Attribution and marketing mix modeling · RankedGoogle Meridian
Google Meridian is an open-source marketing mix modeling framework from Google that uses Bayesian modeling and causal inference · google.com ↗
Gane, the publisher, sells software in Attribution & MMM, where this product is measured. It is measured there by the same method as every other product. How the conflict is handled.
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Dreamdata is first at 26%.
Dreamdata is first at 32%.
Adobe Marketo Measure is first at 22%.
Why models recommend it
“If you have technical capabilities: Use Google Meridian or Meta Robyn. You get world-class Bayesian MMM for $0 in software costs.”Gemini 3.5 Flash · Budget-constrained question · first choice
“the best overall approach is usually Google Meridian if you have someone who can work with data”Perplexity Sonar · Budget-constrained question · first choice
“Google Meridian is a free, open-source Bayesian MMM framework from Google”Grok 4.20 · Budget-constrained question · first choice
“GA4 (free) + Google Meridian (free) is the best combination”DeepSeek V4 Flash · Budget-constrained question · first choice
What gives them pause
“Google Meridian (MMM): No managed platform experience, no optimization features, and no customer support”Claude Haiku 4.5 · Negative question · warning
“require significant in-house data science expertise — not practical for most mid-sized teams”DeepSeek V4 Flash · Paraphrase question · warning
“they require data-science/econometric capability, engineering, validation and ongoing maintenance; they are not plug-and-play SaaS products”Perplexity Sonar · Negative question · warning
“I wouldn’t reject either just because Google or Meta built it... they still need good data, sound modeling, and independent validation.”GPT-6 Luna · Negative question · warning
Also on the shortlist
The products named in the same answers as Google Meridian, over the 107 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 78 | 0 | Compare → | |
| 50 | 14 | Compare → | |
| 47 | 3 | Compare → | |
| 45 | 11 | Compare → | |
| 45 | 3 | Compare → | |
| 42 | 5 | View → | |
| 42 | 5 | View → | |
| 42 | 4 | View → | |
| 37 | 8 | Compare → | |
| 29 | 4 | View → |
What the models named instead of Google Meridian →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Google Meridian's own site, not checked by Gane.
- Headquarters
- Mountain View, California, United States
- Founded
- 1998
- Also from Google
- Adometry, Attribution 360, BigQuery, Firebase, Google ADH, Google Ad Manager and 83 more
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 104 of the 107 answers that named Google Meridian and are not a share of its labels.
Domains cited
294 of the 321 domain citations in answers naming Google Meridian came from a third party's page. Twenty-seven were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 1 | 2 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 1 | 1 | 2 | 0 | 4 |
| Perplexity Sonar | 1 | 1 | 0 | 1 | 3 |
| Grok 4.20 | 1 | 1 | 1 | 1 | 4 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 1 | 2 | 0 | 1 | 4 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 1 | 2 |
| Kimi K2 | 0 | 1 | 2 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 2 | 2 | 1 | 5 |
| Muse Glimmer 30B | 1 | 0 | 0 | 1 | 2 |