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?
QuickBooks Live
81/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
84

Highest score on the LBA metric in this industry.

Authority Leader?
Sage CRM
71

Highest score on the Authority metric in this industry.

TOM Leader?
QuickBooks Live
100

Highest score on the TOM metric in this industry.

QuickBooks Live leads the Industry-Specific Accounting Systems category in AI responses

QuickBooks Live is the most consistently-surfaced brand when users ask AI assistants about Industry-Specific Accounting Systems, but not to the point of monopolising the conversation. Sage CRM and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 41 Industry-Specific Accounting Systems 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
QuickBooks Live
intuit.com
 74
70
100
81
2
Sage CRM
sage.com
 64
71
69
68
3
NetSuite CRM
netsuite.com
 81
34
34
46
4
Xero
xero.com
 80
26
38
44
5
Microsoft
microsoft.com
 84
16
22
32
6
Aplos
aplos.com
 62
20
13
26
7
Restaurant365
restaurant365.com
 69
7
17
22
8
Blackbaud Financial Edge NXT
blackbaud.com
 63
9
13
21
9
Buildium
buildium.com
 77
8
12
21
10
FreshBooks
freshbooks.com
 78
8
11
21
11
Deltek Costpoint
deltek.com
 79
8
8
19
12
Yardi Voyager
yardi.com
 68
7
11
19
13
CosmoLex
cosmolex.com
 67
7
10
18
14
BQE CORE
bqe.com
 68
7
7
17
15
MIP Fund Accounting
communitybrands.com
 60
6
10
17
16
MRI Software
mrisoftware.com
 56
6
11
17
17
Square Appointments
squareup.com
 71
7
7
17
18
Zoho
zoho.com
 68
7
8
17
19
Buildertrend
buildertrend.com
 53
5
9
16
20
CMiC
cmicglobal.com
 64
6
6
16
21
Toast
toasttab.com
 55
5
11
16
22
RealPage
realpage.com
 60
6
6
15
23
M3
m3as.com
 56
6
6
14
24
Rent Manager
rentmanager.com
 57
6
6
14
25
MIP
momentivesoftware.com
 39
4
10
13
26
Propertyware
propertyware.com
 46
5
5
12
27
Eque2
eque2.com
 36
4
4
10
28
ACS Technologies
acstechnologies.com
 33
3
3
9
29
Computer Guidance
computerguidance.com
 31
3
3
8
30
Jonas Premier
jonaspremier.com
 30
3
3
8
31
FOUNDATION
foundationsoft.com
 12
1
7
6
32
IconCMO
iconcmo.com
 23
2
2
6
33
Inn-Flow
inn-flow.com
 22
2
2
6
34
CenterPoint Accounting
redwingsoftware.com
 17
2
2
5
35
PowerChurch
powerchurch.com
 17
2
2
5
36
Viewpoint Vista
viewpoint.com
 12
1
3
5
37
JOBPOWER
jobpower.com
 12
1
1
4
38
PENTA
penta.com
 6
1
1
2
39
ProjectPro
projectpro365.com
 6
1
1
2
40
FastFund
fastfund.com
 0
0
0
0
41
G
Gabbil
gabbil.com
 0
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
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 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 →