Overview Leaderboard Methodology
Industry Report

Forecasting Platforms

Software products that provide sales forecasting, pipeline analytics, quota attainment tracking, and predictive revenue modeling for sales and RevOps teams.

Brands tracked: 40
Brands analyzed: 40
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 305
Total responses: 1,575
Top Brand Overall?
Clari
83/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
HubSpot
90

Highest score on the LBA metric.

Authority Leader?
Clari
72

Highest score on the Authority metric.

TOM Leader?
Clari
98

Highest score on the TOM metric.

Clari leads the Forecasting Platforms category in AI responses

Clari is the most consistently-surfaced brand when users ask AI assistants about Forecasting Platforms, but not to the point of monopolising the conversation. Salesforce 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 40 Forecasting 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
Clari
clari.com
 80
72
98
83
2
Salesforce
salesforce.com
 87
64
91
80
3
Anaplan
anaplan.com
 72
47
66
61
4
Gong
gong.io
 86
22
56
47
5
HubSpot
hubspot.com
 90
16
38
38
6
Pigment
pigment.com
 64
13
35
31
7
Workday
workday.com
 80
10
17
23
8
Microsoft
microsoft.com
 75
3
29
19
9
Aviso
aviso.com
 57
3
22
16
10
InsightSquared
insightsquared.com
 63
2
20
13
11
BoostUp
boostup.ai
 28
4
16
12
12
Xactly
xactlycorp.com
 60
1
17
8
13
Mosaic
mosaicfoods.com
 31
1
6
6
14
Vena
venasolutions.com
 64
0
6
5
15
Outreach
outreach.io
 63
0
10
2
16
People.ai
people.ai
 58
0
6
2
17
Pipedrive
pipedrive.com
 78
0
17
2
18
Planful
planful.com
 70
0
11
2
19
Tableau
tableau.com
 83
0
8
2
20
CaptivateIQ
captivateiq.com
 51
0
1
1
21
Drivetrain
drivetrain.ai
 27
0
1
1
22
Mediafly
mediafly.com
 30
0
1
1
23
Altify
altify.com
 25
0
0
0
24
beqom
beqom.com
 35
0
0
0
25
Ebsta
ebsta.com
 48
0
0
0
26
Everstage
everstage.com
 27
0
0
0
27
Forma.ai
forma.ai
 32
0
0
0
28
Fullcast
fullcast.com
 34
0
0
0
29
Iconixx
iconixx.com
 10
0
0
0
30
Nektar.ai
nektar.ai
 20
0
0
0
31
Performio
performio.co
 28
0
0
0
32
Qobra
qobra.co
 23
0
0
0
33
QuotaPath
quotapath.com
 44
0
0
0
34
Revcast
revcast.com
 7
0
0
0
35
Revenue Grid
revenuegrid.com
 48
0
0
0
36
SalesChoice
saleschoice.com
 20
0
0
0
37
Scratchpad
scratchpad.com
 32
0
0
0
38
Spiff
spiff.com
 26
0
0
0
39
T
TopOPPS
topopps.com
 17
0
0
0
40
Varicent
varicent.com
 39
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 305 shared Forecasting 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 305 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 →