Overview Leaderboard Methodology
Industry Report

Enterprise BI Platforms

Comprehensive business-intelligence suites that provide enterprise-grade data integration, reporting, self-service analytics, and governance for large organizations.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 257
Total responses: 1,295
Top Brand Overall?
Microsoft
100/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
100

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 Enterprise BI Platforms

Microsoft and Tableau together dominate AI responses for Enterprise BI Platforms. 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 32 Enterprise BI 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
Microsoft
microsoft.com
 100
100
100
100
2
Tableau
tableau.com
 92
93
96
94
3
Looker
looker.com
 86
71
82
80
4
Qlik
qlik.com
 86
48
88
72
5
SAP
sap.com
 78
13
75
44
6
IBM
ibm.com
 82
8
61
37
7
Oracle
oracle.com
 79
8
56
35
8
MicroStrategy
microstrategy.com
 74
7
47
32
9
Sisense
sisense.com
 66
7
28
25
10
Spotfire
tibco.com
 80
8
18
25
11
Domo
domo.com
 74
7
17
23
12
ThoughtSpot
thoughtspot.com
 72
15
7
22
13
Snowflake
snowflake.com
 86
9
9
21
14
dbt
dbt.com
 81
8
8
20
15
Sigma Computing
sigmacomputing.com
 73
7
7
18
16
Metabase
metabase.com
 71
7
7
17
17
SAS Visual Analytics
sas.com
 71
7
7
17
18
WebFOCUS
ibi.com
 69
7
7
17
19
Yellowfin
yellowfinbi.com
 68
7
7
17
20
Zoho
zoho.com
 71
7
7
17
21
GoodData
gooddata.com
 64
6
6
16
22
Pyramid Analytics
pyramidanalytics.com
 63
6
6
16
23
BOARD
board.com
 63
6
6
15
24
FineReport
finereport.com
 63
6
6
15
25
Incorta
incorta.com
 60
6
6
15
26
Jedox
jedox.com
 60
6
6
15
27
Mode
mode.com
 59
6
6
15
28
Tellius
tellius.com
 58
6
6
15
29
Dundas BI
dundas.com
 56
6
6
14
30
Luzmo
luzmo.com
 51
5
5
13
31
Toucan Toco
toucantoco.com
 51
5
5
13
32
ClicData
clicdata.com
 42
4
4
11

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 257 shared Enterprise BI 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 257 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 →