Overview Leaderboard Methodology
Industry Report

Payment Service Providers

Companies that bundle payment processing, merchant accounts, risk management, and value-added services to enable merchants to accept multiple payment methods.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Adyen
65/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Paystack
91

Highest score on the LBA metric.

Authority Leader?
Adyen
34

Highest score on the Authority metric.

TOM Leader?
Adyen
88

Highest score on the TOM metric.

Payment Service Providers has no dominant brand in AI responses

Adyen is the top-ranked brand here, but its overall score of 65 reflects a competitive field rather than a dominant player. AI assistants answer category questions about Payment Service Providers with varied recommendations from query to query - users get a different set of suggestions each time. This is the kind of category where mid-tier brands still have room to move up.

Brand Leaderboard All 37 Payment Service 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
Adyen
adyen.com
 89
34
88
65
2
Braintree
braintreepayments.com
 80
11
80
41
3
Checkout.com
checkout.com
 77
8
73
35
4
Helcim
helcim.com
 70
25
22
34
5
Authorize.Net
authorize.net
 82
6
46
28
6
Worldpay
worldpay.com
 78
1
65
18
7
Clover
clover.com
 75
4
11
15
8
Stax
staxpayments.com
 60
3
10
12
9
Amazon
amazon.com
 86
0
12
2
10
Global Payments
globalpayments.com
 68
0
7
2
11
Klarna
klarna.com
 77
0
10
2
12
Mollie
mollie.com
 73
0
13
2
13
Razorpay
razorpay.com
 84
0
7
2
14
2Checkout
2checkout.com
 69
0
1
1
15
Fiserv
fiserv.com
 71
0
4
1
16
Nexi
nexigroup.com
 55
0
3
1
17
Nuvei
nuvei.com
 65
0
3
1
18
Payoneer
payoneer.com
 76
0
3
1
19
PayU
payu.com
 70
0
1
1
20
Rapyd
rapyd.net
 68
0
3
1
21
Airwallex
airwallex.com
 76
0
0
0
22
Ayen
ayen.com
 0
0
0
0
23
BlueSnap
bluesnap.com
 62
0
0
0
24
Cashfree Payments
cashfree.com
 78
0
0
0
25
dLocal
dlocal.com
 65
0
0
0
26
Flutterwave
flutterwave.com
 72
0
0
0
27
GoCardless
gocardless.com
 70
0
0
0
28
Mercado Pago
mercadopago.com
 80
0
0
0
29
Moneris
moneris.com
 70
0
0
0
30
Network International
network.ae
 58
0
0
0
31
Paddle
paddle.com
 81
0
0
0
32
PayPal Invoicing
paypal.com
 79
0
0
0
33
Paystack
paystack.com
 91
0
0
0
34
Shopify Tax
shopify.com
 58
0
0
0
35
Square Appointments
squareup.com
 85
0
0
0
36
Stripe Billing
stripe.com
 85
0
0
0
37
Telr
telr.com
 47
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Payment Service 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 287 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 →