Overview Leaderboard Methodology
Industry Report

Marketing Automation Platforms

Platforms that automate, segment, and personalize multi-channel marketing workflows including email, SMS, and lead nurturing.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,406
Top Brand Overall?
HubSpot
95/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Klaviyo
95

Highest score on the LBA metric in this industry.

Authority Leader?
HubSpot
92

Highest score on the Authority metric in this industry.

TOM Leader?
HubSpot
100

Highest score on the TOM metric in this industry.

HubSpot is the default answer in AI responses for Marketing Automation Platforms

When users ask ChatGPT, Claude, or Gemini about Marketing Automation Platforms, HubSpot is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. ActiveCampaign is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 36 Marketing Automation 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
HubSpot
hubspot.com
 94
92
100
95
2
ActiveCampaign
activecampaign.com
 83
47
81
68
3
Klaviyo
klaviyo.com
 95
45
70
67
4
Salesforce
salesforce.com
 89
47
72
67
5
Adobe
adobe.com
 90
36
69
61
6
Marketo
marketo.com
 86
36
69
60
7
Mailchimp
mailchimp.com
 89
25
53
50
8
Brevo
brevo.com
 76
10
48
35
9
Braze
braze.com
 77
18
24
33
10
Pardot
pardot.com
 77
8
30
28
11
Customer.io
customer.io
 76
10
17
25
12
Oracle Eloqua
eloqua.com
 76
8
16
23
13
Zoho
zoho.com
 81
8
14
23
14
Iterable
iterable.com
 75
8
15
22
15
Zapier
zapier.com
 91
9
9
22
16
Emarsys
emarsys.com
 79
8
8
19
17
Insider
useinsider.com
 77
8
8
19
18
MoEngage
moengage.com
 77
8
8
19
19
Omnisend
omnisend.com
 80
8
8
19
20
CleverTap
clevertap.com
 73
7
7
18
21
GetResponse
getresponse.com
 76
8
8
18
22
MailerLite
mailerlite.com
 75
8
8
18
23
Pipedrive
pipedrive.com
 76
8
8
18
24
SendPulse
sendpulse.com
 72
7
7
18
25
Act-On
act-on.com
 69
7
7
17
26
Drip
drip.com
 71
7
7
17
27
dotdigital
dotdigital.com
 66
7
7
16
28
Keap
keap.com
 65
7
7
16
29
Ontraport
ontraport.com
 59
6
6
15
30
WebEngage
webengage.com
 61
6
6
15
31
Acoustic Campaign
acoustic.com
 55
5
5
14
32
Ortto
ortto.com
 58
6
6
14
33
Selligent
selligent.com
 56
6
6
14
34
Maropost
maropost.com
 52
5
5
13
35
SharpSpring
sharpspring.com
 53
5
5
13
36
Vero
getvero.com
 40
4
4
10

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared Marketing Automation 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 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 →