# Eppo: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 8 judge labels across 1 categories by 6 of 12 models. Page: https://gtm-ai-index.com/vendors/eppo/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Experimentation and personalization | 0% | 19 | 12% | 8 |

## What the models said for it

- "Statsig / Eppo / GrowthBook — developer-first, warehouse-native" (DeepSeek V4 Flash, Experimentation)
- "Strict warehouse-native analytics engineering → Eppo" (DeepSeek V4 Flash, Experimentation)
- "Eppo - Modern experimentation platform with proper holdouts" (Mistral Small, Experimentation)
- "opt for warehouse-native tools like GrowthBook or Eppo" (Gemini 3.5 Flash, Experimentation)

## And against it

- "No free tier ($15K–$87K/year); requires mature data team; overkill for smaller teams" (Kimi K2, Experimentation)

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.