Overview Leaderboard Methodology
Industry Report

RevOps Platforms

Integrated suites that unify CRM, CPQ, revenue intelligence, analytics, and operational workflows to align sales, marketing, and finance around revenue processes.

Brands tracked: 41
Brands analyzed: 41
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 301
Total responses: 1,590
Top Brand Overall?
Salesforce
91/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
HubSpot
90

Highest score on the LBA metric.

Authority Leader?
Salesforce
87

Highest score on the Authority metric.

TOM Leader?
Salesforce
100

Highest score on the TOM metric.

Salesforce is the default answer in AI responses for RevOps Platforms

Salesforce and HubSpot together dominate AI responses for RevOps Platforms. 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 41 RevOps Platforms 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
Salesforce
salesforce.com
 86
87
100
91
2
HubSpot
hubspot.com
 90
82
94
89
3
Clari
clari.com
 76
41
85
64
4
Gong
gong.io
 85
19
71
49
5
LeanData
leandata.com
 76
12
59
37
6
Outreach
outreach.io
 82
5
47
27
7
6sense
6sense.com
 75
3
36
20
8
Tableau
tableau.com
 83
4
18
18
9
Pipedrive
pipedrive.com
 78
14
4
17
10
ZoomInfo
zoominfo.com
 89
2
25
16
11
Looker
looker.com
 69
3
17
15
12
DealHub
dealhub.io
 73
2
17
14
13
Workato
workato.com
 75
2
22
14
14
Zapier
zapier.com
 85
5
5
13
15
Zuora
zuora.com
 66
1
11
10
16
Salesloft
salesloft.com
 87
0
32
3
17
Chargebee
chargebee.com
 79
0
11
2
18
Conga
conga.com
 74
0
6
2
19
Openprise
openprisetech.com
 48
0
7
2
20
BoostUp
boostup.ai
 23
0
1
1
21
CaptivateIQ
captivateiq.com
 72
0
3
1
22
People.ai
people.ai
 68
0
4
1
23
Revenue Grid
revenuegrid.com
 56
0
4
1
24
Revenue.io
revenue.io
 65
0
2
1
25
Scratchpad
scratchpad.com
 44
0
4
1
26
Aviso
aviso.com
 58
0
0
0
27
Ebsta
ebsta.com
 46
0
0
0
28
Fullcast
fullcast.com
 33
0
0
0
29
Mediafly
mediafly.com
 50
0
0
0
30
Nektar.ai
nektar.ai
 36
0
0
0
31
NetSuite CRM
netsuite.com
 76
0
0
0
32
PROS
pros.com
 47
0
0
0
33
QuotaPath
quotapath.com
 66
0
0
0
34
QuoteWerks
quotewerks.com
 58
0
0
0
35
Qwilr
qwilr.com
 55
0
0
0
36
RevSure
revsure.ai
 33
0
0
0
37
Spiff
spiff.com
 66
0
0
0
38
Subskribe
subskribe.com
 34
0
0
0
39
Tacton
tacton.com
 55
0
0
0
40
Varicent
varicent.com
 52
0
0
0
41
Xactly
xactlycorp.com
 63
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 301 shared RevOps Platforms 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 301 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 →