Small business▲+6Since September 2026: 2% → 8%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
8%from 2% in September 2026
Inside the floor by 5 pointsRank 13 → 5 of 92
MNTN
38Judge labels
6First choices
4Negative labels
13 / 14Models named it
1Category
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
7% in Video ads for small business buyers
Rank 7 of 114 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 15 labels there were negative.
What the models named instead of MNTN →By buyer segmentRead the same way at every buyer size.
Small business7 of 99
7%13 labels
criticized challenger
Mid-market7 of 114
2%15 labels
accepted challenger
Enterprise11 of 105
2%10 labels
accepted challenger
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.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Video advertising | Marketing | 2% | 7 of 114 | 0% | 15 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, MNTN held within the floor in its one category: no change cleared 11 points.
Best category · Video ads · 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 14 → 7 of 110
Enterprise▲+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 19 → 8 of 97
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Video ads | 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 14 → 7 of 114 |
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 MNTN 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 MNTN 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 | 2 | 0 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 3 | 0 | 0 | 3 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 1 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 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
Direct2 labelsNone
Paraphrase18 labels6
Comparative13 labelsNone
Budget-constrained0 labelsNone
Scale-constrained3 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative38 labels in all, every segment counted; 6 of the 6 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.
“StackAdapt and MNTN are the best choices for dedicated CTV and online video advertising” Mistral Small · Video ads · paraphrase prompt · first choice
“MNTN is built for brands that don't have in-house video production, with higher budget minimums and managed service overhead.” Claude Haiku 4.5 · Video ads · comparative prompt · alternative
“have democratized CTV for growth marketers and SMBs by offering self-serve buying with budgets as low as $50/day” Gemini 3.5 Flash · Video ads · comparative prompt · alternative
“Also consider MNTN if CTV is the main priority and you want a more performance-oriented, self-serve setup.” GPT-6 Luna · Video ads · paraphrase 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 38 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.ShowHide
Named alongside
The products named in the same answers as MNTN, over the 38 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.
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 MNTN. 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 37 of the 38 answers that named MNTN and are not a share of its labels.
Domains cited
demandbase.com23
vibe.co23
adwave.com17
guideflow.com16
heysid.com16
madgicx.com13
learn.g2.com11
influencermarketinghub.com10
g2.com9
measured.com8
No domain is on file for MNTN, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where MNTN stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where MNTN stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 450,000 a month (“mntn”)
- AI search demand for its name, est.
- 336 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 7 of 114 in video ads
Segment leader
32%
StackAdapt
- First choices
- 6 across its categories
- Named in
- 38 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 MNTN
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 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.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for MNTN by email, built from the raw record of the edition. It shows:
- where MNTN 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 MNTN, 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.