Overview Leaderboard Methodology
Industry Report

Mid-Market ERP Accounting Suites

Comprehensive enterprise resource planning systems with robust accounting modules that support multicompany, multicurrency, and advanced financial consolidation for mid-market firms.

Brands tracked: 31
Brands analyzed: 31
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 251
Total responses: 1,260
Top Brand Overall?
NetSuite CRM
91/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
92

Highest score on the LBA metric in this industry.

Authority Leader?
NetSuite CRM
96

Highest score on the Authority metric in this industry.

TOM Leader?
NetSuite CRM
100

Highest score on the TOM metric in this industry.

NetSuite CRM is the default answer in AI responses for Mid-Market ERP Accounting Suites

NetSuite CRM and Microsoft together dominate AI responses for Mid-Market ERP Accounting Suites. 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 31 Mid-Market ERP Accounting 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
NetSuite CRM
netsuite.com
 78
96
100
91
2
Microsoft
microsoft.com
 92
67
99
85
3
Sage Intacct
sageintacct.com
 82
66
78
75
4
Sage CRM
sage.com
 57
79
82
72
5
Oracle
oracle.com
 74
65
67
69
6
Acumatica
acumatica.com
 74
38
66
57
7
SAP
sap.com
 82
24
80
55
8
Workday
workday.com
 76
8
10
20
9
Odoo CRM
odoo.com
 80
8
8
19
10
ERPNext
erpnext.com
 76
8
8
18
11
abas
abas-erp.com
 69
7
7
17
12
Deltek Costpoint
deltek.com
 71
7
7
17
13
MYOB
myob.com
 67
7
7
17
14
Exact Online
exact.com
 65
7
7
16
15
QAD
qad.com
 64
6
6
16
16
SYSPRO
syspro.com
 67
7
7
16
17
Unit4
unit4.com
 65
7
7
16
18
Certinia
certinia.com
 59
6
6
15
19
Epicor CPQ
epicor.com
 60
6
6
15
20
IFS
ifs.com
 62
6
6
15
21
Infor CPQ
infor.com
 60
6
6
15
22
Plex
plex.com
 57
6
6
14
23
Visma eAccounting
visma.com
 57
6
6
14
24
Aptean
aptean.com
 52
5
5
13
25
Priority
priority-software.com
 50
5
5
13
26
AccountsIQ
accountsiq.com
 49
5
5
12
27
Xledger
xledger.com
 47
5
5
12
28
Macola
macola.com
 43
4
4
11
29
Ramco
ramco.com
 45
4
4
11
30
Multiview
multiviewcorp.com
 38
4
4
10
31
BatchMaster
batchmaster.com
 16
2
2
5

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 251 shared Mid-Market ERP Accounting 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 251 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 →