# LiveRamp Clean Room: how AI models rank it, October 2026

GTM AI Recommendation Index, October 2026 Edition. Named in 37 judge labels across 1 categories by 14 of 14 models. Page: https://gtm-ai-index.com/vendors/liveramp-clean-room/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Data clean rooms | 2% | 13 | 32% | 37 |

## What the models said for it

- "Choose LiveRamp if you need to activate audiences across the entire internet ... using a single unified identity graph (RampID)" (GLM 4.7 FlashX, Data clean rooms)
- "Independent Clean Rooms like LiveRamp and Snowflake provide the necessary breadth and flexibility" (Qwen 3.7 Flash, Data clean rooms)
- "LiveRamp is usually the correct investment." (Qwen 3.7 Flash, Data clean rooms)
- "More purpose-built for identity, media, activation, and measuring campaigns against CRM or pipeline data—but validate the commercial terms" (GPT-6 Luna, Data clean rooms)

## And against it

- "What to Avoid as a Mid-Market B2B - LiveRamp / Habu: Enterprise-grade, with the average enterprise setup running around $879K" (DeepSeek V4 Flash, Data clean rooms)
- "What to Avoid on a Limited Budget ... Enterprise-focused; no public pricing, typically six to seven figures annually" (Kimi K2, Data clean rooms)
- "Avoid enterprise SaaS (e.g., LiveRamp, InfoSum) at $500+/month unless trialing." (Grok 4.1 Fast, Data clean rooms)
- "Users report platform performance issues (freezes, slow loading)
- Complex setup with steep learning curve and proprietary terminology" (Kimi K2, Data clean rooms)

## The company

LiveRamp; http://www.liveramp.com/; San Francisco, United States; founded 2011; public, RAMP on New York Stock Exchange. From Wikidata, fetched 2026-09-14.

## 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, October 2026 Edition, gtm-ai-index.com.