Overview Leaderboard Methodology
Industry Report

Marketing Analytics Platforms

Software suites that aggregate multi-channel marketing data, provide dashboards and reporting, and support campaign performance analysis and ROI measurement.

Brands tracked: 43
Brands analyzed: 43
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 323
Total responses: 1,680
Top Brand Overall?
Google
91/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Google
100

Highest score on the LBA metric.

Authority Leader?
Google
74

Highest score on the Authority metric.

TOM Leader?
Google
100

Highest score on the TOM metric.

Google is the default answer in AI responses for Marketing Analytics Platforms

When users ask ChatGPT, Claude, or Gemini about Marketing Analytics Platforms, Google is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. HubSpot 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 43 Marketing Analytics Platforms brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Google
google.com
 100
74
100
91
2
HubSpot
hubspot.com
 94
46
70
67
3
Adobe
adobe.com
 93
37
83
66
4
Looker
looker.com
 77
48
68
63
5
Tableau
tableau.com
 92
29
60
54
6
Mixpanel
mixpanel.com
 86
17
59
44
7
Amplitude
amplitude.com
 86
12
41
35
8
Salesforce
salesforce.com
 87
10
31
30
9
Supermetrics
supermetrics.com
 72
9
25
25
10
Sprout Social
sproutsocial.com
 85
11
10
22
11
Funnel
funnel.io
 75
5
23
20
12
Rockerbox
rockerbox.com
 61
2
42
18
13
Databox
databox.com
 74
10
7
17
14
Microsoft
microsoft.com
 93
3
8
12
15
Klaviyo
klaviyo.com
 92
0
32
11
16
Klipfolio
klipfolio.com
 63
2
12
11
17
Northbeam
northbeam.io
 49
0
40
3
18
Triple Whale
triplewhale.com
 78
0
33
3
19
Adjust
adjust.com
 81
0
5
2
20
AppsFlyer
appsflyer.com
 89
0
14
2
21
Branch
branch.io
 73
0
8
2
22
Datorama
datorama.com
 72
0
8
2
23
Windsor.ai
windsor.ai
 57
0
9
2
24
Adverity
adverity.com
 59
0
4
1
25
AgencyAnalytics
agencyanalytics.com
 74
0
2
1
26
Dreamdata
dreamdata.io
 64
0
4
1
27
Improvado
improvado.io
 62
0
4
1
28
Kochava
kochava.com
 72
0
3
1
29
NinjaCat
ninjacat.io
 63
0
4
1
30
Whatagraph
whatagraph.com
 61
0
1
1
31
CaliberMind
calibermind.com
 51
0
0
0
32
Coupler.io
coupler.io
 55
0
0
0
33
DashThis
dashthis.com
 62
0
0
0
34
Fivetran
fivetran.com
 73
0
0
0
35
FunnelDash
funneldash.com
 1
0
0
0
36
Hyros
hyros.com
 49
0
0
0
37
LeadsRx
leadsrx.com
 52
0
0
0
38
Mezmo
mezmo.com
 53
0
0
0
39
Porter
portermetrics.com
 33
0
0
0
40
ReportGarden
reportgarden.com
 42
0
0
0
41
Singular
singular.net
 78
0
0
0
42
Swydo
swydo.com
 53
0
0
0
43
TapClicks
tapclicks.com
 61
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 323 shared Marketing Analytics 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
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 323 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 →