AI Rankings · ai and machine learning platforms · Australia
Hugging Face Inference Endpoints, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for AI and machine learning platforms, Hugging Face Inference Endpoints came up in 2 of 180 answers. That puts it #91 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 | #91of 315 | 1% | 100% | 4.5 | 2 of 60 |
 ChatGPT | 0 of 60 | ||||
 Gemini | #73of 147 | 2% | 100% | 5.0 | 1 of 60 |
 Google AI Mode | #65of 127 | 2% | 100% | 4.0 | 1 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 Azure60 answers ahead of you | 36% | 32% | 38% | 33% |
| 88 | Granicuslevel with you | 1% | 2% | 2% | |
| 89 | Habeaslevel with you | 1% | 2% | 2% | |
| 90 | Hawk AIlevel with you | 1% | 3% | ||
| 91 | Hugging Face Inference Endpointsyou | 1% | 2% | 2% |
Hawk AI is level with you, Infoveave level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Hugging Face Inference Endpoints when they named it, word for word, from the October 2026 answers.
Hugging Face Inference Endpoints: If you are deploying open-source or custom models (PyTorch, transformers, diffusers), Hugging Face lets you spin up dedicated, auto-scaling production endpoints…
Hugging Face lets you spin up dedicated, auto-scaling production endpoints with a single click.
While fundamentally an open-source community hub, it acts as a platform where you can test thousands of machine learning models via browser-based spaces or free-tier API endpoints before deploying them into your own Australian infrastructure.
AI states 2 facts about Hugging Face Inference Endpoints
In the October 2026 answers, AI describes your company in 2 statements: 2 about the service.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 2 in Findrix →What to do with this report
Get named where you are not
Hugging Face Inference Endpoints 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 2 facts about Hugging Face Inference Endpoints. 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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