Data clean rooms · RankedLiveRamp Clean Room
LiveRamp Clean Room is a data clean room from LiveRamp for marketing and advertising teams · liveramp.com ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
AWS Clean Rooms is first at 19%.
Snowflake Data Clean Rooms is first at 27%. 0 of 14 models made it the first choice when asked directly.
Snowflake Data Clean Rooms is first at 52%.
Why models recommend it
“LiveRamp and OneTrust are the top recommendations due to their strong privacy safeguards, scalability, and industry adoption”Mistral Small · Paraphrase question · first choice
“Top Recommendation: LiveRamp ... It is the industry standard for identity resolution and secure data exchange.”Qwen 3.7 Flash · Paraphrase question · first choice
“For broad collaboration across ecosystems: LiveRamp or InfoSum.”Grok 4.20 · Comparative question · first choice
“If you need to resolve disjointed identities across multiple retailers or publishers: Choose an identity-centric provider like LiveRamp.”Gemini 3.5 Flash · Comparative question · alternative
What gives them pause
“Avoid Standalone SaaS Clean Rooms Initially... the $50k–$100k+ annual licensing fee for neutral enterprise tools (e.g., LiveRamp, InfoSum) won't deliver a positive ROI.”Gemini 3.5 Flash · Budget-constrained question · warning
“What to Avoid - LiveRamp / Snowflake Data Clean Rooms: These are powerful but enterprise-grade in pricing and complexity.”DeepSeek V4 Flash · Paraphrase question · warning
“Why Avoid Traditional Vendors Right Now? ... these are likely out of budget for a limited-fund operation.”Qwen 3.7 Flash · Budget-constrained question · warning
“Avoid enterprise platforms initially: Skip InfoSum, Habu, or LiveRamp (which range from $50K–$500K/year)”DeepSeek V4 Flash · Budget-constrained question · warning
Also on the shortlist
The products named in the same answers as LiveRamp Clean Room, over the 101 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 90 | 32 | Compare → | |
| 78 | 16 | Compare → | |
| 68 | 3 | Compare → | |
| 58 | 8 | Compare → | |
| 45 | 8 | Compare → | |
| 43 | 2 | View → | |
| 41 | 2 | Compare → | |
| 36 | 0 | View → | |
| 30 | 3 | Compare → | |
| 15 | 1 | View → |
What the models named instead of LiveRamp Clean Room →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on LiveRamp Clean Room's own site, not checked by Gane.
- Headquarters
- San Francisco, United States
- Founded
- 2011
- Also from LiveRamp
- LiveRamp Clean Rooms, LiveRamp Safe Haven
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 89 of the 101 answers that named LiveRamp Clean Room and are not a share of its labels.
Domains cited
251 of the 338 domain citations in answers naming LiveRamp Clean Room came from a third party's page. Thirty-seven were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 1 | 3 |
| Perplexity Sonar | 0 | 2 | 0 | 1 | 3 |
| Grok 4.20 | 1 | 1 | 1 | 1 | 4 |
| Mistral Small | 1 | 1 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 3 | 5 |
| Llama 4 Maverick | 0 | 0 | 0 | 1 | 1 |
| Qwen 3.7 Flash | 1 | 1 | 1 | 1 | 4 |
| Kimi K2 | 0 | 1 | 2 | 2 | 5 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 1 | 1 | 2 |