Video advertising
Asked as “video advertising platform”, and as “connected TV and online video ads platform”, on behalf of a mid-market B2B software company. 22 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
32%
Contested · LinkedIn Video Ads 27%
32StackAdapt27LinkedIn Video Ads23Meta Ads18others
32% of first choices, contested.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
02
LinkedIn Video Ads27%19%16accepted challengernewNew since September 2026: not ranked then, 27% now.
LinkedIn Video Ads27%19%16accepted challengernewNew since September 2026: not ranked then, 27% now.Show the two products at 0%, ordered by negative rate
The floor is 12 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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All six head-to-head pages: the top four products, each against each
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102
03
04
05
06Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01StackAdapt32%
StackAdapt32%02LinkedIn Video Ads27%
LinkedIn Video Ads27%03Meta Ads23%
Meta Ads23%04YouTube Ads18%
YouTube Ads18%05TikTok Ads0%
TikTok Ads0%06The Trade Desk0%
The Trade Desk0%What they warned about
Two of six models held their first choice under the paraphrase. Claude Opus 5, GPT-6 Astra, GPT-5.6 Sol and Gemini 3.1 Pro changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
TikTok Ads44%
7 of 16 labels negative · 5 of 6 models
“requires an ad-group daily budget above $20 and campaign budgets above $50, making it less flexible for extremely small tests” GPT-5.6 Sol, budget prompt
The Trade Desk50%
6 of 12 labels negative · 4 of 6 models · 1 hard negative
“Avoid The Trade Desk at your size.” Claude Opus 5, paraphrase prompt
Google Video Partners100%
3 of 3 labels negative · 3 of 6 models · 1 hard negative
“don't avoid YouTube — just opt out of Video Partners inventory unless you have a specific reason” Claude Opus 5, negative prompt
LinkedIn Video Ads19%
3 of 16 labels negative · 3 of 6 models · 1 hard negative
“Platforms to Avoid with a Limited Budget * LinkedIn Ads: ... notorious for high costs” Gemini 3.1 Pro, budget prompt
What they cite
Six of the six models returned a source list in this edition: six return the pages they cited.
Sites the answers cite
27 of 36 answers in this category came back with a source list, from 6 of 6 models: citations where the model returns them, or the search results it consulted. 437 links across 226 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.
vendor site · Google Search12 answers · 14 citations · 4 models
vendor site · Vibe.co10 answers · 12 citations · 3 models
vendor site · Demandbase7 answers · 14 citations · 4 models
7 answers · 8 citations · 3 models
vendor site · TikTok6 answers · 7 citations · 3 models
vendor site · Guideflow6 answers · 7 citations · 2 models
vendor site · RichAds6 answers · 6 citations · 3 models
5 answers · 10 citations · 4 models
vendor site · Facebook5 answers · 5 citations · 2 models
vendor site · LinkedIn5 answers · 5 citations · 5 models
vendor site · Madgicx5 answers · 5 citations · 3 models
4 answers · 9 citations · 2 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
7 answers · 3 models
6 answers · 3 models
5 answers · 3 models
4 answers · 3 models
4 answers · 2 models
4 answers · 2 models
4 answers · 1 model
4 answers · 2 models
4 answers · 2 models
3 answers · 1 model
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best video advertising platform”, “video advertising platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days |
|---|---|---|---|---|---|---|---|
| StackAdapt stackadapt.com | 32% | 393 | 8,100 | 167 | 26,512 | $18,665 | 39 |
| LinkedIn parent site LinkedIn Video Ads 27% | 27% | 84 | 11,100,000 | 77,031 | |||
| Meta meta.com Meta Ads 23% | 23% | 195 | 49,500 | 1,504 | 9,891,853 company | $5,460 | 49 |
| YouTube Ads youtube.com | 18% | 116 | 14,800 | 9,294 | 3,335,384,769 | $40 | 7 |
| MNTN | 0% | 450,000 | 336 | ||||
| Amazon DSP amazon.com | 0% | 139 | 22,200 | 1,498 | 1,681,997,879 | $106,125 | 115 |
| Demandbase CTV demandbase.com Demandbase CTV 0%, Demandbase Advertising 0% | 0% | 62 | 42,531 | 34 | |||
| Hulu hulu.com | 0% | 14 | 4,090,000 | 196,641 | 33,947,620 | $47 | 120 |
| Roku Ads roku.com | 0% | 30 | 1,600 | 499 | 9,910,215 | $1,736 | 113 |
| Google parent site Google Display & Video 360 0% | 0% | 169 |
Google's top ten for the two searches hold 14 sites; 1 of them are among the sites the models cited here (linkedin.com). The first result for “best video advertising platform” is reddit.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best video advertising platform for a mid-market B2B software company?”Paraphrase“Which connected TV and online video ads platform would you recommend to a mid-sized B2B software company?”Comparative“What are the top video advertising platforms and how do they differ?”Budget-constrained“What is the best video advertising platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a video advertising platform. What should we look at?”Negative“Which video advertising platforms should I avoid or be cautious about?”
