Overview Leaderboard Methodology
Industry Report

Sales Engagement Analytics

Analytics platforms that measure performance of outbound prospecting activities, providing insights on email/call effectiveness and rep productivity.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
Outreach
86/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Gong
88

Highest score on the LBA metric in this industry.

Authority Leader?
Outreach
75

Highest score on the Authority metric in this industry.

TOM Leader?
Outreach
100

Highest score on the TOM metric in this industry.

Outreach is the default answer in AI responses for Sales Engagement Analytics

Outreach and Salesloft together dominate AI responses for Sales Engagement Analytics. 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 36 Sales Engagement Analytics 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
Outreach
outreach.io
 84
75
100
86
2
Salesloft
salesloft.com
 84
66
100
82
3
HubSpot
hubspot.com
 79
73
86
79
4
Apollo
apollo.io
 75
48
72
64
5
Gong
gong.io
 88
33
70
59
6
Clari
clari.com
 77
20
64
47
7
Salesforce
salesforce.com
 87
28
37
45
8
ZoomInfo
zoominfo.com
 79
8
32
29
9
Mixmax
mixmax.com
 69
7
35
28
10
Reply
reply.io
 77
8
30
28
11
Yesware
yesware.com
 71
7
28
26
12
Groove
groove.co
 52
5
31
23
13
Tableau
tableau.com
 83
8
11
22
14
Mailshake
mailshake.com
 66
7
16
21
15
Microsoft
microsoft.com
 87
9
9
21
16
Chorus
chorus.ai
 64
6
10
18
17
People.ai
people.ai
 72
7
7
17
18
PhoneBurner
phoneburner.com
 66
7
7
16
19
Klenty
klenty.com
 60
6
6
15
20
Smartlead
smartlead.ai
 59
6
6
15
21
VanillaSoft
vanillasoft.com
 56
6
7
15
22
Orum
orum.com
 57
6
6
14
23
Saleshandy
saleshandy.com
 58
6
6
14
24
ConnectAndSell
connectandsell.com
 54
5
5
13
25
Jiminny
jiminny.com
 50
5
5
13
26
Lemwarm
lemlist.com
 51
5
5
13
27
Outplay
outplayhq.com
 45
4
7
13
28
ExecVision
execvision.io
 48
5
5
12
29
Kixie
kixie.com
 49
5
5
12
30
PersistIQ
persistiq.com
 49
5
5
12
31
Revenue Grid
revenuegrid.com
 49
5
5
12
32
Woodpecker
woodpecker.co
 45
5
5
12
33
QuickMail
quickmail.com
 37
4
4
10
34
Salesken
salesken.ai
 38
4
4
10
35
Xant
xant.ai
 39
4
4
10
36
Nooks
nooks.ai
 29
3
3
8

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared Sales Engagement Analytics 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 281 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 →