Overview Leaderboard Methodology
Industry Report

Product Analytics Customer Data Platforms

CDPs that combine user-level event tracking and product analytics with customer profiles to enable feature usage analysis, cohorting, and product-led growth initiatives.

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

Highest overall AI Visibility Score in this industry.

LBA Leader?
Segment
89

Highest score on the LBA metric.

Authority Leader?
Amplitude
100

Highest score on the Authority metric.

TOM Leader?
Amplitude
100

Highest score on the TOM metric.

Amplitude is the default answer in AI responses for Product Analytics Customer Data Platforms

Amplitude and Segment together dominate AI responses for Product Analytics Customer Data Platforms. 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 Product Analytics Customer Data 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
Amplitude
amplitude.com
 84
100
100
94
2
Segment
segment.com
 89
83
97
89
3
Mixpanel
mixpanel.com
 88
63
85
78
4
RudderStack
rudderstack.com
 67
45
70
60
5
PostHog
posthog.com
 80
37
54
55
6
Heap
heap.io
 76
31
66
54
7
mParticle
mparticle.com
 74
23
62
47
8
Pendo
pendo.io
 73
7
31
25
9
Snowflake
snowflake.com
 78
1
6
9
10
Braze
braze.com
 82
0
4
5
11
ActionIQ
actioniq.com
 67
0
6
2
12
FullStory
fullstory.com
 80
0
4
2
13
Hightouch
hightouch.com
 70
0
12
2
14
Tealium
tealium.com
 79
0
17
2
15
Treasure Data
treasuredata.com
 74
0
10
2
16
dbt
dbt.com
 84
0
1
1
17
Gainsight
gainsight.com
 69
0
1
1
18
HubSpot
hubspot.com
 82
0
4
1
19
Looker
looker.com
 79
0
4
1
20
Snowplow
snowplow.io
 73
0
4
1
21
Blueshift
blueshift.com
 70
0
0
0
22
CleverTap
clevertap.com
 77
0
0
0
23
Commanders Act
commandersact.com
 46
0
0
0
24
Countly
countly.com
 64
0
0
0
25
Freshpaint
freshpaint.io
 65
0
0
0
26
Glassbox
glassbox.com
 63
0
0
0
27
Indicative
indicative.com
 60
0
0
0
28
Insider
useinsider.com
 68
0
0
0
29
June
june.so
 30
0
0
0
30
Kissmetrics
kissmetrics.io
 70
0
0
0
31
MoEngage
moengage.com
 73
0
0
0
32
Piwik PRO
piwik.pro
 69
0
0
0
33
Quantum Metric
quantummetric.com
 68
0
0
0
34
Smartlook
smartlook.com
 61
0
0
0
35
Userpilot
userpilot.com
 69
0
0
0
36
UXCam
uxcam.com
 68
0
0
0
37
Woopra
woopra.com
 60
0
0
0

How is this calculated? Methodology

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