Claude Opus 5LinkedIn Video Ads, YouTube Adsagainst: Loom, Reddit Ads, Roku Ads, StackAdapt, TikTok Ads, Vibe.co, Vidyard, Wistia, XStackAdaptChangedagainst: The Trade DeskMeta Ads, TikTok AdsMeta Adsno first choiceagainst: Google Performance Max, Google Video Partners, Meta Ads, TikTok Ads
One alternative
Meta AdsFour alternatives
Demandbase CTV, LinkedIn Video Ads, MNTN, YouTube AdsFive alternatives
Amazon DSP, Google Display & Video 360, StackAdapt, The Trade Desk, YouTube AdsTwo alternatives
TikTok Ads, YouTube AdsClaude Opus 4.8LinkedIn Video AdsLinkedIn Video AdsHeldMeta Ads, YouTube AdsMeta Ads, YouTube Adsagainst: LinkedIn Video Ads, TikTok Adsno first choicenothing named
Two alternatives
Meta Ads, YouTube AdsFour alternatives
6sense, Demandbase CTV, StackAdapt, The Trade DeskThree alternatives
Hulu, Roku Ads, TikTok AdsGPT-6 AstraLinkedIn Video AdsStackAdaptChangedMeta Ads, YouTube AdsYouTube Adsagainst: TikTok Adsno first choiceagainst: Google Video Partners, Meta Audience Network, Pangle / TikTok Ad Network
Two alternatives
MNTN, YouTube AdsTwo alternatives
Demandbase CTV, MNTNSeven alternatives
Amazon Ads, Amazon DSP, Google Display & Video 360, LinkedIn Video Ads, Roku Ads, The Trade Desk, TikTok AdsOne alternative
Meta AdsGPT-5.6 SolLinkedIn Video AdsStackAdaptChangedagainst: The Trade DeskMeta Ads, YouTube Adsagainst: Microsoft Advertising, Microsoft InvestMeta Adsagainst: LinkedIn Video Ads, TikTok Adsno first choiceagainst: Google Video Partners, Instagram Reels, TikTok Ads, X, YouTube Shorts
One alternative
YouTube AdsTwo alternatives
Demandbase Advertising, LinkedIn Video AdsSix alternatives
Amazon Ads, Amazon DSP, LinkedIn Video Ads, Snapchat Ads, The Trade Desk, TikTok AdsOne alternative
YouTube AdsGemini 3.1 ProLinkedIn Video AdsStackAdaptChangedagainst: The Trade DeskYouTube AdsMeta Ads, YouTube Adsagainst: LinkedIn Video Ads, Premium Connected TV, TikTok AdsStackAdaptagainst: The Trade Deskagainst: Chartboost, DV360, Fiverr, Gab, PopAds, PopCash, Rumble, The Trade Desk, Truth Social, Unity Ads, X (Formerly Twitter) Video Ads, ironSource
Four alternatives
MNTN, Meta Ads, StackAdapt, YouTube AdsThree alternatives
LinkedIn Video Ads, MNTN, Vibe.coFive alternatives
Google Display & Video 360, LinkedIn Video Ads, Meta Ads, The Trade Desk, TikTok AdsThree alternatives
Choozle, Google Display & Video 360, MNTNPerplexity Sonar ProStackAdaptStackAdaptHeldno first choiceagainst: The Trade DeskMeta Adsno first choiceagainst: YouTube Ads
Three alternatives
Demandbase CTV, Vidyard, WistiaTwo alternatives
Demandbase CTV, The Trade DeskTwo alternatives
Vibe.co, YouTube AdsBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Thirty-six rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:31 | yes | 22 | 55 s |
| Direct recommendation | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:32 | no | 0 | 16 s |
| Direct recommendation | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:50 | yes | 5 | 20 s |
| Direct recommendation | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 18:51 | yes | 2 | 26 s |
| Direct recommendation | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 16:59 | no | 0 | 24 s |
| Direct recommendation | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:32 | yes | 20 | 5 s |
| Paraphrase | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:35 | yes | 40 | 68 s |
