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 in this industry.

Authority Leader?
Amplitude
100

Highest score on the Authority metric in this industry.

TOM Leader?
Amplitude
100

Highest score on the TOM metric in this industry.

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 (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
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
48
8
Pendo
pendo.io
 73
7
31
28
9
Tealium
tealium.com
 79
8
17
24
10
Braze
braze.com
 82
8
8
20
11
dbt
dbt.com
 84
8
8
20
12
Hightouch
hightouch.com
 70
7
12
20
13
HubSpot
hubspot.com
 82
8
8
20
14
Treasure Data
treasuredata.com
 74
7
10
20
15
CleverTap
clevertap.com
 77
8
8
19
16
FullStory
fullstory.com
 80
8
8
19
17
Looker
looker.com
 79
8
8
19
18
Snowflake
snowflake.com
 78
8
8
19
19
MoEngage
moengage.com
 73
7
7
18
20
Snowplow
snowplow.io
 73
7
7
18
21
ActionIQ
actioniq.com
 67
7
7
17
22
Blueshift
blueshift.com
 70
7
7
17
23
Gainsight
gainsight.com
 69
7
7
17
24
Insider
useinsider.com
 68
7
7
17
25
Kissmetrics
kissmetrics.io
 70
7
7
17
26
Piwik PRO
piwik.pro
 69
7
7
17
27
Quantum Metric
quantummetric.com
 68
7
7
17
28
Userpilot
userpilot.com
 69
7
7
17
29
UXCam
uxcam.com
 68
7
7
17
30
Countly
countly.com
 64
6
6
16
31
Freshpaint
freshpaint.io
 65
7
7
16
32
Glassbox
glassbox.com
 63
6
6
16
33
Indicative
indicative.com
 60
6
6
15
34
Smartlook
smartlook.com
 61
6
6
15
35
Woopra
woopra.com
 60
6
6
15
36
Commanders Act
commandersact.com
 46
5
5
12
37
June
june.so
 30
3
3
8

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
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 →