Overview Leaderboard Methodology
Industry Report

Tag Management Systems

Tools that centralize the deployment and governance of tracking tags, pixels, and analytics scripts across websites and apps to ensure consistent data collection.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 240
Total responses: 1,215
Top Brand Overall?
Google
97/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Google
92

Highest score on the LBA metric in this industry.

Authority Leader?
Google
100

Highest score on the Authority metric in this industry.

TOM Leader?
Google
100

Highest score on the TOM metric in this industry.

Google is the default answer in AI responses for Tag Management Systems

When users ask ChatGPT, Claude, or Gemini about Tag Management Systems, Google is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Tealium 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 30 Tag Management Systems 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
Google
google.com
 92
100
100
97
2
Tealium
tealium.com
 82
86
93
87
3
Adobe
adobe.com
 83
63
90
78
4
Segment
segment.com
 82
29
63
53
5
Piwik PRO
piwik.pro
 68
29
56
48
6
Ensighten
ensighten.com
 54
12
63
36
7
Commanders Act
commandersact.com
 60
6
46
28
8
Matomo
matomo.org
 71
8
17
23
9
mParticle
mparticle.com
 77
8
8
19
10
Cookiebot
cookiebot.com
 62
6
6
15
11
ObservePoint
observepoint.com
 60
6
6
15
12
RudderStack
rudderstack.com
 59
6
6
15
13
BlueConic
blueconic.com
 55
5
5
14
14
OneTrust
onetrust.com
 56
6
6
14
15
Snowplow
snowplow.io
 57
6
6
14
16
Stape
stape.io
 57
6
6
14
17
Usercentrics
usercentrics.com
 54
5
5
14
18
Crownpeak
crownpeak.com
 46
5
5
12
19
Didomi
didomi.io
 49
5
5
12
20
JENTIS
jentis.com
 49
5
5
12
21
consentmanager
consentmanager.net
 41
4
4
11
22
Piano
piano.io
 45
4
4
11
23
Elevar
elevar.com
 38
4
4
10
24
Zeotap
zeotap.com
 38
4
4
10
25
Tag Inspector
taginspector.com
 34
3
3
9
26
Qubit
qubit.com
 28
3
3
8
27
Relay42
relay42.com
 30
3
3
8
28
S
Signal
signal.co
 24
2
4
8
29
Addingwell
addingwell.com
 25
2
2
7
30
Taggrs
taggrs.io
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 240 shared Tag Management Systems 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 240 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 →