# InfoSum vs Google Ads Data Hub: which do AI models recommend for data clean rooms, October 2026

GTM AI Recommendation Index, October 2026 Edition, Data clean rooms. One of fourteen models named InfoSum first on the direct prompt; zero named Google Ads Data Hub. Page: https://gtm-ai-index.com/gtm-data/data-clean-rooms/infosum-vs-google-ads-data-hub/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| InfoSum | 10% | #4 of 10 | 23% | 39 | 14 of 14 |
| Google Ads Data Hub | 10% | #5 of 10 | 18% | 28 | 12 of 14 |

## The direct prompt, model by model

- Mistral Small: infosum first (first choices: InfoSum) (alternatives: Decentriq, Habu, LiveRamp Clean Room)
- Gemini 3.5 Flash: neither first, one named (first choices: Crossbeam) (alternatives: Amazon Marketing Cloud, Google Ads Data Hub, Salesforce Data Cloud DCR, Snowflake Data Clean Rooms)
- Perplexity Sonar: neither first, one named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, InfoSum, LiveRamp Clean Room)
- Grok 4.1 Fast: neither first, one named (first choices: AWS Clean Rooms, Snowflake Data Clean Rooms) (alternatives: Decentriq, InfoSum, LiveRamp Clean Room)
- GLM 4.7 FlashX: neither first, one named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, LiveRamp Relate)
- Muse Glimmer 30B: neither first, one named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, LiveRamp Data Collaboration Platform powered by Habu)
- Claude Haiku 4.5: neither named (first choices: Databricks Clean Rooms, LiveRamp Safe Haven, Snowflake Data Clean Rooms) (alternatives: Apollo.io)
- GPT-5.4 mini: neither named (first choices: AWS Clean Rooms) (alternatives: Acxiom, Databricks Clean Rooms, Snowflake Data Clean Rooms)
- DeepSeek V4 Flash: neither named (first choices: Optable) (alternatives: AWS Clean Rooms, Snowflake Data Clean Rooms)
- Llama 4 Maverick: neither named (first choices: Amazon Marketing Cloud)
- Qwen 3.7 Flash: neither named (first choices: LiveRamp Clean Room) (alternatives: Google Ads, Meta Advanced Analytics, Snowflake Data Clean Rooms, The Trade Desk)
- Kimi K2: neither named (first choices: Optable) (alternatives: Habu, Snowflake Data Clean Rooms)
- MiniMax M2.5: neither named (first choices: Amazon Marketing Cloud) (alternatives: Deciq)
- GPT-6 Luna: neither named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, BigQuery Data Clean Rooms, LiveRamp Clean Room)

## What the models said about InfoSum

- "Avoid enterprise SaaS (e.g., LiveRamp, InfoSum) at $500+/month unless trialing." (Grok 4.1 Fast, budget prompt, hard negative)
- "pricing and complexity are often overkill for mid-market needs" (DeepSeek V4 Flash, direct prompt, hard negative)
- "like LiveRamp (Habu), InfoSum, or Decentriq is rarely feasible, as licensing fees for these platforms often run in the tens or hundreds of thousands of dollars annually" (Gemini 3.5 Flash, budget prompt, soft negative)
- "InfoSum – Praised for its flexible collaboration capabilities and suitability for mid-market needs, without requiring enterprise-scale resources." (Mistral Small, direct prompt, first choice)
- "I would recommend InfoSum as a privacy-safe data collaboration platform for a mid-sized B2B company." (Llama 4 Maverick, paraphrase prompt, first choice)
- "I would recommend InfoSum if your priority is privacy-safe data collaboration with partners" (Perplexity Sonar, paraphrase prompt, first choice)

## What the models said about Google Ads Data Hub

- "Platform-owned environments such as Google Ads Data Hub, Amazon Marketing Cloud and Meta’s PET-based collaborations are widely adopted but raise lock-in, portability and conflict-of-interest questions." (Muse Glimmer 30B, negative prompt, soft negative)
- "Google Ads Data Hub and Amazon Marketing Cloud can be useful for analysis within their respective ecosystems, but don’t assume they provide a neutral view across all media." (GPT-6 Luna, negative prompt, soft negative)
- "Walled garden DCRs are incredibly powerful, but only within their own ecosystems. They are plagued by severe vendor lock-in." (Gemini 3.5 Flash, negative prompt, soft negative)
- "Crawl (The Low-Risk Start): Start with walled gardens. If 60% of your ad budget goes to Google or Amazon, set up Google Ads Data Hub or Amazon Marketing Cloud." (Gemini 3.5 Flash, scale prompt, first choice)
- "start with the free walled-garden options (Google, Amazon, Meta) depending on where you advertise most" (MiniMax M2.5, budget prompt, first choice)
- "If ad-focused, begin with free walled-garden DCRs (AMC/Google)—they solve 80% of needs without spend." (Grok 4.1 Fast, budget prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.