Small business=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 66 → 53 of 69
MediaMath
31Judge labels
2First choices
9Negative labels
11 / 14Models named it
3Categories
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
2% in Programmatic for mid-market buyers
Rank 16 of 92 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 45% of its 11 labels there were negative.
What the models named instead of MediaMath →By buyer segmentRead the same way at every buyer size.
Small business54 of 71
0%4 labels
under the label threshold
Mid-market16 of 92
2%11 labels
criticized challenger
Enterprise46 of 64
0%6 labels
under the label threshold
In programmatic · 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 MediaMath 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 |
|---|---|---|---|---|---|---|---|
| Programmatic and display advertising | Marketing | 2% | 16 of 92 | 45% | 11 | criticized challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Audio and podcast advertising | Marketing | 0% | 29 of 101 | 0% | 2 | under 10 labels · led by AudioGo at 34% | |
| Data clean rooms | GTM data and infrastructure | 0% | 73 of 100 | 0% | 1 | under 10 labels · led by Snowflake Data Clean Rooms at 19% |
Movement
Since September 2026, MediaMath held within the floor in all three categories: no change cleared 11 points.
Best category · Programmatic · by segment
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 87 → 16 of 86
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 86 → 17 of 60
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Programmatic | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 87 → 16 of 92 |
| Audio advertising | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 29 of 101, unchanged |
| Data clean rooms | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 73 of 100, unchanged |
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 MediaMath 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 MediaMath 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 | 1 | 1 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.20 | 1 | 0 | 0 | 1 | 2 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 2 | 1 | 0 | 3 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |
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
Direct0 labelsNone
Paraphrase2 labelsNone
Comparative16 labelsNone
Budget-constrained2 labels1
Scale-constrained7 labels1
Negative4 labelsNone
First choiceAlternativeMentionNegative31 labels in all, every segment counted; 2 of the 2 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.
“Prioritize platforms like Google DV360, The Trade Desk, MediaMath, or Amazon DSP, but test via demos or pilots.” Grok 4.20 · Programmatic · scale prompt · first choice
“programmatic DSPs (like MediaMath or Basis) to find the best fit” MiniMax M2.5 · Audio advertising · scale prompt · alternative
“Tools like The Trade Desk or MediaMath” Qwen 3.7 Flash · Audio advertising · scale prompt · alternative
“Popular mid-market DSPs.” Qwen 3.7 Flash · Programmatic · comparative 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.
“MediaMath, once a viable agency option, filed for Chapter 11 in 2023 and now runs at a much smaller scale under Infillion.” Muse Glimmer 30B · Programmatic · comparative prompt · hard negative
“Don't build a media plan around it, as it's defunct as an independent platform.” Claude Haiku 4.5 · Programmatic · negative prompt · hard negative
“Had a bankruptcy and relaunch in 2023 — brand stability is a consideration; smaller market presence today” DeepSeek V4 Flash · Programmatic · comparative prompt · soft negative
“Mid-tier DSPs (e.g., StackAdapt, MediaMath) ... still high for very limited budgets.” GLM 4.7 FlashX · Programmatic · budget prompt · soft negative
Named alongside
The products named in the same answers as MediaMath, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MediaMath was named but was not.ShowHide
Named alongside
The products named in the same answers as MediaMath, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MediaMath 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 MediaMath. 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 29 of the 31 answers that named MediaMath and are not a share of its labels.
Domains cited
improvado.io17
aidigital.com16
demandbase.com13
admanage.ai12
smartyads.com10
syntermedia.ai10
vibe.co10
madgicx.com9
guideflow.com8
propellant.media8
No domain is on file for MediaMath, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where MediaMath stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where MediaMath stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 590 a month (“mediamath”)
- AI search demand for its name, est.
- 16 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This editionShare of first choices
2%
rank 16 of 92 in programmatic
Segment leader
48%
StackAdapt
- First choices
- 2 across its categories
- Named in
- 31 answers
- Its own site cited
- No site on file to match
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 MediaMath
What the judge wrote, as written, with how often. The vendor table decides that these count as MediaMath; a claim can dispute any of them.
MediaMath (by Infillion) 1
Follow MediaMath
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.
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 MediaMath'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 MediaMath, 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 MediaMath by email, built from the raw record of the edition. It shows:
- where MediaMath 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 MediaMath, 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.