Overview Leaderboard Methodology
Industry Report

Employee Recognition Platforms

Software that enables peer-to-peer and manager-driven recognition, rewards, and social appreciation to reinforce company culture and behaviors.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
Bonusly
90/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Slack
86

Highest score on the LBA metric in this industry.

Authority Leader?
Bonusly
100

Highest score on the Authority metric in this industry.

TOM Leader?
Bonusly
100

Highest score on the TOM metric in this industry.

Bonusly is the default answer in AI responses for Employee Recognition Platforms

When users ask ChatGPT, Claude, or Gemini about Employee Recognition Platforms, Bonusly is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Workhuman is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 35 Employee Recognition Platforms 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
Bonusly
bonus.ly
 73
100
100
90
2
Workhuman
workhuman.com
 73
46
83
66
3
Motivosity
motivosity.com
 66
48
87
65
4
Awardco
awardco.com
 69
41
69
58
5
Kudos
kudos.com
 46
42
85
55
6
Nectar
nectarhr.com
 65
24
62
46
7
Achievers
achievers.com
 66
19
43
38
8
Guusto
guusto.com
 43
8
31
23
9
Slack
slack.com
 86
9
9
21
10
15Five
15five.com
 76
8
8
19
11
Culture Amp
cultureamp.com
 74
7
7
18
12
Lattice
lattice.com
 70
7
7
17
13
O.C. Tanner
octanner.com
 69
7
7
17
14
Reward Gateway
rewardgateway.com
 68
7
7
17
15
Assembly
assembly.com
 37
4
20
16
16
BI Worldwide
biworldwide.com
 66
7
7
16
17
HeyTaco
heytaco.com
 62
6
7
16
18
B
Blueboard
blueboard.com
 60
6
6
15
19
Vantage Circle
vantagecircle.com
 59
6
6
15
20
Terryberry
terryberry.com
 56
6
6
14
21
YouEarnedIt
youearnedit.com
 54
5
5
14
22
Empuls
empuls.io
 50
5
5
13
23
Kudoboard
kudoboard.com
 53
5
5
13
24
Matter
matterapp.com
 46
7
5
13
25
AdvantageClub.ai
advantageclub.ai
 42
4
4
11
26
Cooleaf
cooleaf.com
 41
4
4
11
27
Kazoo
kazoohr.com
 40
4
4
11
28
Bucketlist
bucketlistrewards.com
 36
4
5
10
29
Fond
fond.co
 38
4
4
10
30
WorkTango
worktango.com
 40
4
4
10
31
Applauz
applauz.me
 33
3
3
9
32
Recognize
recognizeapp.com
 28
3
3
8
33
WooBoard
wooboard.com
 26
3
3
7
34
Mo
mo.work
 2
0
4
2
35
PraisePal
praisepal.com
 0
0
2
1

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Employee Recognition 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
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 275 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 →