Overview Leaderboard Methodology
Industry Report

Voice of Customer Platforms

Integrated platforms that collect and unify customer feedback from surveys, reviews, support tickets, and social channels for insights and action.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Qualtrics
94/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Hotjar
87

Highest score on the LBA metric in this industry.

Authority Leader?
Qualtrics
100

Highest score on the Authority metric in this industry.

TOM Leader?
Qualtrics
100

Highest score on the TOM metric in this industry.

Qualtrics is the default answer in AI responses for Voice of Customer Platforms

When users ask ChatGPT, Claude, or Gemini about Voice of Customer Platforms, Qualtrics is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Medallia 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 37 Voice of Customer 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
Qualtrics
qualtrics.com
 84
100
100
94
2
Medallia
medallia.com
 78
67
95
79
3
SurveyMonkey
surveymonkey.com
 73
34
80
59
4
Zendesk
zendesk.com
 83
21
52
46
5
Delighted
delighted.com
 68
22
54
44
6
Pendo
pendo.io
 72
7
48
32
7
Typeform
typeform.com
 75
17
23
32
8
InMoment
inmoment.com
 68
7
47
31
9
Hotjar
hotjar.com
 87
9
26
29
10
Sprinklr
sprinklr.com
 75
8
32
28
11
AskNicely
asknicely.com
 65
6
25
24
12
Birdeye
birdeye.com
 82
8
17
24
13
UserTesting
usertesting.com
 75
7
18
24
14
Chattermill
chattermill.com
 56
6
31
23
15
Intercom
intercom.com
 86
9
9
21
16
GetFeedback
getfeedback.com
 63
6
13
19
17
Alchemer
alchemer.com
 75
8
8
18
18
Reputation
reputation.com
 74
7
7
18
19
Clarabridge
clarabridge.com
 68
7
7
17
20
ReviewTrackers
reviewtrackers.com
 70
7
7
17
21
Confirmit
confirmit.com
 63
6
6
16
22
Forsta
forsta.com
 55
6
9
16
23
Podium
podium.com
 66
7
7
16
24
Nicereply
nicereply.com
 63
6
6
15
25
OpinionLab
opinionlab.com
 59
6
6
15
26
Survicate
survicate.com
 62
6
6
15
27
Thematic
getthematic.com
 50
5
9
15
28
Sogolytics
sogolytics.com
 54
5
5
14
29
CustomerGauge
customergauge.com
 51
5
5
13
30
Mopinion
mopinion.com
 53
5
5
13
31
Zonka Feedback
zonkafeedback.com
 53
5
5
13
32
Questback
questback.com
 43
4
4
11
33
SentiSum
sentisum.com
 41
4
4
11
34
CheckMarket
checkmarket.com
 39
4
4
10
35
Listen360
listen360.com
 36
4
4
9
36
LocalClarity
localclarity.com
 28
3
3
8
37
SMG
smg.com
 16
2
2
5

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Voice of Customer 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 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 →