The most visible business intelligence tools, October 2026

October 2026 · 12 questions asked in English, worldwide · ChatGPT, Google AI Overviews, Gemini and Google AI Mode · 96 answers read

Most cited source

gartner.com

48citations

From Google AI Mode, Gemini, Google AI Overviews and ChatGPT

Where engines disagree most

They agree

Every engine names the same top three.

Brands

Rank Brand Heralded Score Mentioned Recommended By engine Mentioned by Change
11 Sisense US 13 , range 8–22 8% 0% First reading
= 12 Amazon QuickSight US 10 , range 3–19 4% 1% First reading
= 12 Lightdash GB 10 , range 3–19 4% 1% First reading
14 Microsoft Fabric US 8 , range 1–18 3% 1% First reading
= 15 Board CH 6 , range 1–16 3% 0% None First reading
= 15 GoodData US 6 , range 1–16 3% 0% None First reading
– AnswerRocket US Too few answers 1% 0% None First reading
– Blue Yonder US Too few answers 1% 1% None First reading
– ClicData FR Too few answers 2% 0% None First reading
– Databox US Too few answers 0% 0% First reading

“=” marks brands whose score ranges overlap, so the test cannot separate them. Every brand named in at least three answers is ranked. By engine has one dot per engine (ChatGPT, Google AI Overviews, Gemini and Google AI Mode), darker the more often it names the brand.

Most cited sources

Rank Source Type Cited in Engines Pages cited Brands its pages mention
1 gartner.com Industry authority 34.4% 4 of 4 9 16
2Withheld. Run a full Snapshot to see it.
3 google.com Brand site 15.6% 3 of 4 21 2
4 tableau.com Brand site 16.7% 3 of 4 14 2
5 microsoft.com Brand site 15.6% 2 of 4 13 5
6Withheld. Run a full Snapshot to see it.
7 reddit.com Community 10.4% 3 of 4 8 29
8 snowflake.com Vendor site 8.3% 4 of 4 8 6
9Withheld. Run a full Snapshot to see it.
10 domo.com Brand site 10.4% 4 of 4 6 15

The questions, and who wins each

QuestionLanguageWins it
business intelligence software with the best support English Power BI
which business intelligence software do experts recommend English Power BI and Tableau, tied

Each engine's top three

Method

Each month Heralded asks every engine the same buyer questions, twice each, and reads every answer. An answer counts 0 for a brand it leaves out, 50 for a brand it names and 100 for a brand it recommends, and the Heralded Score is built from those. A brand named in at least three answers gets a score and a place.

How the leaderboards are measured