Overview Leaderboard Methodology
Industry Report

Self-Service Analytics Tools

User-friendly analytics and visualization products that enable nontechnical users to explore data, build dashboards, and generate insights without heavy IT involvement.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,399
Top Brand Overall?
Tableau
88/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
93

Highest score on the LBA metric.

Authority Leader?
Looker
88

Highest score on the Authority metric.

TOM Leader?
Tableau
100

Highest score on the TOM metric.

Tableau is the default answer in AI responses for Self-Service Analytics Tools

Tableau and Looker together dominate AI responses for Self-Service Analytics Tools. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 35 Self-Service Analytics Tools 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
Tableau
tableau.com
 83
82
100
88
2
Looker
looker.com
 85
88
87
87
3
Microsoft
microsoft.com
 93
47
100
76
4
Qlik
qlik.com
 84
25
83
56
5
ThoughtSpot
thoughtspot.com
 75
26
74
52
6
Metabase
metabase.com
 87
30
46
49
7
Sigma Computing
sigmacomputing.com
 73
17
64
43
8
Mode
mode.com
 64
9
18
21
9
Apache
apache.org
 51
6
23
20
10
Domo
domo.com
 78
4
28
20
11
Google
google.com
 84
8
10
19
12
Amplitude
amplitude.com
 82
17
1
11
13
Mixpanel
mixpanel.com
 86
17
1
11
14
Sisense
sisense.com
 67
0
30
3
15
Amazon
amazon.com
 78
0
11
2
16
Zoho
zoho.com
 75
0
9
2
17
Snowflake
snowflake.com
 83
1
0
1
18
AnswerRocket
answerrocket.com
 50
0
0
0
19
ClicData
clicdata.com
 50
0
0
0
20
DashThis
dashthis.com
 63
0
0
0
21
Databox
databox.com
 76
0
0
0
22
FineBI
finebi.com
 36
0
0
0
23
GoodData
gooddata.com
 76
0
0
0
24
Grow
grow.com
 29
0
0
0
25
Holistics
holistics.io
 52
0
0
0
26
Incorta
incorta.com
 58
0
0
0
27
Klipfolio
klipfolio.com
 61
0
0
0
28
Luzmo
luzmo.com
 51
0
0
0
29
MicroStrategy
microstrategy.com
 74
0
0
0
30
Omni
omni.co
 46
0
0
0
31
Pyramid Analytics
pyramidanalytics.com
 64
0
0
0
32
Redash
redash.io
 67
0
0
0
33
Spotfire
tibco.com
 82
0
0
0
34
T
Toucan
toucan.io
 36
0
0
0
35
Yellowfin
yellowfinbi.com
 71
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Self-Service Analytics Tools 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 275 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 →