Overview Leaderboard Methodology
Industry Report

Product Analytics Platforms

Platforms that collect and analyze user interaction data across web and mobile apps to measure funnels, retention, and feature usage.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Amplitude
96/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Mixpanel
92

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 Platforms

Amplitude and Mixpanel together dominate AI responses for Product Analytics 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 38 Product Analytics 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
 90
100
100
96
2
Mixpanel
mixpanel.com
 92
99
97
96
3
PostHog
posthog.com
 88
76
86
83
4
Heap
heap.io
 71
52
82
67
5
Pendo
pendo.io
 75
29
63
52
6
FullStory
fullstory.com
 74
7
49
32
7
Hotjar
hotjar.com
 85
9
18
25
8
Adobe
adobe.com
 86
9
13
23
9
Looker
looker.com
 84
8
8
20
10
Segment
segment.com
 82
8
8
20
11
CleverTap
clevertap.com
 79
8
8
19
12
Snowflake
snowflake.com
 78
8
8
19
13
Contentsquare
contentsquare.com
 75
7
7
18
14
dbt
dbt.com
 76
8
8
18
15
Kissmetrics
kissmetrics.io
 73
7
7
18
16
LogRocket
logrocket.com
 76
8
8
18
17
Matomo
matomo.org
 75
8
8
18
18
Smartlook
smartlook.com
 73
7
7
18
19
Statsig
statsig.com
 75
7
7
18
20
Gainsight
gainsight.com
 70
7
7
17
21
Glassbox
glassbox.com
 68
7
7
17
22
Mouseflow
mouseflow.com
 72
7
7
17
23
Plausible
plausible.io
 71
7
7
17
24
Quantum Metric
quantummetric.com
 71
7
7
17
25
RudderStack
rudderstack.com
 70
7
7
17
26
Snowplow
snowplow.io
 70
7
7
17
27
UXCam
uxcam.com
 68
7
7
17
28
Countly
countly.com
 67
7
7
16
29
Lucky Orange
luckyorange.com
 67
7
7
16
30
MoEngage
moengage.com
 66
7
7
16
31
Userpilot
userpilot.com
 65
7
7
16
32
Inspectlet
inspectlet.com
 59
6
6
15
33
WebEngage
webengage.com
 62
6
6
15
34
Woopra
woopra.com
 59
6
6
15
35
Indicative
indicative.com
 53
5
5
13
36
June
june.so
 49
5
5
13
37
Aptabase
aptabase.com
 33
3
3
9
38
Usermaven
usermaven.com
 35
4
4
9

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Product Analytics 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 293 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 →