# Rockerbox vs Google Meridian: which do AI models recommend for Attribution & MMM, October 2026

GTM AI Recommendation Index, October 2026 Edition, Attribution and marketing mix modeling. Three of fourteen models named Rockerbox first on the direct prompt; zero named Google Meridian. Page: https://gtm-ai-index.com/marketing/attribution-mmm/rockerbox-vs-google-meridian/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Rockerbox | 11% | #3 of 17 | 14% | 29 | 10 of 14 |
| Google Meridian | 5% | #4 of 17 | 12% | 34 | 13 of 14 |

## The direct prompt, model by model

- DeepSeek V4 Flash: rockerbox first (first choices: Dreamdata, Rockerbox) (alternatives: HockeyStack, Marketing Evolution, Measured)
- Llama 4 Maverick: rockerbox first (first choices: Rockerbox) (alternatives: Attribution, Dreamdata, Northbeam)
- Qwen 3.7 Flash: rockerbox first (first choices: Rockerbox) (alternatives: Dreamdata)
- Claude Haiku 4.5: neither first, one named (first choices: Dreamdata, HockeyStack) (alternatives: CaliberMind, HubSpot Marketing Hub, Rockerbox, SegmentStream)
- Grok 4.1 Fast: neither first, one named (first choices: Dreamdata) (alternatives: Factors.ai, HockeyStack, Rockerbox)
- Kimi K2: neither first, one named (first choices: Dreamdata) (alternatives: Factors.ai, Recast, Rockerbox)
- GLM 4.7 FlashX: neither first, one named (first choices: Dreamdata) (alternatives: Cometly, HubSpot Marketing Hub, Keen Decision Systems, Rockerbox, Ruler Analytics)
- Muse Glimmer 30B: neither first, one named (first choices: Dreamdata) (alternatives: Admetrics, Adobe Marketo Measure, HockeyStack, Rockerbox)
- GPT-5.4 mini: neither named (first choices: Dreamdata) (alternatives: HockeyStack, Measured)
- Gemini 3.5 Flash: neither named (first choices: CaliberMind) (alternatives: Dreamdata, HockeyStack, RevSure, SegmentStream)
- Perplexity Sonar: neither named (first choices: Dreamdata) (alternatives: HockeyStack, Improvado, SegmentStream)
- Mistral Small: neither named (first choices: Dreamdata, MixModeler) (alternatives: Northbeam)
- MiniMax M2.5: neither named (first choices: HockeyStack, Marketing Evolution) (alternatives: Adobe Marketo Measure, Dreamdata)
- GPT-6 Luna: neither named (first choices: HockeyStack) (alternatives: Dreamdata, Paramark)

## What the models said about Rockerbox

- "Be very cautious with Rockerbox unless you have a full-time developer and accept biased reporting and data reconciliation issues." (DeepSeek V4 Flash, negative prompt, soft negative)
- "Tools like LeadsRx or Rockerbox require heavy data prep; poor support or limited APIs lead to frustration." (Grok 4.1 Fast, negative prompt, soft negative)
- "platforms (like Recast, Measured, or Rockerbox) routinely cost upwards of $50,000 to $150,000+ per year" (Gemini 3.5 Flash, budget prompt, soft negative)
- "The best marketing attribution and marketing mix modeling platform for a mid-market B2B company is Rockerbox" (Llama 4 Maverick, direct prompt, first choice)
- "paired with Rockerbox or Google's Meridian (open-source MMM) for marketing mix modeling (MMM)" (Grok 4.1 Fast, paraphrase prompt, first choice)
- "most mid-market B2B teams start with Rockerbox for the MTA+MMM combo to avoid two vendors" (Muse Glimmer 30B, paraphrase prompt, first choice)

## What the models said about Google Meridian

- "Free, open-source libraries like Google Meridian or Meta Robyn require dedicated data scientists... a SaaS platform with a managed service component is almost always the right choice" (Gemini 3.5 Flash, scale prompt, soft negative)
- "Mid-market companies rarely have full-time data scientists to manage open-source MMM code (like Google Meridian or Meta Robyn)" (Gemini 3.5 Flash, direct prompt, soft negative)
- "Google Meridian if you lack data or modeling support. Meridian is open source, not a turnkey measurement service." (GPT-6 Luna, negative prompt, soft negative)
- "open-source MMM tools like Meta's Robyn or Google's Meridian are increasingly attractive due to their transparency and cost-effectiveness" (Mistral Small, negative prompt, first choice)
- "Open-source Bayesian MMM, native Google Ads integration... Successor to LightweightMMM; free, transparent code" (GLM 4.7 FlashX, comparative prompt, first choice)
- "Google's Meridian is a Bayesian MMM framework released openly for anyone to use—no licensing fees." (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.