Every category where a model named DV360 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	0%	90 of 92	47%	15	criticized challenger	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Video advertising	Marketing	0%	104 of 114	50%	6	under 10 labels · led by StackAdapt at 32%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Native and content advertising	Marketing	0%	71 of 86	50%	2	under 10 labels · led by StackAdapt at 41%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, DV360 held within the floor in all three categories: no change cleared 11 points.

Best category · Programmatic · by segment

Small business▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 2% in September 2026

Inside the floor by 9 pointsRank 13 → 68 of 69

Mid-market=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 91 → 86 of 86

Enterprise=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

2%from 2% in September 2026

Inside the floor by 11 pointsRank 9 of 60, unchanged

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
Programmatic	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 91 → 90 of 92
Video ads	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 92 → 104 of 114
Native ads	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 57 → 71 of 86

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 DV360 across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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

Direct13 labelsNone

Paraphrase6 labelsNone

Comparative5 labelsNone

Budget-constrained10 labels1

Scale-constrained15 labelsNone

Negative11 labelsNone

First choiceAlternativeMentionNegative60 labels in all, every segment counted; 1 of the 1 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.

“This opens up platforms like DV360 and The Trade Desk (typically through agency relationships)” Kimi K2 · Programmatic · scale prompt · alternative

“Need YouTube, Google TV and Google stack integration → DV360.” Muse Glimmer 30B · 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.

“mid-sized companies rarely have the $10,000–$20,000 monthly minimums required to secure a direct seat with Tier-1 enterprise DSPs like Google’s DV360 or The Trade Desk” Gemini 3.5 Flash · Programmatic · paraphrase prompt · soft negative

“enterprise-level Demand Side Platforms (DSPs) like The Trade Desk or Google's DV360, which required monthly minimum spends of $10,000 to $100,000” Gemini 3.5 Flash · Programmatic · budget prompt · soft negative

“Platforms like Google DV360 and Amazon DSP have been called out in Adalytics reports for failing to *default* block MFA sites” DeepSeek V4 Flash · Programmatic · negative prompt · soft negative

“Enterprise-grade platforms (like Google\u2019s DV360 or The Trade Desk) often demand high monthly minimum spends” Gemini 3.5 Flash · Video ads · scale prompt · soft negative

Named alongside

The products named in the same answers as DV360, over the 60 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and DV360 was named but was not.

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ProductSame answerTook the first choice insteadHead to head

The Trade Desk55 of 605Not among the top eight

StackAdapt39 of 6019Not among the top eight

Amazon DSP25 of 601Not among the top eight

Basis13 of 600Not among the top eight

Demandbase10 of 603Not among the top eight

Google Ads9 of 601Not among the top eight

Meta Ads8 of 602Not among the top eight

Vibe.co8 of 602Not among the top eight

6sense8 of 601Not among the top eight

Choozle6 of 601Not among the top eight

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 DV360. 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 53 of the 60 answers that named DV360 and are not a share of its labels.

Domains cited

improvado.io31

demandbase.com30

madgicx.com26

aidigital.com19

admanage.ai18

vibe.co18

pipeline.zoominfo.com16

epom.com12

heysid.com12

stackadapt.com12

No domain is on file for DV360, so its own site is not marked.

Pages cited

improvado.io/blog/top-programmatic-platforms27

demandbase.com/blog/programmatic-advertising-platforms23

admanage.ai/blog/programmatic-advertising-platforms18

aidigital.com/blog/programmatic-advertising-platforms16

madgicx.com/blog/ad-tech-platform-for-programmatic-advertising14

vibe.co/blog/how-to/programmatic-advertising-platforms12

heysid.com/resources/best-programmatic-advertising-platforms-for-b2b11

pipeline.zoominfo.com/marketing/b2b-advertising-platforms11

Pages are listed as the models cited them.

Search and answers

Where DV360 stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 4,400 a month (“dv360”)
AI search demand for its name, est.: 192 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 90 of 92 in programmatic

Segment leader

48%

StackAdapt

First choices: 1 across its categories
Named in: 60 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.

Follow DV360

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 DV360'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 DV360, 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 DV360 by email, built from the raw record of the edition. It shows:

where DV360 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 DV360, 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.