GTM AI Index
Index Vendors › PubMatic · September 2026 Edition
3 categories · Ranked

PubMatic

17Judge labels
0First choices
5Negative labels
9 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
0% in Programmatic for mid-market buyers
Rank 18 of 96 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 14% of its 7 labels there were negative.
By buyer segmentRead the same way at every buyer size.
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 PubMatic 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Programmatic and display advertisingMarketing0%18 of 9614%7under 10 labels · led by StackAdapt at 61%
Video advertisingMarketing0%62 of 1210%2under 10 labels · led by StackAdapt at 24%
Identity resolutionGTM data and infrastructure0%113 of 1510%1under 10 labels · led by Hightouch at 15%

Movement

This is the first edition on this tier, so no move can be computed for PubMatic yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated PubMatic across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00101
Grok 4.1 Fast01012
Mistral Small00202
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX00202
MiniMax M2.500101

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
Paraphrase1 labelNone
Comparative8 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative8 labelsNone
First choiceAlternativeMentionNegative17 labels in all, every segment counted; 0 of the 0 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.

“Best for: publishers optimizing yield and omnichannel monetization” GPT-5.4 mini · Programmatic · comparative prompt · alternative
“Open-web, mobile publishers | Global reach; PMPs/deal IDs” Grok 4.1 Fast · 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.

“SSPs like Magnite, PubMatic, Criteo, Xandr” Grok 4.1 Fast · Programmatic · negative prompt · soft negative

Named alongside

The products named in the same answers as PubMatic, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and PubMatic was named but was not.
ProductSame answerTook the first choice insteadHead to head
The Trade Desk13 of 176Not in the top three
Google Display & Video 36013 of 172Not in the top three
Magnite13 of 170Not in the top three
StackAdapt10 of 171Not in the top three
Amazon DSP10 of 170Not in the top three
OpenX8 of 170Not in the top three
Teads7 of 170Not in the top three
Google Ad Manager6 of 170Not in the top three
Basis5 of 170Not in the top three
Simpli.fi5 of 170Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 PubMatic. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 2 of the 17 answers that named PubMatic and are not a share of its labels.

Domains cited

demandbase.com2
learn.g2.com2
ucompares.com2
vibe.co2
adpushup.com1
blogpros.com1
corp.kaltura.com1
d-id.com1
dacast.com1
froggyads.com1

Fourteen of the fourteen domain citations in answers naming PubMatic came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

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 PubMatic'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 PubMatic, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at pubmatic.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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