Overview Leaderboard Methodology
Industry Report

Accounts Receivable Automation

Software that automates AR processes including invoice delivery, payment matching, collections workflows, and cash application.

Brands tracked: 39
Brands analyzed: 39
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 294
Total responses: 1,530
Top Brand Overall?
HighRadius
89/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
SAP
79

Highest score on the LBA metric.

Authority Leader?
HighRadius
91

Highest score on the Authority metric.

TOM Leader?
HighRadius
100

Highest score on the TOM metric.

HighRadius is the default answer in AI responses for Accounts Receivable Automation

When users ask ChatGPT, Claude, or Gemini about Accounts Receivable Automation, HighRadius is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Billtrust 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 39 Accounts Receivable 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
HighRadius
highradius.com
 77
91
100
89
2
Billtrust
billtrust.com
 67
30
71
52
3
Versapay
versapay.com
 60
25
76
48
4
SAP
sap.com
 79
15
48
39
5
BILL
bill.com
 78
15
41
37
6
BlackLine
blackline.com
 79
13
32
32
7
Tesorio
tesorio.com
 62
8
42
28
8
YayPay
yaypay.com
 57
5
33
22
9
Chaser
chaserhq.com
 56
6
23
20
10
Zoho
zoho.com
 68
8
15
20
11
Oracle
oracle.com
 71
2
41
19
12
Invoiced
invoiced.com
 65
4
19
17
13
Esker
esker.com
 77
4
7
13
14
Xero
xero.com
 68
4
8
13
15
Gaviti
gaviti.com
 57
2
7
10
16
Quadient
quadient.com
 56
1
12
9
17
AvidXchange
avidxchange.com
 57
0
30
3
18
Kolleno
kolleno.com
 37
0
6
3
19
Sage Intacct
sageintacct.com
 75
0
25
3
20
Cforia
cforia.com
 16
0
2
2
21
Emagia
emagia.com
 64
0
8
2
22
Sidetrade
sidetrade.com
 60
0
10
2
23
InvoiceSherpa
invoicesherpa.com
 31
1
0
1
24
Serrala
serrala.com
 61
0
2
1
25
Upflow
upflow.io
 62
0
3
1
26
A
Anycollect
anycollect.com
 0
0
0
0
27
Armatic
armatic.com
 38
0
0
0
28
Bill360
bill360.com
 24
0
0
0
29
Centime
centime.com
 34
0
0
0
30
C
Collectly
collectly.com
 39
0
0
0
31
Corcentric
corcentric.com
 49
0
0
0
32
Growfin
growfin.ai
 40
0
0
0
33
My DSO Manager
mydsomanager.com
 34
0
0
0
34
NetSuite CRM
netsuite.com
 73
0
0
0
35
Nomentia
nomentia.com
 37
0
0
0
36
Onguard
onguard.com
 24
0
0
0
37
Peakflo
peakflo.co
 39
0
0
0
38
QuickBooks Time
quickbooks.com
 71
0
0
0
39
Satago
satago.com
 42
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 294 shared Accounts Receivable 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 294 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 →