Overview Leaderboard Methodology
Industry Report

Commission Software

Platforms that automate sales commission calculation, payout workflows, quota and SPIF management, and dispute resolution for compensation teams.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Xactly
83/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
SAP
77

Highest score on the LBA metric in this industry.

Authority Leader?
CaptivateIQ
81

Highest score on the Authority metric in this industry.

TOM Leader?
Xactly
99

Highest score on the TOM metric in this industry.

Xactly leads the Commission Software category in AI responses

Xactly is the most consistently-surfaced brand when users ask AI assistants about Commission Software, but not to the point of monopolising the conversation. CaptivateIQ 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 38 Commission Software 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
Xactly
xactlycorp.com
 73
79
99
83
2
CaptivateIQ
captivateiq.com
 73
81
92
82
3
X
Xactly Incent
xactly.com
 71
59
76
68
4
Spiff
spiff.com
 68
50
86
67
5
QuotaPath
quotapath.com
 64
48
50
54
6
Varicent
varicent.com
 57
32
57
47
7
Everstage
everstage.com
 56
19
36
34
8
Performio
performio.co
 52
12
42
31
9
SAP
sap.com
 77
8
26
27
10
Salesforce
salesforce.com
 76
17
10
25
11
Oracle
oracle.com
 75
8
8
18
12
Anaplan
anaplan.com
 63
6
8
17
13
Tipalti
tipalti.com
 49
5
14
17
14
CallidusCloud
calliduscloud.com
 65
6
6
16
15
HubSpot
hubspot.com
 65
7
7
16
16
Brokermint
brokermint.com
 60
6
6
15
17
beqom
beqom.com
 54
5
5
14
18
AgencyBloc
agencybloc.com
 46
5
5
12
19
Qobra
qobra.co
 34
3
10
12
20
Gusto
gusto.com
 38
4
4
10
21
Commissionly
commissionly.io
 17
2
11
9
22
Optymyze
optymyze.com
 35
4
4
9
23
Compass
getcompass.ai
 29
3
3
8
24
Forma.ai
forma.ai
 31
3
3
8
25
Iconixx
iconixx.com
 28
3
3
8
26
QCommission
qcommission.com
 31
3
3
8
27
Kennect
kennect.io
 26
3
3
7
28
SalesCookie
salescookie.com
 27
3
3
7
29
Sisu
sisu.co
 24
2
2
7
30
BrokerSumo
brokersumo.com
 22
2
2
6
31
CommissionTrac
commissiontrac.com
 20
2
2
6
32
NextAgency
nextagency.com
 17
2
2
5
33
Visdum
visdum.com
 18
2
2
5
34
Core Commissions
corecommissions.com
 10
1
1
3
35
Easy-Commission
easy-commission.com
 5
1
1
2
36
ElevateHQ
elevate.so
 4
0
0
1
37
TotalBrokerage
totalbrokerage.com
 3
0
0
1
38
ZenCentiv
zencentiv.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Commission Software 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 293 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 →