Overview Leaderboard Methodology
Industry Report

Intent Data Providers

Providers that collect and score behavioral signals from web activity, content consumption, and search behavior to indicate buying intent for sales and marketing.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Bombora
90/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
ZoomInfo
85

Highest score on the LBA metric.

Authority Leader?
Bombora
91

Highest score on the Authority metric.

TOM Leader?
Bombora
100

Highest score on the TOM metric.

Bombora is the default answer in AI responses for Intent Data Providers

Bombora and 6sense together dominate AI responses for Intent Data Providers. 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 38 Intent Data Providers 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
Bombora
bombora.com
 79
91
100
90
2
6sense
6sense.com
 80
86
100
88
3
Demandbase
demandbase.com
 74
56
89
72
4
ZoomInfo
zoominfo.com
 85
28
84
59
5
G2
g2.com
 66
35
67
54
6
TechTarget
techtarget.com
 69
30
69
52
7
Dealfront
dealfront.com
 57
10
26
24
8
Leadfeeder
leadfeeder.com
 73
8
15
21
9
Clearbit
clearbit.com
 77
5
24
20
10
HubSpot
hubspot.com
 84
15
3
15
11
Apollo
apollo.io
 72
6
4
12
12
TrustRadius
trustradius.com
 56
2
8
10
13
RollWorks
rollworks.com
 66
1
17
9
14
Salesforce
salesforce.com
 79
5
1
8
15
Albacross
albacross.com
 48
1
6
6
16
Madison Logic
madisonlogic.com
 64
0
15
5
17
Factors.AI
factors.ai
 49
0
6
1
18
Foundry
foundryco.com
 23
0
1
1
19
HG Insights
hginsights.com
 68
0
1
1
20
KickFire
kickfire.com
 51
0
1
1
21
Lead Forensics
leadforensics.com
 59
0
1
1
22
NetLine
netline.com
 56
0
1
1
23
Slintel
slintel.com
 66
0
1
1
24
True Influence
trueinfluence.com
 43
0
2
1
25
Anteriad
anteriad.com
 35
0
0
0
26
Cyance
cyance.com
 11
0
0
0
27
DemandScience
demandscience.com
 51
0
0
0
28
Hushly
hushly.com
 22
0
0
0
29
INFUSE
infuse.com
 22
0
0
0
30
IntentData.io
intentdata.io
 18
0
0
0
31
LinkedIn Learning
linkedin.com
 85
0
0
0
32
N.Rich
nrich.io
 34
0
0
0
33
PathFactory
pathfactory.com
 67
0
0
0
34
Revnew
revnew.com
 0
0
0
0
35
T
The Big Willow
thebigwillow.com
 0
0
0
0
36
T
Triblio
triblio.com
 51
0
0
0
37
Visitor Queue
visitorqueue.com
 41
0
0
0
38
Warmly
warmly.ai
 42
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Intent Data Providers 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 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 →