Overview Leaderboard Methodology
Industry Report

Corporate Card Providers

Issuers and managers of corporate and virtual cards designed for employee spending control, spend policies, and real-time transaction tracking.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Ramp
97/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
American Express
92

Highest score on the LBA metric.

Authority Leader?
Ramp
100

Highest score on the Authority metric.

TOM Leader?
Ramp
100

Highest score on the TOM metric.

Ramp is the default answer in AI responses for Corporate Card Providers

Ramp and Brex together dominate AI responses for Corporate Card Providers. 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 37 Corporate Card 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
Ramp
ramp.com
 90
100
100
97
2
Brex
brex.com
 84
97
100
93
3
BILL
bill.com
 74
48
67
62
4
Airbase
airbase.com
 69
43
61
57
5
American Express
americanexpress.com
 92
18
81
51
6
Divvy
getdivvy.com
 71
7
36
26
7
Navan
navan.com
 61
5
12
15
8
Pleo
pleo.io
 76
4
11
15
9
Airwallex
airwallex.com
 78
4
3
10
10
Spendesk
spendesk.com
 70
2
8
10
11
Expensify
expensify.com
 68
2
1
4
12
Soldo
soldo.com
 51
1
1
4
13
Capital One
capitalone.com
 83
0
18
2
14
Rho
rho.co
 57
0
13
2
15
Bento for Business
bentoforbusiness.com
 50
0
6
1
16
Emburse
emburse.com
 56
0
1
1
17
Mesh Payments
meshpayments.com
 57
0
1
1
18
Moss
getmoss.com
 62
0
1
1
19
Payhawk
payhawk.com
 74
0
2
1
20
Wallester
wallester.com
 33
0
1
1
21
Capital on Tap
capitalontap.com
 54
0
0
0
22
Centre
getcentre.com
 16
0
0
0
23
Chase Payment Solutions
chase.com
 49
0
0
0
24
Clara
clara.com
 45
0
0
0
25
Corpay
corpay.com
 63
0
0
0
26
Equals Money
equalsmoney.com
 36
0
0
0
27
Extend
extend.com
 61
0
0
0
28
Float
floatcard.com
 47
0
0
0
29
J.P. Morgan Wealth Management
jpmorgan.com
 47
0
0
0
30
Jeeves
tryjeeves.com
 56
0
0
0
31
Qonto
qonto.com
 71
0
0
0
32
SAP Concur
concur.com
 77
0
0
0
33
Stripe Billing
stripe.com
 84
0
0
0
34
Teampay
teampay.co
 49
0
0
0
35
T
Tribal
tribal.credit
 43
0
0
0
36
Volopa
volopa.com
 31
0
0
0
37
WEX
wexinc.com
 65
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Corporate Card 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 →