Overview Leaderboard Methodology
Industry Report

Merchant Acquirers

Financial institutions and companies that process card payments on behalf of merchants and settle funds into merchants' bank accounts.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
Stripe Billing
88/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Adyen
88

Highest score on the LBA metric in this industry.

Authority Leader?
Stripe Billing
85

Highest score on the Authority metric in this industry.

TOM Leader?
Stripe Billing
98

Highest score on the TOM metric in this industry.

Stripe Billing is the default answer in AI responses for Merchant Acquirers

When users ask ChatGPT, Claude, or Gemini about Merchant Acquirers, Stripe Billing is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Adyen 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 Merchant Acquirers 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
Stripe Billing
stripe.com
 81
85
98
88
2
Adyen
adyen.com
 88
45
92
72
3
Worldpay
worldpay.com
 79
34
88
62
4
Square Appointments
squareup.com
 75
49
47
56
5
Fiserv
fiserv.com
 72
22
83
52
6
PayPal Invoicing
paypal.com
 74
25
38
42
7
Chase Payment Solutions
chase.com
 63
15
64
41
8
Checkout.com
checkout.com
 74
15
52
40
9
Elavon
elavon.com
 64
9
70
36
10
Global Payments
globalpayments.com
 70
7
70
36
11
Clover
clover.com
 73
7
42
31
12
Braintree
braintreepayments.com
 82
8
32
30
13
Chase Merchant Services
chasemerchantservices.com
 68
7
32
27
14
TSYS
tsys.com
 61
6
19
21
15
Barclaycard Payments
barclaycard.co.uk
 67
7
13
20
16
Helcim
helcim.com
 71
11
7
20
17
Nexi
nexigroup.com
 51
5
23
20
18
Mercado Pago
mercadopago.com
 78
8
8
19
19
Chase Paymentech
paymentech.com
 61
6
11
18
20
SumUp
sumup.com
 73
7
7
18
21
Moneris
moneris.com
 67
7
7
17
22
Nuvei
nuvei.com
 59
6
10
17
23
PagSeguro
pagseguro.uol.com.br
 69
7
7
17
24
PayU
payu.com
 68
7
7
17
25
Shift4
shift4.com
 71
7
7
17
26
Worldline
worldline.com
 58
6
11
17
27
Zettle
zettle.com
 68
7
7
17
28
N
Nets
nets.eu
 67
7
7
16
29
Stone
stone.com.br
 63
6
6
16
30
Cielo
cielo.com.br
 60
6
6
15
31
Network International
network.ae
 58
6
6
15
32
AIB Merchant Services
aibms.com
 53
5
5
13
33
Bambora
bambora.com
 52
5
5
13
34
PayTrace
paytrace.com
 53
5
5
13
35
L
Lloyds Cardnet
lloydsbankcardnet.com
 47
5
5
12
36
EVO Payments
evopayments.com
 43
4
4
11

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared Merchant Acquirers 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 →