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AI Rankings · ai and machine learning platforms · Australia

AWS, according to AI (October 2026)

amazon.com

When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for AI and machine learning platforms, AWS came up in 48 of 180 answers. That puts it #2 of the 315 companies AI named in Australia.

In 40 of those 48 answers AI recommended it. In the other 8 it only mentioned 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#2of 31527%83%3.228 of 60
ChatGPT#3of 16922%Most recommended77%4.213 of 60
Gemini#2of 14732%Most recommended89%3.419 of 60
Google AI Mode#2of 12727%Most recommended81%2.616 of 60

Gemini names AWS most often, ChatGPT least. Microsoft Azure leads on all 3 engines.

Named instead of you

Those named above you, you, and the three named right below you. Share of answers that name each one, overall and on each engine.

RankcompanyMention rateChatGPTGeminiGoogle AI Mode
1Microsoft Azure14 answers ahead of you36%32%38%33%
2AWSyou27%22%32%27%
3Google Cloudlevel with you27%23%30%27%
4Databricks12 answers behind you20%17%27%17%
5OpenAI29 answers behind you11%10%12%10%

Microsoft Azure is 14 answers ahead of you, Google Cloud level with you, Databricks 12 behind.

See, question by question, who took the spot →

In AI’s own words

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

For a 150-person Australian software company, I ’d shortlist Databricks, AWS SageMaker, Azure ML/AI Foundry, Google Vertex AI, and Dataiku

ChatGPT

AWS SageMaker — excellent end-to-end MLOps; particularly compelling if you're already on AWS.

ChatGPT

Many Australian banks (such as CBA, NAB, Westpac, and ANZ) also build bespoke machine learning models on top of hyper-scale cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), often integrating specialized MLOps tools like Databricks or Dataiku for collaborative model development.

Gemini

AI states 53 facts about AWS

In the October 2026 answers, AI describes your company in 53 statements: 43 about the service, 5 about other things and 5 about prices.

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

Check all 53 in Findrix →

Your “Top 3 in AI answers” badge

ChatGPT, Gemini and Google AI Mode put AWS in their top 3 for Australia. That earns the badge for your website: it names the engine, links to the ranking and updates itself.

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What to do with this report

  1. Get named where you are not

    AWS appeared in 28 of the 60 buyer questions. Findrix runs the other 32 for you and shows who AI names there instead, and which sites got them the spot.

  2. Fix what AI gets wrong

    AI states 53 facts about AWS. 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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