Overview Leaderboard Methodology
Industry Report

Enterprise Applicant Tracking Systems

Full-featured ATS platforms designed for large organizations that handle high-volume hiring, advanced workflow automation, integrations with HRIS and payroll, and enterprise-grade security.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Greenhouse
75/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Greenhouse
81

Highest score on the LBA metric.

Authority Leader?
Greenhouse
71

Highest score on the Authority metric.

TOM Leader?
Workday
100

Highest score on the TOM metric.

Greenhouse leads the Enterprise Applicant Tracking Systems category in AI responses

Greenhouse is the most consistently-surfaced brand when users ask AI assistants about Enterprise Applicant Tracking Systems, but not to the point of monopolising the conversation. Workday 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 34 Enterprise Applicant Tracking Systems 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
Greenhouse
greenhouse.com
 81
71
74
75
2
Workday
workday.com
 78
51
100
73
3
iCIMS
icims.com
 71
54
92
71
4
SmartRecruiters
smartrecruiters.com
 73
46
81
65
5
SAP
sap.com
 76
18
81
48
6
Lever
lever.co
 78
33
38
46
7
Oracle
oracle.com
 74
16
77
45
8
Ashby
ashbyhq.com
 62
13
10
20
9
Avature
avature.net
 70
1
41
13
10
BambooHR
bamboohr.com
 70
0
6
6
11
Beamery
beamery.com
 67
0
8
2
12
Breezy HR
breezy.hr
 63
11
0
2
13
Jobvite
jobvite.com
 66
0
10
2
14
Phenom
phenom.com
 59
0
14
2
15
Workable
workable.com
 74
19
0
2
16
Bullhorn
bullhorn.com
 66
0
2
1
17
Pinpoint
pinpointhq.com
 44
0
1
1
18
UKG
ukg.com
 57
0
4
1
19
ApplicantPro
applicantpro.com
 39
0
0
0
20
CEIPAL
ceipal.com
 58
0
0
0
21
ClearCompany
clearcompany.com
 48
0
0
0
22
Cornerstone OnDemand
cornerstoneondemand.com
 60
0
0
0
23
Crelate
crelate.com
 33
0
0
0
24
Fountain
fountain.com
 67
0
0
0
25
Harri
harri.com
 43
0
0
0
26
JazzHR
jazzhr.com
 57
0
0
0
27
Jobylon
jobylon.com
 35
0
0
0
28
Oleeo
oleeo.com
 39
0
0
0
29
PageUp
pageuppeople.com
 57
0
0
0
30
PeopleFluent
peoplefluent.com
 49
0
0
0
31
Recruitee
recruitee.com
 66
0
0
0
32
Talos360
talos360.co.uk
 34
0
0
0
33
Teamtailor
teamtailor.com
 61
0
0
0
34
Tribepad
tribepad.com
 38
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Enterprise Applicant Tracking Systems 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 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 →