Snowflake: AI visibility in the Retailtech ranking
Indicative comparison across different industries: these companies do not answer the same questions and are not all direct competitors. Not a representative market study.
Data platforms · 10 answers · GPT-6 Luna (OpenAI) · 21/10/2026.
Metrics for this measurement
Back to the Retailtech overview · Methodology
| Metric | Value |
|---|---|
| Indicative rank within the fixed selection | 15 |
| Visibility Score (0–100) | 26.1 |
| Mention rate | 70.0% (7 of 10 answers) |
| Average position when mentioned | 2.3 |
| Share of Voice within this category | 15.9% |
| Positive sentiment among detected mentions | 14.3% |
Position refers to all detected providers in “Data platforms”, not just the 21 companies in the overview. A total of 11 distinct providers were detected in this category.
All ten neutral measurement questions
Each question was asked once in German. The questions below are English translations, not a new English-language measurement. “Not mentioned” is an observed result, not a missing value. The German version contains the original wording.
| Question (translated from German) | Result | Position |
|---|---|---|
| Which data platforms are suitable for analytics in retail? | Mentioned | 3 |
| Which cloud data warehouse providers are suitable for Swiss companies? | Mentioned | 1 |
| Which platforms help bring sales and customer data together? | Not mentioned | – |
| Which data platforms support scalable business intelligence? | Mentioned | 2 |
| Which providers enable secure data sharing between companies? | Not mentioned | – |
| Which data platforms are suitable as a foundation for AI applications? | Mentioned | 3 |
| Which cloud data platforms integrate well with existing BI tools? | Mentioned | 1 |
| Which providers are suitable for modernising a data warehouse? | Mentioned | 3 |
| Which data platforms are suitable for international retail groups? | Mentioned | 3 |
| Which providers support centralised analysis of omnichannel data? | Not mentioned | – |
Scope and name variants
The category studied is “Data platforms”, not the company’s entire product portfolio.
Capitalisation of Snowflake is normalised; multiple mentions count only once per answer.
Other brands belonging to a group are not automatically attributed to the company. In particular, Götti and AKN Group remain separate. Product or subsidiary brand names without the target company’s name do not count as mentions of that company.