Overview Leaderboard Methodology
Industry Report

Net Promoter Score Tools

Specialized tools focused on collecting and analyzing NPS feedback to measure customer loyalty and track promoter/detractor trends.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Delighted
88/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Qualtrics
92

Highest score on the LBA metric.

Authority Leader?
Delighted
91

Highest score on the Authority metric.

TOM Leader?
Delighted
100

Highest score on the TOM metric.

Delighted is the default answer in AI responses for Net Promoter Score Tools

Delighted and Qualtrics together dominate AI responses for Net Promoter Score Tools. 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 37 Net Promoter Score Tools 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
Delighted
delighted.com
 74
91
100
88
2
Qualtrics
qualtrics.com
 92
66
87
81
3
AskNicely
asknicely.com
 61
37
70
54
4
SurveyMonkey
surveymonkey.com
 80
32
64
54
5
Typeform
typeform.com
 83
13
38
35
6
Medallia
medallia.com
 79
11
42
33
7
SurveySparrow
surveysparrow.com
 77
12
13
22
8
Survicate
survicate.com
 64
19
7
20
9
Pendo
pendo.io
 76
4
8
14
10
Retently
retently.com
 52
2
10
10
11
Zendesk
zendesk.com
 76
1
20
9
12
HubSpot
hubspot.com
 80
0
26
3
13
Wootric
wootric.com
 59
0
31
3
14
CustomerGauge
customergauge.com
 58
0
10
2
15
GetFeedback
getfeedback.com
 67
0
5
2
16
Hotjar
hotjar.com
 81
0
17
2
17
InMoment
inmoment.com
 69
0
21
2
18
Nicereply
nicereply.com
 61
0
8
2
19
SatisMeter
satismeter.com
 55
0
7
2
20
Appcues
appcues.com
 50
0
1
1
21
Chattermill
chattermill.com
 63
0
1
1
22
Qualaroo
qualaroo.com
 67
0
2
1
23
Refiner
refiner.io
 23
1
0
1
24
Zonka Feedback
zonkafeedback.com
 55
0
1
1
25
CustomerSure
customersure.com
 17
0
0
0
26
Feedier
feedier.com
 24
0
0
0
27
HappyOrNot
happy-or-not.com
 67
0
0
0
28
InputKit
inputkit.com
 25
0
0
0
29
Mopinion
mopinion.com
 51
0
0
0
30
Promoter.io
promoter.io
 41
0
0
0
31
Pulse Insights
pulseinsights.com
 35
0
0
0
32
Satmetrix
satmetrix.com
 56
0
0
0
33
Simplesat
simplesat.io
 57
0
0
0
34
SmileBack
smileback.com
 21
0
0
0
35
SurveySensum
surveysensum.com
 32
0
0
0
36
Trustmary
trustmary.com
 44
0
0
0
37
YesInsights
yesinsights.com
 23
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Net Promoter Score Tools 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 287 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 →