AI Rankings · ai and machine learning platforms · Australia
Stripe Radar, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for AI and machine learning platforms, Stripe Radar came up in 4 of 180 answers. That puts it #29 of the 315 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 | #29of 315 | 2% | 100% | 4.0 | 2 of 60 |
 ChatGPT | #17of 169 | 3% | 100% | 5.5 | 2 of 60 |
 Gemini | #27of 147 | 3% | 100% | 2.5 | 2 of 60 |
 Google AI Mode | 0 of 60 |
Microsoft Azure 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 | Microsoft Azure58 answers ahead of you | 36% | 32% | 38% | 33% |
| 26 | NEXTDClevel with you | 2% | 3% | 3% | |
| 27 | Pawseylevel with you | 2% | 2% | 3% | 2% |
| 28 | Sharon AIlevel with you | 2% | 2% | 3% | 2% |
| 29 | Stripe Radaryou | 2% | 3% | 3% |
Sharon AI is level with you, Team 400 level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Stripe Radar when they named it, word for word, from the October 2026 answers.
…merchants Excellent Good Great identity/network intelligence Stripe Radar Fintech already using Stripe Excellent Excellent Easiest to deploy, less ideal as your strategic risk engine 1
Stripe says Radar's models are trained on 70+ trillion data points and that its risk intelligence can now be accessed through APIs even when Stripe isn't your processor.
Built natively into Stripe, Radar uses machine learning trained on global data networks (processing billions of data points) to assign risk scores to card transactions instantly.
AI states 6 facts about Stripe Radar
In the October 2026 answers, AI describes your company in 6 statements: 6 about the service.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 6 in Findrix →What to do with this report
Get named where you are not
Stripe Radar appeared in 2 of the 60 buyer questions. Findrix runs the other 58 for you and shows who AI names there instead, and which sites got them the spot.
Fix what AI gets wrong
AI states 6 facts about Stripe Radar. 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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