Overview Leaderboard Methodology
Industry Report

Lead Enrichment Services

Services and tools that append firmographic, contact, and intent data to raw prospect lists to improve targeting and qualification.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Apollo
87/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
HubSpot
85

Highest score on the LBA metric in this industry.

Authority Leader?
Apollo
87

Highest score on the Authority metric in this industry.

TOM Leader?
ZoomInfo
100

Highest score on the TOM metric in this industry.

Apollo is the default answer in AI responses for Lead Enrichment Services

Apollo and Clearbit together dominate AI responses for Lead Enrichment Services. 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 34 Lead Enrichment Services 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
Apollo
apollo.io
 80
87
93
87
2
Clearbit
clearbit.com
 81
80
99
86
3
ZoomInfo
zoominfo.com
 84
61
100
80
4
Cognism
cognism.com
 67
32
71
54
5
Lusha
lusha.com
 72
28
67
52
6
People Data Labs
peopledatalabs.com
 73
14
44
37
7
6sense
6sense.com
 72
10
45
34
8
Clay
clay.com
 75
11
38
33
9
Demandbase
demandbase.com
 69
7
38
29
10
Seamless.AI
seamless.ai
 64
6
33
26
11
FullContact
fullcontact.com
 71
7
25
25
12
HubSpot
hubspot.com
 85
14
10
25
13
RocketReach
rocketreach.co
 69
7
15
21
14
Salesforce
salesforce.com
 80
8
8
19
15
LeadIQ
leadiq.com
 71
7
8
18
16
ZeroBounce
zerobounce.net
 74
7
7
18
17
Bombora
bombora.com
 70
7
7
17
18
Lead411
lead411.com
 69
7
7
17
19
Snov.io
snov.io
 70
7
7
17
20
UpLead
uplead.com
 62
6
9
17
21
NeverBounce
neverbounce.com
 66
7
7
16
22
ContactOut
contactout.com
 59
6
6
15
23
Dropcontact
dropcontact.com
 59
6
6
15
24
Datanyze
datanyze.com
 54
5
5
14
25
LeadGenius
leadgenius.com
 58
6
6
14
26
SalesIntel
salesintel.io
 52
5
5
13
27
Skrapp
skrapp.io
 52
5
5
13
28
Kaspr
kaspr.io
 49
5
5
12
29
Adapt
adapt.io
 36
4
4
9
30
Global Database
globaldatabase.com
 35
4
4
9
31
SalesQL
salesql.com
 36
4
4
9
32
Prospeo
prospeo.io
 30
3
3
8
33
Hunter Campaigns
hunter.io
 5
1
1
2
34
Enrow
enrow.io
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Lead Enrichment Services 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 269 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 →