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 in this industry.

Authority Leader?
Ramp
100

Highest score on the Authority metric in this industry.

TOM Leader?
Ramp
100

Highest score on the TOM metric in this industry.

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 (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
Ramp
ramp.com
 90
100
100
97
2
Brex
brex.com
 84
97
100
93
3
BILL
bill.com
 74
50
71
64
4
American Express
americanexpress.com
 92
25
81
58
5
Airbase
airbase.com
 69
43
61
57
6
Divvy
getdivvy.com
 71
7
36
29
7
Capital One
capitalone.com
 83
8
18
25
8
Pleo
pleo.io
 76
8
11
20
9
Stripe Billing
stripe.com
 84
8
8
20
10
Airwallex
airwallex.com
 78
8
8
19
11
Chase Payment Solutions
chase.com
 49
5
21
19
12
SAP Concur
concur.com
 77
8
8
19
13
Navan
navan.com
 61
6
12
18
14
Payhawk
payhawk.com
 74
7
7
18
15
Rho
rho.co
 57
6
13
18
16
Spendesk
spendesk.com
 70
7
8
18
17
Expensify
expensify.com
 68
7
7
17
18
Qonto
qonto.com
 71
7
7
17
19
Corpay
corpay.com
 63
6
6
16
20
WEX
wexinc.com
 65
6
6
16
21
Extend
extend.com
 61
6
6
15
22
Moss
getmoss.com
 62
6
6
15
23
Capital on Tap
capitalontap.com
 54
5
5
14
24
Emburse
emburse.com
 56
6
6
14
25
Jeeves
tryjeeves.com
 56
6
6
14
26
Mesh Payments
meshpayments.com
 57
6
6
14
27
Bento for Business
bentoforbusiness.com
 50
5
6
13
28
Soldo
soldo.com
 51
5
5
13
29
Clara
clara.com
 45
5
5
12
30
Float
floatcard.com
 47
5
5
12
31
J.P. Morgan Wealth Management
jpmorgan.com
 47
5
5
12
32
Teampay
teampay.co
 49
5
5
12
33
Tribal
tribal.credit
 43
4
4
11
34
Equals Money
equalsmoney.com
 36
4
4
10
35
Wallester
wallester.com
 33
3
3
9
36
Volopa
volopa.com
 31
3
3
8
37
Centre
getcentre.com
 16
2
2
5

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
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 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 →