Overview Leaderboard Methodology
Industry Report

Customer Data Platforms

Systems that unify user data from multiple sources to create consolidated user profiles and power analytics and personalization.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Segment
90/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
HubSpot
92

Highest score on the LBA metric in this industry.

Authority Leader?
Segment
85

Highest score on the Authority metric in this industry.

TOM Leader?
Segment
100

Highest score on the TOM metric in this industry.

Segment is the default answer in AI responses for Customer Data Platforms

When users ask ChatGPT, Claude, or Gemini about Customer Data Platforms, Segment is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. mParticle 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 33 Customer Data 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
Segment
segment.com
 85
85
100
90
2
mParticle
mparticle.com
 75
39
90
64
3
Salesforce
salesforce.com
 85
33
72
59
4
Tealium
tealium.com
 83
27
81
57
5
RudderStack
rudderstack.com
 69
33
40
45
6
Treasure Data
treasuredata.com
 74
11
56
38
7
Hightouch
hightouch.com
 76
14
29
33
8
Bloomreach
bloomreach.com
 75
8
34
29
9
BlueConic
blueconic.com
 67
7
39
28
10
ActionIQ
actioniq.com
 65
6
28
25
11
HubSpot
hubspot.com
 92
10
9
22
12
Snowflake
snowflake.com
 85
10
9
21
13
Amperity
amperity.com
 67
7
14
20
14
Klaviyo
klaviyo.com
 84
9
8
20
15
Census
getcensus.com
 74
7
7
18
16
Exponea
exponea.com
 69
7
7
17
17
Insider
useinsider.com
 68
7
7
17
18
Optimove
optimove.com
 67
7
7
17
19
L
Lytics
lytics.com
 56
6
9
16
20
Zeotap
zeotap.com
 64
6
6
16
21
SalesManago
salesmanago.com
 61
6
6
15
22
Simon Data
simondata.com
 60
6
6
15
23
Lexer
lexer.io
 55
6
6
14
24
Ometria
ometria.com
 58
6
6
14
25
Totango
totango.com
 56
6
6
14
26
Commanders Act
commandersact.com
 50
5
5
13
27
NGDATA
ngdata.com
 51
5
5
13
28
Redpoint
redpointglobal.com
 53
5
5
13
29
Acquia CDP
acquia.com
 42
4
4
11
30
CrossEngage
crossengage.io
 41
4
4
11
31
FirstHive
firsthive.com
 32
3
3
9
32
Imagino
imagino.com
 27
3
3
7
33
Antsomi
antsomi.com
 12
1
1
4

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Customer Data 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 263 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 →