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?
Microsoft
98/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
93

Highest score on the LBA metric in this industry.

Authority Leader?
Microsoft
100

Highest score on the Authority metric in this industry.

TOM Leader?
Microsoft
100

Highest score on the TOM metric in this industry.

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

When users ask ChatGPT, Claude, or Gemini about Self-Service Analytics Tools, Microsoft is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Tableau 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 35 Self-Service Analytics Tools 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
Microsoft
microsoft.com
 93
100
100
98
2
Tableau
tableau.com
 83
82
100
88
3
Looker
looker.com
 85
88
87
87
4
Qlik
qlik.com
 84
25
83
57
5
ThoughtSpot
thoughtspot.com
 75
26
74
53
6
Metabase
metabase.com
 87
30
46
50
7
Sigma Computing
sigmacomputing.com
 73
17
64
44
8
Domo
domo.com
 78
8
28
28
9
Sisense
sisense.com
 67
7
30
26
10
Mixpanel
mixpanel.com
 86
17
9
25
11
Amplitude
amplitude.com
 82
17
8
24
12
Mode
mode.com
 64
9
18
23
13
Amazon
amazon.com
 78
8
12
21
14
Apache
apache.org
 51
6
23
21
15
Google
google.com
 84
8
10
21
16
Snowflake
snowflake.com
 83
8
8
20
17
Spotfire
tibco.com
 82
8
8
20
18
Zoho
zoho.com
 75
8
9
19
19
Databox
databox.com
 76
8
8
18
20
GoodData
gooddata.com
 76
8
8
18
21
MicroStrategy
microstrategy.com
 74
7
7
18
22
Yellowfin
yellowfinbi.com
 71
7
7
17
23
DashThis
dashthis.com
 63
6
6
16
24
Pyramid Analytics
pyramidanalytics.com
 64
6
6
16
25
Redash
redash.io
 67
7
7
16
26
Klipfolio
klipfolio.com
 61
6
6
15
27
Incorta
incorta.com
 58
6
6
14
28
AnswerRocket
answerrocket.com
 50
5
5
13
29
ClicData
clicdata.com
 50
5
5
13
30
Holistics
holistics.io
 52
5
5
13
31
Luzmo
luzmo.com
 51
5
5
13
32
Omni
omni.co
 46
5
5
12
33
FineBI
finebi.com
 36
4
4
10
34
T
Toucan
toucan.io
 36
4
4
10
35
Grow
grow.com
 29
3
3
8

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
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 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 →