Overview Leaderboard Methodology
Industry Report

Spend Management Suites

Integrated platforms combining corporate cards, procurement controls, budgeting, and analytics to manage company spending end-to-end.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
Ramp
94/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Ramp
87

Highest score on the LBA metric in this industry.

Authority Leader?
Ramp
97

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 Spend Management Suites

When users ask ChatGPT, Claude, or Gemini about Spend Management Suites, Ramp is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Brex 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 35 Spend Management Suites 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
 87
97
100
94
2
Brex
brex.com
 84
70
89
81
3
Coupa
coupa.com
 74
37
81
61
4
Airbase
airbase.com
 60
41
81
59
5
BILL
bill.com
 74
37
55
54
6
SAP Concur
concur.com
 77
17
62
44
7
Spendesk
spendesk.com
 67
13
33
31
8
SAP Ariba
ariba.com
 75
7
27
27
9
Tipalti
tipalti.com
 75
7
29
27
10
Navan
navan.com
 72
7
27
26
11
Zoho
zoho.com
 79
8
21
25
12
Expensify
expensify.com
 73
7
13
21
13
NetSuite CRM
netsuite.com
 70
7
12
20
14
Payhawk
payhawk.com
 68
7
13
20
15
Pleo
pleo.io
 70
7
11
20
16
Divvy
getdivvy.com
 75
8
8
18
17
Emburse
emburse.com
 62
6
11
18
18
Zip
ziphq.com
 54
5
12
17
19
Procurify
procurify.com
 63
6
6
16
20
Mesh Payments
meshpayments.com
 59
6
6
15
21
Soldo
soldo.com
 59
6
6
15
22
Bento for Business
bentoforbusiness.com
 55
5
5
14
23
Happay
happay.com
 58
6
6
14
24
Yokoy
yokoy.ai
 57
6
6
14
25
Rho
rho.co
 51
5
5
13
26
Teampay
teampay.co
 50
5
5
13
27
Mooncard
mooncard.co
 49
5
5
12
28
Moss
getmoss.com
 49
5
5
12
29
Jeeves
tryjeeves.com
 45
4
4
11
30
Volopay
volopay.com
 43
4
4
11
31
Alaan
alaan.com
 36
4
4
10
32
Center
centerexpense.com
 39
4
4
10
33
PayEm
payem.co
 35
3
3
9
34
Qashio
qashio.com
 26
3
3
7
35
Weel
weel.com.au
 22
2
2
6

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Spend Management Suites 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 275 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 →