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AI Rankings · ai and machine learning platforms · Australia

H2O.ai, according to AI (October 2026)

h2o.ai

When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for AI and machine learning platforms, H2O.ai came up in 5 of 180 answers. That puts it #18 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.

EngineRankMention rateRecommendation rateAverage positionQuestions you appear in
All 3 engines#18of 3153%100%3.45 of 60
ChatGPT#15of 1693%100%4.52 of 60
Gemini#38of 1472%100%1.01 of 60
Google AI Mode#19of 1273%100%3.52 of 60

ChatGPT names H2O.ai most often, Gemini least. 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.

RankcompanyMention rateChatGPTGeminiGoogle AI Mode
1Microsoft Azure57 answers ahead of you36%32%38%33%
15Zapier2 answers ahead of you4%7%5%
16Comet ML1 answer ahead of you3%2%3%5%
17Amazelevel with you3%3%3%2%
18H2O.aiyou3%3%2%3%

Amaze is level with you, Macquarie Cloud Services level with you.

See, question by question, who took the spot →

In AI’s own words

How the engines described H2O.ai when they named it, word for word, from the October 2026 answers.

…and inference endpoints without leaving your cloud footprint: H2O.ai (H2O Hydrogen Torch / Enterprise AI): Widely used by Australian enterprises, offering flexible deployment models that sit on…

Gemini

Widely used by Australian enterprises, offering flexible deployment models that sit on top of existing cloud setups.

Gemini

H2O MLOps is particularly relevant: it supports accuracy and drift thresholds, alerts, and automatic retraining triggers.

ChatGPT

AI states 4 facts about H2O.ai

In the October 2026 answers, AI describes your company in 4 statements: 4 about the service.

Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.

Check all 4 in Findrix →

What to do with this report

  1. Get named where you are not

    H2O.ai appeared in 5 of the 60 buyer questions. Findrix runs the other 55 for you and shows who AI names there instead, and which sites got them the spot.

  2. Fix what AI gets wrong

    AI states 4 facts about H2O.ai. Findrix puts each one next to your own facts and writes the correction email for you to send.

  3. 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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