Overview Leaderboard Methodology
Industry Report

Learning Experience Platforms

Systems designed to deliver personalized, learner-centered training experiences by aggregating content, recommendations, and analytics.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Degreed
81/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
LinkedIn Learning
83

Highest score on the LBA metric.

Authority Leader?
Docebo
80

Highest score on the Authority metric.

TOM Leader?
Degreed
100

Highest score on the TOM metric.

Degreed leads the Learning Experience Platforms category in AI responses

Degreed is the most consistently-surfaced brand when users ask AI assistants about Learning Experience Platforms, but not to the point of monopolising the conversation. Docebo 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 38 Learning Experience 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
Degreed
degreed.com
 73
74
100
81
2
Docebo
docebo.com
 69
80
89
79
3
360Learning
360learning.com
 74
41
60
56
4
E
EdCast
edcast.com
 65
17
67
42
5
Sana
sanalabs.com
 63
6
47
26
6
Fuse
fuseuniversal.com
 35
4
49
20
7
Learn Amp
learnamp.com
 54
5
34
20
8
SAP
sap.com
 59
3
19
15
9
Valamis
valamis.com
 44
1
51
14
10
Cornerstone OnDemand
cornerstoneondemand.com
 73
4
7
13
11
LearnUpon
learnupon.com
 68
3
9
12
12
LinkedIn Learning
linkedin.com
 83
1
16
12
13
TalentLMS
talentlms.com
 66
10
3
12
14
Absorb LMS
absorblms.com
 77
0
17
8
15
Axonify
axonify.com
 71
0
1
3
16
Skillsoft
skillsoft.com
 74
0
28
3
17
Moodle
moodle.com
 79
0
18
2
18
Go1
go1.com
 57
0
2
1
19
Learning Pool
learningpool.com
 57
0
1
1
20
Thrive
thrivelearning.com
 35
0
4
1
21
7taps
7taps.com
 36
0
0
0
22
Area9 Lyceum
area9lyceum.com
 40
0
0
0
23
Arist
arist.co
 24
0
0
0
24
Auzmor Learn
auzmor.com
 30
0
0
0
25
Continu
continu.com
 34
0
0
0
26
Coorpacademy
coorpacademy.com
 48
0
0
0
27
CrossKnowledge
crossknowledge.com
 59
0
0
0
28
Disprz
disprz.com
 45
0
0
0
29
EdApp
edapp.com
 63
0
0
0
30
eloomi
eloomi.com
 41
0
0
0
31
Hive Learning
hivelearning.com
 47
0
0
0
32
HowNow
hownow.com
 37
0
0
0
33
Intellum
intellum.com
 58
0
0
0
34
isEazy
iseazy.com
 38
0
0
0
35
MobieTrain
mobietrain.com
 23
0
0
0
36
NovoEd
novoed.com
 51
0
0
0
37
Rise Up
riseup.ai
 27
0
0
0
38
WorkRamp
workramp.com
 62
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Learning Experience 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 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 →