Overview Leaderboard Methodology
Industry Report

Sales Dialers

Cloud-based dialer systems designed to increase outbound call efficiency through predictive, power, and auto-dialing integrated with CRM workflows.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Aircall
64/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Outreach
91

Highest score on the LBA metric in this industry.

Authority Leader?
Aircall
51

Highest score on the Authority metric in this industry.

TOM Leader?
Aircall
74

Highest score on the TOM metric in this industry.

Sales Dialers has no dominant brand in AI responses

Aircall is the top-ranked brand here, but its overall score of 64 reflects a competitive field rather than a dominant player. AI assistants answer category questions about Sales Dialers with varied recommendations from query to query - users get a different set of suggestions each time. This is the kind of category where mid-tier brands still have room to move up.

Brand Leaderboard All 34 Sales Dialers 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
Aircall
aircall.io
 68
51
74
64
2
Kixie
kixie.com
 66
39
54
52
3
Salesloft
salesloft.com
 84
25
52
49
4
PhoneBurner
phoneburner.com
 67
30
53
47
5
CloudTalk
cloudtalk.io
 71
23
58
46
6
Outreach
outreach.io
 91
19
49
45
7
Five9
five9.com
 75
17
63
44
8
Orum
orum.com
 70
29
40
44
9
Dialpad Sell
dialpad.com
 61
22
50
41
10
RingCentral Video
ringcentral.com
 39
24
72
41
11
JustCall
justcall.io
 66
32
28
39
12
Genesys
genesys.com
 69
7
27
25
13
HubSpot
hubspot.com
 84
13
11
24
14
Close
close.com
 77
8
11
21
15
Salesforce
salesforce.com
 82
8
10
21
16
Apollo
apollo.io
 77
8
8
19
17
Convoso
convoso.com
 61
6
14
19
18
VanillaSoft
vanillasoft.com
 74
7
7
18
19
ConnectAndSell
connectandsell.com
 61
6
8
16
20
Revenue.io
revenue.io
 64
6
6
16
21
Ringover
ringover.com
 61
6
6
15
22
VICIdial
vicidial.com
 62
6
6
15
23
CallHippo
callhippo.com
 58
6
6
14
24
Aloware
aloware.com
 52
5
5
13
25
Mojo
mojo-app.com
 52
5
5
13
26
CallTools
calltools.com
 43
4
4
11
27
ReadyMode
readymode.com
 42
4
4
11
28
Nooks
nooks.ai
 33
3
5
10
29
Voicent
voicent.com
 37
4
4
10
30
Koncert
koncert.com
 31
3
3
8
31
BatchDialer
batchdialer.com
 27
3
3
7
32
Toky
toky.co
 27
3
3
7
33
C
ChaseData
chasedata.com
 21
2
2
6
34
DialedIn
dialedin.com
 20
2
2
6

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Sales Dialers 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 →