Habu
Gane, the publisher, sells software in Attribution & MMM, where this product is measured. It is measured there by the same method as every other product. How the conflict is handled.
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
“If advertising/marketing is core to your business, look seriously at LiveRamp/Habu for network scale and activation capabilities”DeepSeek V4 Flash · Scale-constrained question · alternative
“If partner cross-cloud compatibility or non-technical user access becomes a major bottleneck, evaluate Habu.”Gemini 3.5 Flash · Direct question · alternative
“Cloud-agnostic, runs on Snowflake (and other clouds), strong automation of privacy governance”DeepSeek V4 Flash · Comparative question · alternative
“Choose Habu if your focus is marketing and advertising workflows with partner activation.”MiniMax M2.5 · 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
“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
“Skip InfoSum, Habu, or LiveRamp (which range from $50K–$500K/year)”DeepSeek V4 Flash · Budget-constrained question · warning
“these are often more enterprise-oriented and may be less budget-friendly depending on scope and contracts”GPT-5.4 mini · Budget-constrained question · warning
Also on the shortlist
The products named in the same answers as Habu, over the 61 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 51 | 13 | View → | |
| 51 | 1 | View → | |
| 47 | 11 | View → | |
| 39 | 6 | View → | |
| 36 | 2 | View → | |
| 29 | 7 | View → | |
| 24 | 2 | View → | |
| 24 | 2 | View → | |
| 18 | 0 | View → | |
| 11 | 1 | View → |
What the models named instead of Habu →
A side-by-side page exists where both products are among a category's top eight.
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 52 of the 61 answers that named Habu and are not a share of its labels.
Domains cited
No domain is on file for Habu, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 3 | 0 | 1 | 4 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 2 | 2 | 1 | 5 |
| Mistral Small | 0 | 0 | 3 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 3 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |