# Amazon Marketing Cloud 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. Two of fourteen models named Amazon Marketing Cloud first on the direct prompt; zero named Google Ads Data Hub. Page: https://gtm-ai-index.com/gtm-data/data-clean-rooms/amazon-marketing-cloud-vs-google-ads-data-hub/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Amazon Marketing Cloud | 14% | #3 of 10 | 17% | 24 | 12 of 14 |
| Google Ads Data Hub | 10% | #5 of 10 | 18% | 28 | 12 of 14 |

## The direct prompt, model by model

- Llama 4 Maverick: amazon marketing cloud first (first choices: Amazon Marketing Cloud)
- MiniMax M2.5: amazon marketing cloud first (first choices: Amazon Marketing Cloud) (alternatives: Deciq)
- 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)
- 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)
- Perplexity Sonar: neither named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, InfoSum, LiveRamp Clean Room)
- Grok 4.1 Fast: neither named (first choices: AWS Clean Rooms, Snowflake Data Clean Rooms) (alternatives: Decentriq, InfoSum, LiveRamp Clean Room)
- Mistral Small: neither named (first choices: InfoSum) (alternatives: Decentriq, Habu, LiveRamp Clean Room)
- DeepSeek V4 Flash: neither named (first choices: Optable) (alternatives: AWS Clean Rooms, Snowflake Data Clean Rooms)
- 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)
- 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 Amazon Marketing Cloud

- "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)
- "Walled Garden Clean Rooms (Google, Meta, Amazon) ... Why to be cautious: Vendor lock-in" (DeepSeek V4 Flash, negative prompt, soft negative)
- "Amazon documents a 100-distinct-user threshold for certain first-party data analyses." (GPT-6 Luna, negative prompt, soft negative)
- "Amazon Marketing Cloud (AMC) seems particularly relevant if your company has significant Amazon advertising presence... it could be an accessible option for mid-market companies" (MiniMax M2.5, direct prompt, first choice)
- "set up Google Ads Data Hub or Amazon Marketing Cloud. It will teach your team how to work with clean room query logic without costing you a massive licensing fee." (Gemini 3.5 Flash, scale 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)

## 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.