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 in this industry.

Authority Leader?
BILL
100

Highest score on the Authority metric in this industry.

TOM Leader?
BILL
100

Highest score on the TOM metric in this industry.

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 (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
BILL
bill.com
 86
100
100
95
2
Tipalti
tipalti.com
 74
82
100
85
3
AvidXchange
avidxchange.com
 70
30
84
57
4
Coupa
coupa.com
 69
25
76
51
5
Ramp
ramp.com
 84
32
42
49
6
NetSuite CRM
netsuite.com
 77
16
60
43
7
Melio
melio.com
 63
23
23
33
8
SAP Concur
concur.com
 78
8
45
33
9
Stampli
stampli.com
 71
14
33
33
10
SAP Ariba
ariba.com
 79
9
37
31
11
Basware
basware.com
 73
7
22
25
12
MineralTree
mineraltree.com
 69
7
27
25
13
Yooz
yooz.com
 56
6
30
23
14
QuickBooks Live
intuit.com
 64
11
11
21
15
Airbase
airbase.com
 76
8
11
20
16
Medius
medius.com
 58
6
17
20
17
Esker
esker.com
 73
7
7
18
18
Tradeshift
tradeshift.com
 74
7
7
18
19
Serrala
serrala.com
 67
7
7
17
20
HighRadius
highradius.com
 65
6
6
16
21
Procurify
procurify.com
 65
7
7
16
22
Rossum
rossum.ai
 65
7
7
16
23
Vic.ai
vic.ai
 66
7
7
16
24
Bottomline
bottomline.com
 60
6
6
15
25
Plate IQ
plateiq.com
 60
6
6
15
26
Beanworks
beanworks.com
 57
6
6
14
27
Nvoicepay
nvoicepay.com
 57
6
6
14
28
Plooto
plooto.com
 57
6
6
14
29
Corcentric
corcentric.com
 52
5
5
13
30
Routable
routable.com
 50
5
5
13
31
PairSoft
pairsoft.com
 47
5
5
12
32
Quadient
quadient.com
 49
5
5
12
33
DOKKA
dokka.com
 33
3
3
9
34
Xelix
xelix.com
 35
4
4
9
35
Finofo
finofo.com
 7
1
1
2
36
F
Flowie
flowie.com
 0
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
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 →