Skip to content

Buying question

Create a proof-of-concept scorecard for BI platforms covering time to insight, metric consistency, query speed, adoption, and administration.

Which brands each model API named when asked this question, and which pages it cited. Answer text is not published.
Snapshot Sep 23, 2026. Each category is re-run in rotation, every few weeks.

Commercial

Kind of question

3

Model APIs

4

Brands named

0

Pages cited

Brands

Brands the answers named

Rank#BrandModel APIsMentionsNamed by
1Google Lookercloud.google.com11Google
2Microsoft Power BImicrosoft.com11Google
3Qlik Cloud Analyticsqlik.com11Google
4Tableautableau.com11Google

Model APIs

What each model API returned

Model APIModelBrands namedCitationsDomainsAnswer hash
OpenAIopenai/gpt-4o-miniNone named00b01ee903…15e46
Anthropicanthropic/claude-haiku-4-5None named00ea5282e9…e7817
Googlegoogle/gemini-2.5-flashMicrosoft Power BI · Tableau · Google Looker · Qlik Cloud Analytics00efd0e041…f0e08
Snapshots
bb8f2ecd-6306-491c-829f-829ea9970ac0
Question set
bi-analytics-platforms-2026-07-27
Benchmark version
4-bi-analytics-platforms-2026-07-27-models-64232fd32583
What is kept
Measured in BI & Analytics. Full answers are not stored or published, and no customer data is included.

Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.

  • Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
  • Who gets namedEvery competitor in the answers, most named first.
  • The pages AI readsThe sources behind each answer.
  • Three fixesWhat to fix first, with a brief for the first article.