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.

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 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 (geometric mean of LBA, Authority, and TOM). 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
6
49
28
7
Looker
looker.com
 84
1
3
7
8
Plausible
plausible.io
 71
1
6
6
9
Adobe
adobe.com
 86
0
13
2
10
Hotjar
hotjar.com
 85
0
18
2
11
LogRocket
logrocket.com
 76
0
6
2
12
CleverTap
clevertap.com
 79
0
1
1
13
Contentsquare
contentsquare.com
 75
0
3
1
14
dbt
dbt.com
 76
0
1
1
15
Gainsight
gainsight.com
 70
0
1
1
16
Indicative
indicative.com
 53
0
1
1
17
Matomo
matomo.org
 75
0
4
1
18
Quantum Metric
quantummetric.com
 71
0
3
1
19
RudderStack
rudderstack.com
 70
0
1
1
20
Segment
segment.com
 82
0
4
1
21
Smartlook
smartlook.com
 73
0
1
1
22
Snowflake
snowflake.com
 78
0
1
1
23
Userpilot
userpilot.com
 65
0
4
1
24
Aptabase
aptabase.com
 33
0
0
0
25
Countly
countly.com
 67
0
0
0
26
Glassbox
glassbox.com
 68
0
0
0
27
Inspectlet
inspectlet.com
 59
0
0
0
28
June
june.so
 49
0
0
0
29
Kissmetrics
kissmetrics.io
 73
0
0
0
30
Lucky Orange
luckyorange.com
 67
0
0
0
31
MoEngage
moengage.com
 66
0
0
0
32
Mouseflow
mouseflow.com
 72
0
0
0
33
Snowplow
snowplow.io
 70
0
0
0
34
Statsig
statsig.com
 75
0
0
0
35
Usermaven
usermaven.com
 35
0
0
0
36
UXCam
uxcam.com
 68
0
0
0
37
WebEngage
webengage.com
 62
0
0
0
38
Woopra
woopra.com
 59
0
0
0

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
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 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 →