| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data clean rooms | GTM data and infrastructure | 2% | 13 of 100 | 32% | 37 | criticized challenger |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 3 | 4 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 2 | 1 | 3 | 6 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 3 | 5 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 2 | 0 | 1 | 0 | 3 |
| Kimi K2 | 0 | 0 | 0 | 3 | 3 |
| GLM 4.7 FlashX | 1 | 0 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“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 · comparative prompt · first choice
“Independent Clean Rooms like LiveRamp and Snowflake provide the necessary breadth and flexibility” Qwen 3.7 Flash · Data clean rooms · comparative prompt · first choice
“LiveRamp is usually the correct investment.” Qwen 3.7 Flash · Data clean rooms · direct prompt · first choice
“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 · direct prompt · alternative
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“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 · direct prompt · hard negative
“What to Avoid on a Limited Budget ... Enterprise-focused; no public pricing, typically six to seven figures annually” Kimi K2 · Data clean rooms · budget prompt · hard negative
“Avoid enterprise SaaS (e.g., LiveRamp, InfoSum) at $500+/month unless trialing.” Grok 4.1 Fast · Data clean rooms · budget prompt · hard negative
“Users report platform performance issues (freezes, slow loading) - Complex setup with steep learning curve and proprietary terminology” Kimi K2 · Data clean rooms · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 109 of the 112 answers that named LiveRamp Clean Room and are not a share of its labels.
397 of the 456 domain citations in answers naming LiveRamp Clean Room came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when LiveRamp Clean Room's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as LiveRamp Clean Room, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for LiveRamp Clean Room by email, built from the raw record of the edition. It shows: