# Meta Robyn: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 30 judge labels across 1 category by 12 of 14 models. Page: https://www.gane.ai/index/gtm/vendors/meta-robyn

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Attribution and marketing mix modeling](https://www.gane.ai/index/gtm/marketing/attribution-mmm/index.md) | 3% | 7 | 23% | 30 |

## What the models said for it

- "If you have technical capabilities: Use Google Meridian or Meta Robyn." (Gemini 3.5 Flash, Attribution & MMM)
- "start with GA4 + open-source Meridian/Robyn" (Muse Glimmer 30B, Attribution & MMM)
- "Use Google's Meridian or Meta's Robyn (open-source Bayesian MMM) integrated via a data warehouse." (Grok 4.20, Attribution & MMM)
- "If you need MMM capabilities and have technical resources, Meta Robyn offers free open-source access." (Claude Haiku 4.5, Attribution & MMM)

## And against it

- "require significant in-house data science expertise — not practical for most mid-sized teams" (DeepSeek V4 Flash, Attribution & MMM)
- "its attribution counterpart has a 27% negative rate, with users questioning its applicability for cross-channel attribution outside of Meta's ecosystem" (Mistral Small, Attribution & MMM)
- "High rate of negative feedback in buyer analyses (e.g., 67% negative labels); requires data science skills" (Grok 4.20, Attribution & MMM)
- "I wouldn’t reject either just because Google or Meta built it. Both are open-source MMM frameworks" (GPT-6 Luna, Attribution & MMM)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 1 | 1 | 3 | 0 | 5 |
| Perplexity Sonar | 0 | 1 | 0 | 1 | 2 |
| Grok 4.20 | 0 | 2 | 2 | 1 | 5 |
| Mistral Small | 0 | 0 | 1 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 1 | 2 |
| Kimi K2 | 0 | 1 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 1 | 1 | 2 |
| Muse Glimmer 30B | 1 | 0 | 0 | 1 | 2 |

## Sources returned with these answers

The sites and pages cited by the answers that named Meta Robyn, from 82 of the 88 answers that named it (only the models that return a source list).

### Domains cited

- usermaven.com: 38
- aboutmartech.com: 34
- admetrics.io: 30
- improvado.io: 29
- sellforte.com: 29
- cometly.com: 27
- gane.ai/index: 26
- mammoth.io: 23
- segmentstream.com: 23
- measured.com: 22

### Pages cited

- https://admetrics.io/compare/best-marketing-mix-modeling-tools-software: 29
- https://mammoth.io/blog/marketing-attribution-software: 23
- https://segmentstream.com/blog/articles/best-mmm-software-tools: 21
- https://vezadigital.com/post/marketing-attribution-tools: 21
- https://vexpower.com/mmm/marketing-mix-modeling-software: 20
- https://bluealpha.ai/articles/best-marketing-mix-modeling-software: 15
- https://aboutmartech.com/blog/marketing-attribution-companies: 14
- https://prettyinsights.com/best-marketing-attribution-tools: 14

## The company

Meta Platforms; https://www.meta.com/; Menlo Park, United States; founded 2004; about 58,604 employees (2020); public, META on Nasdaq. From Wikidata, fetched 2026-09-14.

## Record

- Method: https://www.gane.ai/index/gtm/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/gtm.