Small business▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 0% in September 2026
Inside the floor by 7 pointsRank 25 → 9 of 108
Meta · 1 category · RankedMeta Robyn
65Judge labels
2First choices
23Negative labels
11 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
3% in Attribution & MMM for small business buyers
Rank 23 of 123 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 17% of its 23 labels there were negative.
What the models named instead of Meta Robyn →By buyer segmentRead the same way at every buyer size.
Small business10 of 112
3%30 labels
criticized challenger
Mid-market23 of 123
0%23 labels
accepted challenger
Enterprise109 of 110
0%12 labels
criticized challenger
In attribution & mmm · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Meta Robyn for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Attribution and marketing mix modeling | Marketing | 0% | 23 of 123 | 17% | 23 | accepted challenger | ▼−1Since September 2026: 1% → 0%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Meta Robyn held within the floor in its one category: no change cleared 11 points.
Best category · Attribution & MMM · by segment
Mid-market▼−1Since September 2026: 1% → 0%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 1% in September 2026
Inside the floor by 10 pointsRank 16 → 22 of 112
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 30 → 99 of 101
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Attribution & MMM | 1% | 0% | ▼−1Since September 2026: 1% → 0%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 16 → 23 of 123 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Meta Robyn across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Meta Robyn across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 2 | 1 | 2 | 5 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 2 | 0 | 0 | 2 |
| Mistral Small | 1 | 0 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 2 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 2 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 2 | 1 | 0 | 3 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 2 | 0 | 1 | 3 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct6 labelsNone
Paraphrase6 labelsNone
Comparative16 labels1not counted in share
Budget-constrained17 labels2
Scale-constrained6 labelsNone
Negative14 labels2not counted in share
First choiceAlternativeMentionNegative65 labels in all, every segment counted; 2 of the 5 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“open-source MMM tools like Meta's Robyn or Google's Meridian are increasingly attractive due to their transparency and cost-effectiveness” Mistral Small · Attribution & MMM · negative prompt · first choice
“Meta Robyn as a close alternative: Facebook's free open-source MMM (R/Python). Similar power, large community” Grok 4.1 Fast · Attribution & MMM · budget prompt · alternative
“Meta describes it as an experimental project; it is a framework to operate, not a turnkey managed service” GPT-6 Luna · Attribution & MMM · comparative prompt · alternative
“Look instead for platforms built on open-source frameworks (like Meta’s Robyn or Google’s LightweightMMM)” Gemini 3.5 Flash · Attribution & MMM · negative prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“requires meaningful technical capability to run with R experience, and is built primarily around digital and direct response data” Claude Haiku 4.5 · Attribution & MMM · negative prompt · soft negative
“Meta Robyn if you need a managed, push-button answer. It's an open-source MMM package, so your team needs the skill and time” GPT-6 Luna · Attribution & MMM · negative prompt · soft negative
“rarely have full-time data scientists to manage open-source MMM code (like Google Meridian or Meta Robyn)” Gemini 3.5 Flash · Attribution & MMM · direct prompt · soft negative
“require dedicated data scientists to clean data, build pipelines, validate, and maintain the models” Gemini 3.5 Flash · Attribution & MMM · scale prompt · soft negative
Named alongside
The products named in the same answers as Meta Robyn, over the 65 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Meta Robyn was named but was not.ShowHide
Named alongside
The products named in the same answers as Meta Robyn, over the 65 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Meta Robyn was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Meta Robyn. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 64 of the 65 answers that named Meta Robyn and are not a share of its labels.
Domains cited
improvado.io41
cometly.com38
admetrics.io32
segmentstream.com31
mcpanalytics.ai29
thecmo.com27
usermaven.com20
guideflow.com16
aidigital.com15
factors.ai15
264 of the 264 domain citations in answers naming Meta Robyn came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Meta Robyn stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Meta Robyn stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 90 a month (“meta robyn”)
- AI search demand for its name, est.
- 1 a month
- Its own site
- It sits on Meta's site (meta.com), so there are no site figures for it alone
In answers
This editionShare of first choices
0%
rank 23 of 123 in Attribution & MMM
Segment leader
27%
Dreamdata
- First choices
- 2 across its categories
- Named in
- 65 answers
- Its own site cited
- in 64 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Names read as Meta Robyn
What the judge wrote, as written, with how often. The vendor table decides that these count as Meta Robyn; a claim can dispute any of them.
Meta's Robyn 3Robyn 2Robyn (Meta) 1
Follow Meta Robyn
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Meta Platforms is the company behind Meta Robyn.ShowHide
The company
Meta Platforms is the company behind Meta Robyn.
ShowHideOn record
Wikidata- Website
- meta.com
- Headquarters
- Menlo Park, United States
- Founded
- 2004
- Employees
- about 58,604 (2020)
- Ownership
- Public, META on Nasdaq
- Also from Meta
- Meta (Facebook) Ads, Meta (Facebook/Instagram) Video Ads, Meta AI, Meta Ad Library, Meta Ads, Meta Advanced Analytics, Meta Advantage+, Meta Advantage+ App Campaigns and 11 more
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Meta Robyn's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Meta Robyn, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Meta Robyn by email, built from the raw record of the edition. It shows:
- where Meta Robyn is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Meta Robyn, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.