GTM AI Index
Index Vendors › MNTN · September 2026 Edition
2 categories · Ranked

MNTN

52Judge labels
1First choices
8Negative labels
11 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.
Best standing
2% in Video ads for small business buyers
Rank 15 of 121 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 22 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In video 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 MNTN 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
Video advertisingMarketing0%15 of 1210%22accepted challenger
Programmatic and display advertisingMarketing0%55 of 960%1under 10 labels · led by StackAdapt at 61%

Movement

This is the first edition on this tier, so no move can be computed for MNTN 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 MNTN across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.502002
GPT-5.4 mini00000
Gemini 3.5 Flash03104
Perplexity Sonar01001
Grok 4.1 Fast02103
Mistral Small00000
DeepSeek V4 Flash02103
Llama 4 Maverick00202
Qwen 3.7 Flash01001
Kimi K201102
GLM 4.7 FlashX02002
MiniMax M2.502103

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
Paraphrase17 labels1
Comparative19 labelsNone
Budget-constrained1 labelNone
Scale-constrained7 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative52 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.

“MNTN is also worth considering because it is repeatedly described as a CTV-focused performance platform” Perplexity Sonar · Video ads · paraphrase prompt · alternative
“Best Specifically for B2B Lead Gen: MNTN ... the go-to platform specifically designed for B2B brands” Qwen 3.7 Flash · Video ads · paraphrase prompt · alternative
“## Alternative: MNTN (formerly Maker Studios) Best for performance-driven B2B teams:” GLM 4.7 FlashX · Video ads · paraphrase prompt · alternative
“Performance-focused CTV, creative-as-a-subscription model | Custom pricing, CTV-specific” Kimi K2 · Video ads · scale 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.

No model argued against it.

Named alongside

The products named in the same answers as MNTN, over the 52 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MNTN was named but was not.
ProductSame answerTook the first choice insteadHead to head
StackAdapt39 of 528Not in the top three
Vibe.co35 of 5213Not in the top three
The Trade Desk31 of 527Not in the top three
YouTube Ads19 of 528Not in the top three
Basis18 of 520Not in the top three
Simpli.fi18 of 520Not in the top three
Meta Ads16 of 525Not in the top three
Google Display & Video 36016 of 524Not in the top three
TikTok Ads16 of 523Not in the top three
Demandbase14 of 522Not 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 MNTN. 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 8 of the 52 answers that named MNTN and are not a share of its labels.

Domains cited

vibe.co8
demandbase.com5
adwave.com3
getadlib.com3
heysid.com3
slashdot.org3
sourceforge.net3
adroll.com2
adsmanager.paramount.com2
adtelligent.com2

Thirty-four of the thirty-four domain citations in answers naming MNTN came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as MNTN

What the judge wrote, as written, with how often. The vendor table decides that these count as MNTN; a claim can dispute any of them.
MNTN (Performance TV) 2MNTN/Simpli.fi 1
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 MNTN'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 MNTN, 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 mntn.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.