Overview Leaderboard Methodology
Industry Report

Session Replay & Heatmap Tools

Tools that record user sessions and generate heatmaps to visualize user interactions, identify usability issues, and optimize UX.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
FullStory
92/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Mixpanel
85

Highest score on the LBA metric in this industry.

Authority Leader?
FullStory
99

Highest score on the Authority metric in this industry.

TOM Leader?
FullStory
100

Highest score on the TOM metric in this industry.

FullStory is the default answer in AI responses for Session Replay & Heatmap Tools

FullStory and Hotjar together dominate AI responses for Session Replay & Heatmap Tools. 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 34 Session Replay & Heatmap Tools 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
FullStory
fullstory.com
 78
99
100
92
2
Hotjar
hotjar.com
 84
74
99
85
3
Microsoft
microsoft.com
 69
57
57
61
4
LogRocket
logrocket.com
 78
36
67
57
5
Contentsquare
contentsquare.com
 71
33
66
54
6
PostHog
posthog.com
 80
45
36
51
7
Smartlook
smartlook.com
 74
17
61
44
8
Mouseflow
mouseflow.com
 68
13
52
37
9
Amplitude
amplitude.com
 78
8
16
23
10
Crazy Egg
crazyegg.com
 76
8
17
23
11
Lucky Orange
luckyorange.com
 64
6
22
23
12
Mixpanel
mixpanel.com
 85
9
9
20
13
VWO
vwo.com
 80
8
8
19
14
Sentry
sentry.io
 72
7
7
18
15
Inspectlet
inspectlet.com
 63
6
9
17
16
Quantum Metric
quantummetric.com
 69
7
7
17
17
UXCam
uxcam.com
 72
7
7
17
18
Glassbox
glassbox.com
 64
6
6
16
19
OpenReplay
openreplay.com
 65
6
6
16
20
Yandex Metrica
yandex.com
 59
6
6
15
21
SessionCam
sessioncam.com
 54
5
5
14
22
Freshmarketer
freshmarketer.com
 41
4
4
11
23
Plerdy
plerdy.com
 41
4
4
11
24
LiveSession
livesession.io
 39
4
4
10
25
Ptengine
ptengine.com
 35
4
4
9
26
Heatmap.com
heatmap.com
 30
3
3
8
27
Capturly
capturly.com
 26
3
3
7
28
Browsee
browsee.io
 19
2
2
5
29
CUX
cux.io
 16
2
2
5
30
Flowpoint
flowpoint.ai
 19
2
2
5
31
A
Auryc
auryc.com
 11
1
1
3
32
MouseStats
mousestats.com
 11
1
1
3
33
Session Rewind
sessionrewind.com
 8
1
1
3
34
Squeaky
squeaky.ai
 1
0
0
1

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Session Replay & Heatmap Tools 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 269 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 →