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ChatGPT| Source | Share | Links |
|---|---|---|
| learn.microsoft.com | 17% | 46 |
| aws.amazon.com | 13% | 32 |
| docs.aws.amazon.com | 10% | 14 |
| databricks.com | 7% | 4 |
| azure.microsoft.com | 7% | 8 |
| dataiku.com | 5% | 15 |
| digital.gov.au | 5% | 11 |
| oaic.gov.au | 5% | 15 |
| datacom.com | 5% | 10 |
| openai.com | 5% | 13 |
AI Rankings · AI and machine learning platforms · Australia
Best AI and machine learning platforms in Australia, according to AI (October 2026)
We asked ChatGPT, Gemini and Google AI Mode 60 questions a buyer in Australia types when looking for AI and machine learning platforms. The engines named 315 companies in Australia. Microsoft Azure is named most often, in 36% of answers, followed by AWS (27%) and Google Cloud (27%). 26 are named by all three engines.
The full list is below, ranked by how consistently each company is named.
- 60 buyer questions
- 180 answers read
- 3 engines
All 315 companies AI names in Australia
Click a company to open its full report: every answer that names it, where it stands in each one, and the sites behind every rival. Mentioned is the share of answers that name the company: all 180, one engine’s 60 in the engine columns. Green marks that engine’s 3 most recommended. A crossed circle means it never named the company. Click a heading to sort.
Every company AI named in Australia, ranked by how consistently it is named.
3 most recommended. 312 named. The rest not cited.
Not cited by AI? Start here.
See every answer that names a rival instead of you, and the fix for each.
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Where AI gets its answers
Before an engine names a company, it reads the web. These are the sites each engine cited most in its 60 answers for Australia, by the share of answers citing them.
ChatGPT
Gemini| Source | Share | Links |
|---|---|---|
| experteaseai.com | 12% | 25 |
| lightningventures.com.au | 7% | 12 |
| aivy.com.au | 5% | 17 |
| agentyis.com | 5% | 16 |
| oracle.com | 5% | 14 |
| hyetech.com.au | 3% | 4 |
| equifax.com.au | 3% | 3 |
| getaiready.com.au | 3% | 6 |
| awlabs.com.au | 3% | 4 |
| team400.ai | 3% | 6 |
Google AI Mode| Source | Share | Links |
|---|---|---|
| flowworks.com.au | 7% | 8 |
| aws.amazon.com | 7% | 10 |
| getaiready.com.au | 5% | 6 |
| sovereign-au.ai | 5% | 5 |
| aivy.com.au | 5% | 6 |
| azure.microsoft.com | 5% | 8 |
| au.linkedin.com | 5% | 6 |
| customllm.au | 3% | 4 |
| oaic.gov.au | 3% | 3 |
| smarterapps.com.au | 3% | 3 |
One thing stands out. Gemini cites company sites directly: experteaseai.com tops its list, so a company’s own pages decide whether it is named.
What to do with your row
Most recommendedTop 3 on an engine
Open your full report, then take the “Top 3 in AI answers” badge. It names the engine, it links back here, and it is free. Then keep the spot: Findrix tracks all three engines for your company and tells you when a rival moves in.
MentionedNamed, not recommended
Findrix shows you, answer by answer, who took the recommendation instead of you and which sites got them there. Your site becomes a numbered list of edits, and the next scan confirms each one.
Not namedMissing from all 180 answers
Findrix runs your buyers’ questions for your company and shows what AI says instead of you, with every wrong fact and the correction written for you.
Start free trial →Control your AI visibility · 7-day free trial · cancel anytime
What “Top 3 in AI answers” means
A company gets the badge when it is in the top 3 on any single engine, by how many of that engine’s answers recommend it, not just name it. The badge names the engine, so a company can hold it on Gemini and not on ChatGPT. In Australia that is Microsoft Azure, AWS and Google Cloud on ChatGPT. Microsoft Azure, AWS and Google Cloud on Gemini. Microsoft Azure, AWS and Google Cloud on Google AI Mode. 9 badges, 3 companies. A badge holder confirms its website inside the report and puts the badge on its site, and it links back to this page.
The 60 questions we asked
Every company was measured against the same 60 questions, asked the way a buyer types them, with no company name in the question. Grouped by how the question is asked: four kinds.
Use case (the job is named)
1 question
- Can you recommend an ML platform in Australia that lets a midsize product team track model versions and who changed what?
Alternatives (excluding the well-known)
the question asks for options outside the market leaders9 questions
- Besides the big global names, which Australian vendors offer a generative AI platform for law firms?
- Which independent MLOps platform vendors in Australia suit a company running models on its own hardware?
- Outside the big three cloud vendors, which AI model training platform options in Australia rent GPUs by the hour?
+ 6 more questions in this group.
Criterion (price, reviews, support, integration)
a plain category question with one qualifier9 questions
- Our enterprise budget for AI is capped at about $50k a year, which AI platform in Australia gives the most for that?
- We've got 2,000 staff, which generative AI platform in Australia has pricing that won't blow out once everyone starts using it?
- Which generative AI platform in Australia can we use to build a support chatbot trained on our own help articles?
+ 6 more questions in this group.
Other phrasing
41 questions
- We spend hours every week pulling data from different systems into reports, which AI platform in Australia could automate that for our analytics team?
- Our telco's churn model still runs on data someone refreshes by hand, which ML platform in Australia can automate that pipeline?
- What AI and machine learning platforms in Australia work for a 150 person software company with models scattered across laptops and shared drives?
+ 38 more questions in this group.
How we measure
Each of the 60 questions was asked once to ChatGPT, Gemini and Google AI Mode in October 2026: 180 answers. We read every answer and record which companies it names. A company’s share is the part of answers that name it. Different spellings of one company are merged into one row.
Left out: companies outside Australia, and names that aren’t ai and machine learning platforms. A name AI gave without a website we could find is listed without a profile.
One run per question means a single answer moves a company at the bottom of the table by a point. Treat differences of 1 to 2% as noise and the top 20 as stable.
One email when the next run moves this list: who entered, who left, where you stand. No newsletter.
Questions about this ranking
Why isn’t my company listed?
Either no engine named it in the 180 answers we read, or it was named and we could not match it to a website. Search the list above. If it was named, its full report is ready and you can add the website from there. If it was never named, Findrix shows what AI says when buyers ask about AI and machine learning platforms, which rivals it names instead, and a ranked list of fixes: the page, the edit, and the next scan ticks it off. It starts with the 7-day trial.
What is in the full report?
Everything we collected about the company: its position on each of ChatGPT, Gemini and Google AI Mode, recommended or only mentioned, its average position in the answer and what AI says about it word for word. It opens after a quick login, free, for anyone. The “Top 3 in AI answers” badge goes on the company’s site when any engine puts it in its top 3.
Why would I subscribe if I am already listed?
This page is one snapshot. Findrix is where you control and grow your AI visibility over time: your own question set, 60 to 180 questions by plan, tracked for you and your rivals. On every answer you see recommended, only mentioned, or a rival, and which sites earned that rival the spot. Wrong facts come with the correction email written for you. Your site becomes a numbered plan: which page, what to change, confirmed by the next scan. A PDF report for you and your team. It starts with the 7-day trial.
Can I correct or remove my company’s listing?
Use Request a correction at the bottom of the page: we check the change against the answers and fix the listing. Sign in with an email on the company’s domain to open its full report. For anything else, write to us there too and we will look at it against your website.
More AI rankings
Measured in October 2026: 60 questions x 3 engines x 1 run. Request a correction.
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