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

GTM AI Recommendation Index, September 2026 Edition, Attribution and marketing mix modeling. Zero of twelve models named Google Meridian first on the direct prompt; one named CaliberMind. Page: https://gtm-ai-index.com/marketing/attribution-mmm/google-meridian-vs-calibermind/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Google Meridian | 3% | #7 of 22 | 25% | 36 | 11 of 12 |
| CaliberMind | 3% | #8 of 22 | 0% | 10 | 7 of 12 |

## The direct prompt, model by model

- Gemini 3.5 Flash: calibermind first (first choices: CaliberMind) (alternatives: Dreamdata, HockeyStack, RevSure)
- Claude Haiku 4.5: neither first, one named (first choices: Dreamdata) (alternatives: CaliberMind, HubSpot Marketing Hub, Northbeam)
- GPT-5.4 mini: neither first, one named (first choices: Dreamdata) (alternatives: Adobe Marketo Measure, CaliberMind, MixModeler)
- Perplexity Sonar: neither named (first choices: Dreamdata) (alternatives: Factors.ai, HockeyStack)
- Grok 4.1 Fast: neither named (first choices: Dreamdata) (alternatives: HockeyStack, Recast, RevSure)
- Mistral Small: neither named (first choices: Dreamdata, Recast) (alternatives: Cometly, HockeyStack, Improvado, Measured, MixModeler, Ruler Analytics)
- DeepSeek V4 Flash: neither named (first choices: Dreamdata, HockeyStack, Rockerbox) (alternatives: Improvado, Recast, Ruler Analytics, SegmentStream, Sellforte)
- Llama 4 Maverick: neither named (first choices: Improvado) (alternatives: Dreamdata, Rockerbox)
- Qwen 3.7 Flash: neither named (first choices: Rockerbox) (alternatives: Alviss AI, Recast)
- Kimi K2: neither named (first choices: Dreamdata) (alternatives: Factors.ai, HockeyStack, Recast, Rockerbox)
- GLM 4.7 FlashX: neither named (first choices: Dreamdata, SegmentStream) (alternatives: Heeet, HockeyStack, Lifesight, Measured, MixModeler, Northbeam, Recast, Ruler Analytics)
- MiniMax M2.5: neither named (first choices: Dreamdata, Recast, SegmentStream) (alternatives: Analytic Edge, HubSpot Marketing Hub)

## What the models said about Google Meridian

- "free/open-source (GA4, Google Meridian: lacks B2B depth)" (Grok 4.1 Fast, direct prompt, hard negative)
- "Meridian is statistical infrastructure, not a decision-making product. Requires a dedicated data science team to implement responsibly." (Kimi K2, negative prompt, soft negative)
- "Google has tied internal sales KPIs to Meridian adoption \u2014 account teams are incentivized to push it" (DeepSeek V4 Flash, negative prompt, soft negative)
- "Choose Meta Robyn or Google Meridian if you have basic R/Python skills and want high-end, enterprise-grade MMM completely free." (Gemini 3.5 Flash, budget prompt, first choice)
- "Use PyMC-Marketing or Google Meridian (both free)" (DeepSeek V4 Flash, budget prompt, first choice)
- "open-source (Google Meridian, Meta Robyn — both free)... Meridian is a genuine modern option if you have Python/PyMC expertise" (DeepSeek V4 Flash, scale prompt, alternative)

## What the models said about CaliberMind

- "CaliberMind is one of the very few platforms that natively unifies bottom-up Multi-Touch Attribution with top-down Marketing Mix Modeling." (Gemini 3.5 Flash, direct prompt, first choice)
- "CaliberMind doesn’t just show MTA and MMM side-by-side; they actively feed into each other." (Gemini 3.5 Flash, paraphrase prompt, first choice)
- "CaliberMind is best for mid-market and enterprise B2B teams with existing data engineering resources" (Claude Haiku 4.5, direct prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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.