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Category · AI Citation Index

Data & Analytics

Data & Analytics is a contested category with three consensus picks trading visibility. Snowflake, Tableau, and Microsoft each surface across all four AI engines we track in more than half of discovery prompts, with Looker close behind as the kingmaker — appearing in the most head-to-head comparisons regardless of win rate. When buyers ask AI to pick between options, Snowflake wins more matchups than it loses, while nine brands qualify as absent giants: they score well in head-to-heads but AI engines rarely surface them unprompted. Pendo, Laserfiche, Logrocket, Metabase, Qlik, Sprinklr Marketing, Mixpanel, and MongoDB all win the majority of their comparison queries yet fail to crack the top ten in discovery share. The category is consolidated at the top — three brands own most of the AI eyeballs — but fragmented in evaluation, where a long tail of specialist tools punches above its weight.

663 discovery queries · 655 head-to-heads · refreshed Aug 16, 2026

Discovery stage

The shortlist

Across 663 buyer-style "Data & Analytics" queries

Tableau and Snowflake each show up in roughly 60 percent of buyer queries about data and analytics software, visible on ChatGPT, Claude, Gemini, and Perplexity. Microsoft (as a parent brand) and Looker trail by single digits, both appearing on all four engines. Databricks and Fivetran hold the next tier, surfacing in about four in ten discovery prompts across the same engine set. The top six brands form a tight consensus — no single name dominates, but all six appear consistently when buyers ask AI for shortlists.

22%33%44%55%66%Coverage — share of discovery prompts where the brand surfaces68%72%77%81%85%Engine diversity

Hover or click a logo to see brand details

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
29/29
2Microsoft
27/29
3Snowflake
26/29
4Looker
23/29
5Data Platform
22/29
1Tableau
11/16
2Microsoft
11/16
3Looker
9/16
4Snowflake
9/16
5Stacks
8/16
1Microsoft
14/15
2Tableau
13/15
3Snowflake
11/15
4Looker
11/15
5Stacks
9/15
1Microsoft
12/13
2Snowflake
8/13
3Stacks
8/13
4Tableau
8/13
5Looker
8/13
1Attribution
11/11
2Google Analytics 4
10/11
3Northbeam
10/11
4Looker Studio
9/11
5Looker
9/11
1Tableau
9/10
2Snowflake
8/10
3Looker
7/10
4Microsoft
6/10
5Looker Studio
5/10
1Microsoft
9/9
2Tableau
8/9
3Stacks
7/9
4Snowflake
6/9
5Databricks
5/9
1Tableau
7/8
2Snowflake
7/8
3Stacks
7/8
4Microsoft
6/8
5Looker
6/8
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · data-analytics

Evaluation stage

Head-to-head

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

Snowflake wins the most head-to-head comparisons in the category, averaging higher than Tableau and Looker across dozens of matchups. Databricks and Microsoft come next, winning more than they lose but with narrower margins. Fivetran and Thoughtspot drop below the category median in evaluation scores, meaning they lose more head-to-heads than they win despite frequent discovery mentions. The pattern is a tiered hierarchy — three brands trade the top slot in comparison queries, while the rest compete for third place.

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand018355370Evaluation prompts cited inmedian citation ratemedian exposure

Hover or click a logo to see brand details

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

1000 citations captured across Data & Analytics prompt runs.

Vendor pages

253

Product, help, and marketing pages from tracked vendors

Independent sources

207

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

Buyer questions

What AI cites for top Data & Analytics questions

Buyers ask AI for data and analytics tools by role, vertical, and workflow constraint — phrasings like 'as a digital marketing specialist, what tools are best for real-time customer data analysis', 'how to manage and analyze customer feedback data', 'how to automate reporting on key product metrics for teams'. A smaller slice digs into integration capabilities and ease-of-use assessments in product analytics and data integration platforms. Pricing and free-tier logistics appear in single-digit query volumes. The dominant mode is top-of-funnel exploration naming use cases and team profiles.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

Drill down

Subcategories

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