Overview Leaderboard Methodology
Industry Report

Industry-Specific Accounting Systems

Accounting software tailored to specific verticals (e.g., construction, nonprofits, healthcare) providing specialized revenue recognition, job costing, and compliance features.

Brands tracked: 41
Brands analyzed: 41
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 311
Total responses: 1,610
Top Brand Overall?
Xero
43/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
84

Highest score on the LBA metric.

Authority Leader?
Xero
26

Highest score on the Authority metric.

TOM Leader?
Xero
38

Highest score on the TOM metric.

Industry-Specific Accounting Systems is a highly fragmented category in AI responses

Even the top-ranked brand (Xero at 43/100) is mentioned inconsistently when users ask AI assistants about Industry-Specific Accounting Systems. Only 1 brand in this category scored above 40. Categories often land here for two reasons: the space is dominated by local or niche players no single AI model has strong training on, or it's a services-heavy category (agencies, consultants) where AI assistants tend not to name specific brands regardless of reputation.

Brand Leaderboard All 41 Industry-Specific Accounting Systems 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
Xero
xero.com
 80
26
38
43
2
Aplos
aplos.com
 62
20
13
26
3
Blackbaud Financial Edge NXT
blackbaud.com
 63
9
13
20
4
Microsoft
microsoft.com
 84
3
9
13
5
Buildium
buildium.com
 77
1
12
11
6
MIP Fund Accounting
communitybrands.com
 60
2
10
10
7
MIP
momentivesoftware.com
 39
2
10
9
8
Buildertrend
buildertrend.com
 53
0
9
2
9
CosmoLex
cosmolex.com
 67
0
10
2
10
FreshBooks
freshbooks.com
 78
0
11
2
11
MRI Software
mrisoftware.com
 56
0
11
2
12
Restaurant365
restaurant365.com
 69
0
17
2
13
Toast
toasttab.com
 55
0
11
2
14
Yardi Voyager
yardi.com
 68
0
11
2
15
Zoho
zoho.com
 68
0
8
2
16
CMiC
cmicglobal.com
 64
0
2
1
17
FOUNDATION
foundationsoft.com
 12
0
7
1
18
M3
m3as.com
 56
0
2
1
19
RealPage
realpage.com
 60
0
4
1
20
Viewpoint Vista
viewpoint.com
 12
0
3
1
21
ACS Technologies
acstechnologies.com
 33
0
0
0
22
BQE CORE
bqe.com
 68
0
0
0
23
CenterPoint Accounting
redwingsoftware.com
 17
0
0
0
24
Computer Guidance
computerguidance.com
 31
0
0
0
25
Deltek Costpoint
deltek.com
 79
0
0
0
26
Eque2
eque2.com
 36
0
0
0
27
FastFund
fastfund.com
 0
0
0
0
28
G
Gabbil
gabbil.com
 0
0
0
0
29
IconCMO
iconcmo.com
 23
0
0
0
30
Inn-Flow
inn-flow.com
 22
0
0
0
31
JOBPOWER
jobpower.com
 12
0
0
0
32
Jonas Premier
jonaspremier.com
 30
0
0
0
33
NetSuite CRM
netsuite.com
 81
0
0
0
34
PENTA
penta.com
 6
0
0
0
35
PowerChurch
powerchurch.com
 17
0
0
0
36
ProjectPro
projectpro365.com
 6
0
0
0
37
Propertyware
propertyware.com
 46
0
0
0
38
QuickBooks Live
intuit.com
 74
0
0
0
39
Rent Manager
rentmanager.com
 57
0
0
0
40
Sage CRM
sage.com
 64
0
0
0
41
Square Appointments
squareup.com
 71
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 311 shared Industry-Specific Accounting Systems 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 311 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 →