Two of twelve models named Recast first on the direct prompt; zero named Google Meridian. Recast was named by ten of the twelve models and Google Meridian by eleven and Recast carries 35 labels and Google Meridian 36, so the shares are not directly comparable.
Named in one category this edition.
By Google Search, United States, founded 1997. Named in one category this edition.
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; every quote names the model and the prompt it came from. Both figures come from the attribution and marketing mix modeling page.
Across every category in the September 2026 Edition, Recast and Google Meridian were named in the same answer fifty-nine times, of the 79 answers naming Recast and the 92 naming Google Meridian. In those answers Google Meridian took the first choice three times and Recast seven.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Far too expensive for limited budgets” DeepSeek V4 Flash · budget prompt · hard negative
“Built for Statisticians, Not Marketers ... Requires a data scientist to translate Bayesian posteriors” Kimi K2 · negative prompt · soft negative
“Recast/Funnel are solid but more digital-heavy/enterprise (~$50K+)” Grok 4.1 Fast · paraphrase prompt · soft negative
“You likely want to focus on Tier 2 (SaaS-Enabled UMM): Recast, Measured, Lifesight, Mutinex, LiftLab, Haus” Gemini 3.5 Flash · scale prompt · first choice
“Recast and Measured being more suitable for mid-market digital teams and enterprises, respectively” Llama 4 Maverick · scale prompt · first choice
“Recast is the standout — transparent Bayesian models, weekly refreshes, and a fast setup” DeepSeek V4 Flash · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“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
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.