GTM AI Index
Index Vendors › Adsterra · September 2026 Edition
2 categories · Named, not ranked

Adsterra

12Judge labels
0First choices
5Negative labels
8 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Adsterra was named 7 times in Native ads and 1 other category, where StackAdapt led with 23%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In native ads · 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 Adsterra 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
Native and content advertisingMarketing0%19 of 7225%4under 10 labels · led by StackAdapt at 23%
Video advertisingMarketing0%98 of 12133%3under 10 labels · led by StackAdapt at 24%

Movement

This is the first edition on this tier, so no move can be computed for Adsterra 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 Adsterra across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200011
GLM 4.7 FlashX01001
MiniMax M2.501102

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative2 labelsNone
Budget-constrained4 labelsNone
Scale-constrained0 labelsNone
Negative5 labelsNone
First choiceAlternativeMentionNegative12 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.

“Low entry barriers, flexible approval processes, and suitable for small advertisers” MiniMax M2.5 · Native ads · budget prompt · alternative
“Adsterra - Lowest Entry Barrier” GLM 4.7 FlashX · Native ads · budget 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.

“Why avoid: Malvertising and site hijacking issues” Kimi K2 · Video ads · negative prompt · hard negative
“Avoid these if your brand is sensitive to placement quality or if you require clean, high-intent traffic.” Gemini 3.5 Flash · Native ads · negative prompt · soft negative

Named alongside

The products named in the same answers as Adsterra, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Adsterra was named but was not.
ProductSame answerTook the first choice insteadHead to head
Taboola9 of 121Not in the top three
Teads9 of 121Not in the top three
MGID8 of 123Not in the top three
StackAdapt6 of 122Not in the top three
Revcontent5 of 121Not in the top three
YouTube Ads4 of 124Not in the top three
PropellerAds4 of 120Not in the top three
TikTok Ads4 of 120Not in the top three
Nativo3 of 120Not in the top three
TripleLift3 of 120Not 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 Adsterra. 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 1 of the 12 answers that named Adsterra and are not a share of its labels.

Domains cited

7searchppc.com1
aidigital.com1
madgicx.com1
osmos.ai1
realize.com1
voluum.com1

Six of the six domain citations in answers naming Adsterra came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

The company

Adsterra.
Website
adsterra.com
Headquarters
Limassol District, Cyprus
Founded
2013

From Wikidata, 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 Adsterra'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 Adsterra, 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 adsterra.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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