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

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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Google Meridian | 5% | #4 of 17 | 12% | 34 | 13 of 14 |
| HockeyStack | 5% | #5 of 17 | 7% | 29 | 14 of 14 |

## The direct prompt, model by model

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

## 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)

## What the models said about HockeyStack

- "exited the attribution market in April 2026 ... so it's no longer recommended for attribution-only needs." (Kimi K2, direct prompt, hard negative)
- "Pivoting away from pure attribution; now positioned as a broader GTM AI platform (~$2,200+/month)" (DeepSeek V4 Flash, paraphrase prompt, soft negative)
- "HockeyStack connects marketing activity directly to pipeline and revenue, making it well-suited for B2B SaaS teams with long sales cycles." (Claude Haiku 4.5, direct prompt, first choice)
- "HockeyStack offers better value and faster implementation for mid-market companies." (MiniMax M2.5, direct prompt, first choice)
- "I'd start with HockeyStack—but only if its Enterprise pricing works for you" (GPT-6 Luna, direct 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.