Which AI & MLOps platforms brands does AI recommend?
ChatGPT, Gemini and Claude are the new discovery channel. Every week we measure which brands they name in this category.
- AI responses analysed
- 305,887
- models queried
- 3
- latest snapshot
- 12 Oct
Showing AI & MLOps platforms in Global.
Brands AI names when someone asks about AI and MLOps platforms to build and deploy models.
The ranking reflects those questions, not the industry as a whole.
Share of voice
How AI & MLOps platforms mentions are split in Global.
- Hugging Face9.0% share of voice, 12 mentions
- AWS6.0% share of voice, 8 mentions
- Cohere5.2% share of voice, 7 mentions
- Google Cloud AutoML5.2% share of voice, 7 mentions
- Amazon SageMaker4.5% share of voice, 6 mentions
- Other brands70.1% share of voice, 94 mentions
Out of 134 verified brand mentions in this snapshot.
Industry leader
Hugging Face
AI & MLOps platforms · Global
Share of voice
9.0%
Mentions
12
vs previous
up 6
25% of its mentions appear in a favourable context.
Podium by model
The three models get the same questions. Where they differ is where the opportunity is.
ChatGPT
- Amazon SageMaker3 mentions
- DataRobot3 mentions
- Google Cloud AutoML3 mentions
Gemini
- Hugging Face7 mentions
- AWS5 mentions
- Cohere4 mentions
Claude
- Hugging Face3 mentions
Top 5 trend
Share of voice across the weekly snapshots.
View the series as a table
| Brand | 16 Mar | 23 Mar | 30 Mar | 6 Apr | 20 Apr | 4 May | 18 May | 1 Jun | 8 Jun | 15 Jun | 22 Jun | 29 Jun | 6 Jul | 13 Jul | 20 Jul | 27 Jul | 3 Aug | 10 Aug | 17 Aug | 24 Aug | 31 Aug | 7 Sept | 14 Sept | 21 Sept | 28 Sept | 5 Oct |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hugging Face | no scan | 1.4% | 2.5% | 2.2% | no scan | no scan | 4.9% | no scan | 3.0% | 3.6% | 10.3% | 2.7% | 3.9% | no scan | 2.8% | 9.1% | no scan | 6.3% | no scan | 3.0% | 9.9% | 5.5% | 2.6% | 9.3% | 2.2% | 9.0% |
| AWS | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | 6.0% |
| Cohere | no scan | no scan | no scan | no scan | no scan | no scan | 2.4% | no scan | no scan | no scan | 6.0% | no scan | no scan | no scan | no scan | 2.5% | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | no scan | 5.2% |
| Google Cloud AutoML | 2.8% | 2.8% | 3.0% | 2.8% | 1.6% | 2.6% | no scan | 2.1% | 5.5% | no scan | 5.2% | 5.4% | 4.2% | no scan | 4.8% | 5.8% | no scan | 5.8% | 2.1% | 5.2% | 6.9% | 3.6% | 5.9% | 5.3% | 3.6% | 5.2% |
| Amazon SageMaker | 7.6% | 7.8% | 7.4% | 6.6% | 8.9% | 12.0% | 8.5% | 16.8% | 6.1% | 3.6% | 9.5% | 11.4% | 10.9% | 15.2% | 6.3% | 3.3% | 10.4% | 5.0% | 18.1% | 6.7% | 10.9% | no scan | 13.5% | 8.0% | 8.0% | 4.5% |
Full ranking
| # | Brand | Share | Mentions | Positive tone Percentage of mentions in a favourable context | vs previous |
|---|---|---|---|---|---|
| 1 | 9.0% | 12 | 25% | up 6 | |
| 2 | 6.0% | 8 | 50% | new | |
| 3 | 5.2% | 7 | 29% | new | |
| 4 | 5.2% | 7 | 0% | up 1 | |
| 5 | 4.5% | 6 | 33% | down 4 |
new: was not in the previous snapshot's ranking. no data: it moved, but on too few mentions to measure with confidence. Neither means the brand held still.
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Movements between the last two snapshots in Global, across every published industry.
Biggest risers
- ActiveCampaignBusiness software (CRM & B2B SaaS) · rank 10 → 4+6
- CourseraE-learning & course platforms (LMS) · rank 8 → 2+6
- MailchimpBusiness software (CRM & B2B SaaS) · rank 9 → 5+4
- CanvasE-learning & course platforms (LMS) · rank 5 → 1+4
- SlackBusiness software (CRM & B2B SaaS) · rank 6 → 3+3
Biggest fallers
- PipedriveBusiness software (CRM & B2B SaaS) · rank 4 → 9-5
- AsanaBusiness software (CRM & B2B SaaS) · rank 5 → 10-5
- XeroBusiness software (CRM & B2B SaaS) · rank 7 → 11-4
- TalentLMSE-learning & course platforms (LMS) · rank 1 → 4-3
- ThinkificE-learning & course platforms (LMS) · rank 2 → 5-3
How these numbers are built: methodology