omnyfy.com
 21
2
2
6
36
Cocorico
cocorico.io
 10
1
1
3
37
MarketplaceKit
marketplacekit.com
 0
0
1
0
38
O
Origami Marketplace
origamimarketplace.com
 1
0
0
0
39
Retaxis
retaxis.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 299 shared Marketplace SaaS 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 299 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 →