Subcategory · AI Citation Index

Business Intelligence

Business intelligence is AI's clearest three-way consensus. Tableau, Looker, and Domo each surface across all five engines we track, with Tableau appearing in 67% of buyer queries and Looker in 65%. But head-to-head wins tell a different story: Qlik and Metabase score higher in evaluation-stage matchups than the visibility leaders, while Metabase climbs 14 points in recent months — the category's strongest riser. This is a consolidated category at the top of discovery, contested in the evaluation stage.

162 discovery queries · 270 head-to-heads · refreshed Jul 20, 2026

Discovery stage

The shortlist

Across 162 buyer-style "Business Intelligence" queries

Tableau and Looker dominate AI discovery, each surfacing across ChatGPT, Claude, Gemini, Perplexity, and Copilot in more than 65% of buyer queries about business intelligence tools. Domo follows at 51%, Qlik at 44%, and Thoughtspot at 42% — all five engines cite each of them. Microsoft Power BI lands in 48% of discovery prompts but misses one engine in our rotation, leaving slightly thinner coverage than the top tier.

0%22%44%66%88%Coverage — share of discovery prompts where the brand surfaces68%75%83%91%99%Engine diversity

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X = coverage across discovery prompts · Y = engine diversity · Bubble size = total mentions
Tracked acrossChatGPT,Gemini,Claude

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Signal by intent

By topic

Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.

1Tableau
15/15
2Looker
13/15
3Qlik
12/15
4Domo
8/15
5Thoughtspot
8/15
1Tableau
6/6
2Looker
6/6
3Metabase
6/6
4Thoughtspot
6/6
5Qlik
6/6
1Looker
4/4
2Tableau
4/4
3Domo
4/4
4Attribution
4/4
5Windsor.ai
4/4
1Tableau
4/4
2Looker
4/4
3Domo
3/4
4Qlik
2/4
5Netsuite
2/4
1Looker
3/3
2Tableau
3/3
3Metabase
2/3
4Glew
2/3
5Looker Studio
2/3
1Looker
3/3
2Tableau
3/3
3Thoughtspot
3/3
4Sisense
3/3
5Metabase
2/3
1Tableau
3/3
2Domo
3/3
3Looker
3/3
4Qlik
2/3
5Sisense
2/3
1Tableau
3/3
2Qlik
3/3
3Looker
3/3
4Thoughtspot
2/3
5Attribution
2/3
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · business-intelligence

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 4/100

Qlik and Metabase win more head-to-heads than they lose, each scoring 72 out of 100 across two dozen comparison queries. Domo scores 71, and Sisense 68 — all four punch above the category median of 4. Tableau and Looker tie at 47 in head-to-head matchups, well above median but behind the evaluation leaders. Microsoft Power BI scores 46 across 26 comparisons, roughly level with Tableau and Looker in win rate.

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand07142027Evaluation prompts cited inmedian citation ratemedian exposure

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X = evaluation citation rate · Y = evaluation prompts cited in · Bubble size = citation exposure
Median citation rate 4/100

Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.

Citation sources

Where AI pulls citations from

633 citations captured across Business Intelligence prompt runs.

Vendor pages

180

Product, help, and marketing pages from tracked vendors

Independent sources

137

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top Business Intelligence questions

Buyers ask AI for business intelligence solutions by vertical and use case — phrasings like 'business intelligence tools for logistics companies', 'business intelligence solutions for food and beverage industry', 'business intelligence tools for hospitality businesses'. A smaller slice digs into feature-level criteria: 'what level of customization is necessary in business intelligence solutions', 'what reporting features are critical in business intelligence software', 'what are the training and onboarding considerations for business intelligence software'. The prompt mix stays evenly split between shortlisting by context and evaluating functional requirements.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

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