Category · Data · live data
| # | Brand | Coverage | Presence | Avg rank | SoV | Score |
|---|---|---|---|---|---|---|
| 01 | Snowflake |     | 83% | 4.3 | 4.3% | 71 |
| 02 | Databricks | | 81% | 4.9 | 3.8% | 64 |
| 03 | Microsoft Power BI | | 82% | 4.6 | 4.1% | 68 |
| 04 | Tableau | | 82% | 4.6 | 4.1% | 68 |
| 05 | Zoho Analytics | | 83% | 4.5 | 4.1% | 69 |
| 06 | Looker | | 79% | 5.4 | 3.4% | 57 |
| 07 | ThoughtSpot | | 68% | 6.3 | 2.8% | 46 |
| 08 | Sigma Computing | | 68% | 6.4 | 2.7% | 45 |
| 09 | Google BigQuery | | 68% | 6.4 | 2.7% | 45 |
| 10 | Domo | | 67% | 6.5 | 2.6% | 44 |
| 11 | DinMo | | 67% | 6.5 | 2.6% | 44 |
| 12 | Ajelix BI | | 67% | 6.6 | 2.6% | 43 |
| 13 | Metabase | | 66% | 6.8 | 2.4% | 40 |
| 14 | dbt | | 65% | 7.0 | 2.3% | 38 |
| 15 | Qlik Sense | | 55% | 7.6 | 1.8% | 30 |
| 16 | Sisense | | 54% | 7.8 | 1.7% | 28 |
| 17 | Datapine | | 54% | 7.8 | 1.6% | 27 |
| 18 | Bloomreach Engagement | | 54% | 7.9 | 1.6% | 26 |
| 19 | Tealium | | 54% | 8.0 | 1.5% | 25 |
| 20 | Twilio Segment | | 53% | 8.1 | 1.4% | 24 |
Presence = share of prompts where the brand is cited · Avg rank = mean position when cited · SoV = share of voice across the category · First measured edition; trends begin next edition.
Which data & analytics brands are most cited by AI assistants?
Snowflake ranks #1 with a score of 71/100, ahead of Databricks (64/100) and Microsoft Power BI (68/100). Measured across ChatGPT, Perplexity, Gemini and Claude for the query “best data analytics platform for enterprises 2026”.
Do AI assistants agree on which data & analytics brands to recommend?
Engine opinions diverge significantly in data & analytics: no brand is cited identically by all four assistants. Gemini in particular surfaces brands the other engines do not mention. This reflects differences in each engine training data and retrieval sources rather than a single correct ranking.
Which data & analytics brands are invisible to AI assistants?
6 of 20 brands are cited by one engine or fewer, including Qlik Sense, Sisense, Datapine. Being functionally invisible to AI assistants ahead of a high-intent buyer query is a growing risk for vendors with otherwise solid market presence.
How is the AI visibility score calculated, and how is it different from SEO?
The score (0–100) combines five dimensions: coverage across engines, presence rate, average rank when cited, share of voice, and citation consistency. Unlike SEO, it measures whether a model names your brand inside its synthesized answer — not whether a link ranks on a results page. Full methodology at /methodology/.