AI Rankings · business intelligence and analytics software · Australia
Apache Superset, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for business intelligence and analytics software, Apache Superset came up in 7 of 180 answers. That puts it #16 of the 246 companies AI named in Australia.
Every time it came up, AI recommended it rather than just mentioning it.
- 60 buyer questions
- 180 answers read
- 3 engines
Where you stand
Your totals across all 3 engines first, then the same numbers engine by engine. Rank is your place among the companies that engine named in Australia. Mention rate is the share of that engine’s answers that name you. Recommendation rate is the share of your mentions where you are put forward as a recommendation, not just named. Average position is the place you take in an answer that names you, 1 means first. Questions you appear in is how many of the 60 buyer questions named you at least once.
| Engine | Rank | Mention rate | Recommendation rate | Average position | Questions you appear in |
|---|---|---|---|---|---|
| All 3 engines | #16of 246 | 4% | 100% | 1.9 | 3 of 60 |
 ChatGPT | #15of 132 | 5% | 100% | 2.7 | 3 of 60 |
 Gemini | #40of 138 | 2% | 100% | 1.0 | 1 of 60 |
 Google AI Mode | #15of 104 | 5% | 100% | 1.3 | 3 of 60 |
ChatGPT names Apache Superset most often, Gemini least. Power BI leads on all 3 engines.
Named instead of you
The leader, the three named right above you, and you. Share of answers that name each one, overall and on each engine.
| Rank | company | Mention rate | ChatGPT | Gemini | Google AI Mode |
|---|---|---|---|---|---|
| 1 | Power BI110 answers ahead of you | 67% | 60% | 73% | 62% |
| 13 | Databricks3 answers ahead of you | 6% | 2% | 8% | 7% |
| 14 | Fathom3 answers ahead of you | 6% | 7% | 5% | 5% |
| 15 | Snowflake3 answers ahead of you | 6% | 3% | 7% | 7% |
| 16 | Apache Supersetyou | 4% | 5% | 2% | 5% |
Snowflake is 3 answers ahead of you, Databox level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Apache Superset when they named it, word for word, from the October 2026 answers.
…BI suite: Platform Best fit Open-source angle Main trade-off Apache Superset Technical/data teams Apache 2.0 More engineering/admin effort Metabase Business self-service Open-source edition;…
It's genuinely open source under Apache 2.0, supports both a no-code chart builder and a powerful SQL environment, and can connect to virtually any SQL-speaking database.
It also has 40+ built-in visualisations and an extensibility/API layer.
AI states 17 facts about Apache Superset
In the October 2026 answers, AI describes your company in 17 statements: 13 about the service, 2 about ownership, 1 about prices and 1 about history.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 17 in Findrix →What to do with this report
Get named where you are not
Apache Superset appeared in 3 of the 60 buyer questions. Findrix runs the other 57 for you and shows who AI names there instead, and which sites got them the spot.
Fix what AI gets wrong
AI states 17 facts about Apache Superset. Findrix puts each one next to your own facts and writes the correction email for you to send.
Watch it move
In your inbox: a report after every scan and a monthly PDF for your team. An email when a fix worked or a rival overtakes you, and right away if your site blocks AI bots or goes down.
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