Overview Leaderboard Methodology
Industry Report

Billing and Accounts Payable Automation

Platforms that automate vendor invoice capture, approval, payment execution, and reconciliation to streamline accounts payable operations.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
BILL
95/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
BILL
86

Highest score on the LBA metric.

Authority Leader?
BILL
100

Highest score on the Authority metric.

TOM Leader?
BILL
100

Highest score on the TOM metric.

BILL is the default answer in AI responses for Billing and Accounts Payable Automation

When users ask ChatGPT, Claude, or Gemini about Billing and Accounts Payable Automation, BILL is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Tipalti 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 Billing and Accounts Payable Automation 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
BILL
bill.com
 86
100
100
95
2
Tipalti
tipalti.com
 74
82
100
85
3
AvidXchange
avidxchange.com
 70
30
84
56
4
Coupa
coupa.com
 69
25
76
50
5
Ramp
ramp.com
 84
32
42
48
6
Melio
melio.com
 63
23
23
32
7
Stampli
stampli.com
 71
14
33
32
8
SAP Ariba
ariba.com
 79
9
37
29
9
SAP Concur
concur.com
 78
7
44
29
10
Basware
basware.com
 73
1
22
13
11
Airbase
airbase.com
 76
2
11
11
12
Medius
medius.com
 58
0
17
6
13
MineralTree
mineraltree.com
 69
0
27
3
14
Yooz
yooz.com
 56
0
30
3
15
Tradeshift
tradeshift.com
 74
0
5
2
16
Beanworks
beanworks.com
 57
0
1
1
17
Bottomline
bottomline.com
 60
0
5
1
18
Quadient
quadient.com
 49
0
1
1
19
Vic.ai
vic.ai
 66
0
2
1
20
Corcentric
corcentric.com
 52
0
0
0
21
DOKKA
dokka.com
 33
0
0
0
22
Esker
esker.com
 73
0
0
0
23
Finofo
finofo.com
 7
0
0
0
24
F
Flowie
flowie.com
 0
0
0
0
25
HighRadius
highradius.com
 65
0
0
0
26
NetSuite CRM
netsuite.com
 77
0
0
0
27
Nvoicepay
nvoicepay.com
 57
0
0
0
28
PairSoft
pairsoft.com
 47
0
0
0
29
Plate IQ
plateiq.com
 60
0
0
0
30
Plooto
plooto.com
 57
0
0
0
31
Procurify
procurify.com
 65
0
0
0
32
QuickBooks Live
intuit.com
 64
0
0
0
33
Rossum
rossum.ai
 65
0
0
0
34
Routable
routable.com
 50
0
0
0
35
Serrala
serrala.com
 67
0
0
0
36
Xelix
xelix.com
 35
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared Billing and Accounts Payable Automation 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 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 →