Overview Leaderboard Methodology
Industry Report

Email Marketing Platforms

Email campaign, automation, and newsletter platforms.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
Mailchimp
89/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
HubSpot
92

Highest score on the LBA metric in this industry.

Authority Leader?
Mailchimp
79

Highest score on the Authority metric in this industry.

TOM Leader?
Mailchimp
100

Highest score on the TOM metric in this industry.

Mailchimp is the default answer in AI responses for Email Marketing Platforms

When users ask ChatGPT, Claude, or Gemini about Email Marketing Platforms, Mailchimp is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Klaviyo 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 Email Marketing 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
Mailchimp
mailchimp.com
 88
79
100
89
2
Klaviyo
klaviyo.com
 91
47
68
67
3
MailerLite
mailerlite.com
 73
54
71
66
4
Brevo
brevo.com
 75
36
75
59
5
ConvertKit
convertkit.com
 78
23
73
51
6
ActiveCampaign
activecampaign.com
 76
28
43
46
7
HubSpot
hubspot.com
 92
26
34
44
8
Constant Contact
constantcontact.com
 78
8
52
34
9
beehiiv
beehiiv.com
 77
8
23
26
10
Campaign Monitor
campaignmonitor.com
 72
7
26
26
11
Substack
substack.com
 78
8
17
24
12
Omnisend
omnisend.com
 77
8
11
21
13
Salesforce
salesforce.com
 89
9
9
21
14
GetResponse
getresponse.com
 74
7
12
20
15
Kit
kit.com
 79
8
8
19
16
Braze
braze.com
 75
8
8
18
17
Customer.io
customer.io
 76
8
8
18
18
Mailjet
mailjet.com
 74
7
7
18
19
AWeber
aweber.com
 70
7
7
17
20
dotdigital
dotdigital.com
 67
7
7
17
21
Drip
drip.com
 70
7
7
17
22
Flodesk
flodesk.com
 63
6
6
16
23
Ghost
ghost.org
 57
6
8
16
24
Elastic Email
elasticemail.com
 59
6
6
15
25
EmailOctopus
emailoctopus.com
 59
6
6
15
26
Benchmark Email
benchmarkemail.com
 55
5
5
14
27
Emma
myemma.com
 57
6
6
14
28
Mailmodo
mailmodo.com
 58
6
6
14
29
Moosend
moosend.com
 58
6
6
14
30
iContact
icontact.com
 53
5
5
13
31
Sender
sender.net
 52
5
5
13
32
Sendlane
sendlane.com
 53
5
5
13
33
Campaigner
campaigner.com
 46
5
5
12
34
CleverReach
cleverreach.com
 46
5
5
12
35
eSputnik
esputnik.com
 42
4
4
11
36
MailUp
mailup.com
 43
4
4
11

How is this calculated? Methodology

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