Overview Leaderboard Methodology
Industry Report

Embedded Analytics Solutions

Platforms and SDKs that allow software vendors to integrate interactive dashboards, reporting, and analytics capabilities directly into their applications.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Looker
84/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
99

Highest score on the LBA metric in this industry.

Authority Leader?
Looker
73

Highest score on the Authority metric in this industry.

TOM Leader?
Looker
100

Highest score on the TOM metric in this industry.

Looker leads the Embedded Analytics Solutions category in AI responses

Looker is the most consistently-surfaced brand when users ask AI assistants about Embedded Analytics Solutions, but not to the point of monopolising the conversation. Microsoft and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 33 Embedded Analytics Solutions 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
Looker
looker.com
 82
73
100
84
2
Microsoft
microsoft.com
 99
62
93
83
3
Sisense
sisense.com
 70
66
94
76
4
Tableau
tableau.com
 87
47
96
73
5
Metabase
metabase.com
 79
69
57
68
6
ThoughtSpot
thoughtspot.com
 75
37
80
61
7
Qlik
qlik.com
 85
10
68
41
8
Apache
apache.org
 35
26
48
35
9
GoodData
gooddata.com
 65
18
34
35
10
Domo
domo.com
 73
7
49
32
11
Sigma Computing
sigmacomputing.com
 77
8
27
27
12
MicroStrategy
microstrategy.com
 73
7
11
20
13
Mode
mode.com
 57
6
17
19
14
Logi Analytics
logianalytics.com
 69
7
8
17
15
Preset
preset.io
 63
6
9
17
16
Yellowfin
yellowfinbi.com
 66
7
8
17
17
Pyramid Analytics
pyramidanalytics.com
 64
6
6
16
18
Klipfolio
klipfolio.com
 61
6
6
15
19
Redash
redash.io
 53
5
9
15
20
Bold BI
boldbi.com
 54
5
5
14
21
InetSoft
inetsoft.com
 56
6
6
14
22
Exago
exago.com
 51
5
5
13
23
Holistics
holistics.io
 45
5
7
13
24
Izenda
izenda.com
 51
5
5
13
25
Luzmo
luzmo.com
 49
5
5
12
26
Explo
explo.co
 41
4
4
11
27
Qrvey
qrvey.com
 43
4
4
11
28
Reveal
revealbi.io
 44
4
4
11
29
T
Toucan
toucan.io
 41
4
4
11
30
Cluvio
cluvio.com
 38
4
4
10
31
Helical Insight
helicalinsight.com
 36
4
4
9
32
Panintelligence
panintelligence.com
 30
3
3
8
33
V
Vizzly
vizzly.co
 7
1
1
2

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Embedded Analytics Solutions 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 →