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Video advertising · November 2026 Edition

StackAdapt vs YouTube Ads

Four of fourteen models named StackAdapt first on the direct prompt; two named YouTube Ads. Both were named by all fourteen models and StackAdapt carries 26 labels and YouTube Ads 51, so the shares are not directly comparable.

StackAdapt

accepted challenger

Named in seven categories this edition.

YouTube Ads

accepted challenger

By YouTube, San Bruno, United States, founded 2005. Named in two categories this edition.

First-choice share22%18%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 13; printed, not drawn.
Labels2651A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, StackAdapt reading right to left. Rank and label count are printed, not drawn.LinkedIn Video Ads was named alongside these two in thirteen of the fourteen direct answers. LinkedIn Video Ads vs StackAdapt · LinkedIn Video Ads vs YouTube Ads · StackAdapt vs TikTok Ads

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the video advertising page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
StackAdaptFirst choices, of fourteen modelsYouTube Ads
Direct42
Paraphrase71
Comparative09
Budget-constrained051 against YouTube Ads
Scale-constrained01
Negative015 against YouTube Ads
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where StackAdapt and YouTube Ads stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
StackAdapt YouTube Ads first choice named as an alternative argued againstblank: not namedEach cell is one answer, StackAdapt on the left and YouTube Ads on the right.

The direct prompt

The plain question, one answer per model, grouped by where StackAdapt and YouTube Ads stood in it.

StackAdapt first, YouTube Ads an alternative

4 of 14 modelsYouTube Ads was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5LinkedIn Video Ads, StackAdapt alternatives: Vibe.co, Vidyard, Wistia
Perplexity SonarStackAdapt alternatives: Demandbase CTV, LinkedIn Video Ads, Vibe.co, YouTube Ads
Llama 4 MaverickStackAdapt
Muse Glimmer 30BLinkedIn Video Ads, StackAdapt alternatives: YouTube Ads

YouTube Ads first, StackAdapt an alternative

2 of 14 modelsStackAdapt was named in the answer but not as the choice, or not at all.
Mistral SmallLinkedIn Video Ads, YouTube Ads alternatives: Demandbase CTV
Qwen 3.7 FlashLinkedIn Video Ads, YouTube Ads alternatives: Demandbase CTV, Google Display, Meta Ads, StackAdapt, The Trade Desk

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniLinkedIn Video Ads alternatives: YouTube Ads
Gemini 3.5 FlashLinkedIn Video Ads alternatives: MNTN, Meta Ads, YouTube Ads
Grok 4.20LinkedIn Video Ads alternatives: YouTube Ads
DeepSeek V4 FlashLinkedIn Video Ads alternatives: Demandbase CTV, StackAdapt, YouTube Ads
Kimi K2LinkedIn Video Ads alternatives: StackAdapt, Vibe.co, YouTube Ads
GLM 4.7 FlashXLinkedIn Video Ads alternatives: Demandbase CTV, Spotify Ads, StackAdapt, YouTube Ads
MiniMax M2.5LinkedIn Video Ads alternatives: Demandbase CTV, YouTube Ads
GPT-6 LunaLinkedIn Video Ads alternatives: YouTube Ads

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
YouTube Ads leads by twenty-two points.
YouTube Ads24%#1 of 9
StackAdapt2%#7 of 9
The full small business standing →
Mid-marketThe figures above
The order flips: StackAdapt leads at mid-market.
StackAdapt22%#2 of 13
YouTube Ads18%#3 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
StackAdapt0%#6 of 11
YouTube Ads0%#9 of 11
The full enterprise standing →

What the models said about StackAdapt

No label in this category carried a quote.

What the models said about YouTube Ads

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“YouTube Ads and Meta Ads are also mentioned as having some negative labels, but not to the same extent as X” Llama 4 Maverick · negative prompt · soft negative
“especially where the money is juiciest: Connected TV (CTV), YouTube, in-stream and in-feed video” Claude Haiku 4.5 · negative prompt · soft negative
“its open inventory—particularly user-generated content—can pose significant brand safety risks” Mistral Small · negative prompt · soft negative
“Best for intent and evergreen / low CPV: YouTube TrueView or YouTube Shorts. The CPV model and $2-$6 CPM for Shorts make it the most cost-efficient for small budgets.” Muse Glimmer 30B · budget prompt · first choice
“Choose YouTube if you want to capture users with specific intent, need detailed analytics, or want to leverage Google's ecosystem” Kimi K2 · comparative prompt · first choice
“YouTube and Facebook/Instagram are generally the safest starting points due to their flexibility and targeting options.” Claude Haiku 4.5 · budget prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.