Overview Leaderboard Methodology
Industry Report

Dropshipping Marketplaces

Platforms that connect retailers with suppliers offering products for dropship fulfillment, often providing product catalogs, supplier vetting, and order routing.

Brands tracked: 39
Brands analyzed: 39
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 299
Total responses: 1,540
Top Brand Overall?
Spocket
73/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Amazon
87

Highest score on the LBA metric in this industry.

Authority Leader?
Spocket
69

Highest score on the Authority metric in this industry.

TOM Leader?
Alibaba
100

Highest score on the TOM metric in this industry.

Spocket leads the Dropshipping Marketplaces category in AI responses

Spocket is the most consistently-surfaced brand when users ask AI assistants about Dropshipping Marketplaces, but not to the point of monopolising the conversation. Alibaba and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 39 Dropshipping Marketplaces 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
Spocket
spocket.co
 62
69
90
73
2
Alibaba
alibaba.com
 74
39
100
66
3
AliExpress
aliexpress.com
 71
31
100
61
4
CJDropshipping
cjdropshipping.com
 61
39
89
60
5
Zendrop
zendrop.com
 65
30
79
54
6
DSers
dsers.com
 68
23
81
51
7
Modalyst
modalyst.co
 64
25
46
42
8
SaleHoo
salehoo.com
 71
12
69
41
9
Shopify Tax
shopify.com
 63
19
21
30
10
Syncee
syncee.co
 64
23
16
29
11
AutoDS
autods.com
 73
7
34
28
12
Printful
printful.com
 78
11
12
23
13
Amazon
amazon.com
 87
11
9
22
14
Printify
printify.com
 73
7
10
20
15
WooCommerce
woocommerce.com
 82
8
8
20
16
eBay
ebay.com
 79
8
8
19
17
Faire
faire.com
 74
7
7
18
18
DHgate
dhgate.com
 60
6
10
17
19
Worldwide Brands
worldwidebrands.com
 53
5
13
17
20
Inventory Source
inventorysource.com
 65
7
7
16
21
BigBuy
bigbuy.eu
 60
6
6
15
22
Trendsi
trendsi.com
 56
6
6
14
23
Wholesale2B
wholesale2b.com
 46
5
9
14
24
EPROLO
eprolo.com
 50
5
5
13
25
Doba
doba.com
 44
4
6
12
26
Dripshipper
dripshipper.io
 42
4
4
11
27
AppScenic
appscenic.com
 37
4
4
10
28
Avasam
avasam.com
 40
4
4
10
29
DropCommerce
dropcommerce.com
 38
4
4
10
30
GreenDropShip
greendropship.com
 38
4
4
10
31
HyperSKU
hypersku.com
 38
4
4
10
32
Supliful
supliful.com
 36
4
4
10
33
Wholesale Central
wholesalecentral.com
 36
4
4
9
34
BrandsGateway
brandsgateway.com
 29
3
3
8
35
TopDawg
topdawg.com
 25
2
2
7
36
Megagoods
megagoods.com
 21
2
2
6
37
Yakkyofy
yakkyofy.com
 15
2
2
5
38
Jubilee
jubilee.beauty
 2
0
0
1
39
FondMart
fondmart.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 299 shared Dropshipping Marketplaces 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 →