| Paraphrase | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:36 | no | 0 | 19 s |
| Paraphrase | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:53 | yes | 5 | 26 s |
| Paraphrase | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 18:54 | yes | 3 | 51 s |
| Paraphrase | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:01 | yes | 4 | 44 s |
| Paraphrase | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:37 | yes | 20 | 6 s |
| Comparative | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:40 | yes | 27 | 61 s |
| Comparative | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:42 | yes | 33 | 80 s |
| Comparative | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:56 | yes | 9 | 41 s |
| Comparative | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 18:58 | yes | 9 | 52 s |
| Comparative | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:02 | no | 0 | 22 s |
| Comparative | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:44 | yes | 20 | 8 s |
| Budget constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:46 | yes | 25 | 40 s |
| Budget constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:47 | no | 0 | 15 s |
| Budget constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:00 | yes | 4 | 18 s |
| Budget constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:01 | yes | 3 | 18 s |
| Budget constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:03 | no | 0 | 22 s |
| Budget constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:47 | yes | 20 | 5 s |
| Scale constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:49 | yes | 25 | 60 s |
| Scale constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:50 | no | 0 | 18 s |
| Scale constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:02 | yes | 5 | 37 s |
| Scale constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:05 | yes | 7 | 72 s |
| Scale constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:04 | no | 0 | 31 s |
| Scale constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:51 | yes | 20 | 8 s |
| Negative framing | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:54 | yes | 39 | 84 s |
| Negative framing | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:56 | yes | 38 | 49 s |
| Negative framing | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:06 | yes | 6 | 31 s |
| Negative framing | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:09 | yes | 6 | 50 s |
| Negative framing | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:06 | no | 0 | 28 s |
| Negative framing | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:57 | yes | 20 | 5 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Amazon read as Amazon DSP
Amazon (Prime Video) read as Amazon DSP
Demandbase read as Demandbase CTV
LinkedIn read as LinkedIn Video Ads
LinkedIn Ads read as LinkedIn Video Ads
LinkedIn Campaign Manager (Video & CTV Network) read as LinkedIn Video Ads
Meta read as Meta Ads
Meta (FB/IG) read as Meta Ads
Meta (Facebook & Instagram) read as Meta Ads
Meta (Facebook + Instagram Reels) read as Meta Ads
Meta (Facebook/Instagram) read as Meta Ads
Reddit read as Reddit Ads
Roku read as Roku Ads
Roku Ads Manager read as Roku Ads
TikTok read as TikTok Ads
YouTube read as YouTube Ads
YouTube (Google Ads) read as YouTube Ads
YouTube (Google) read as YouTube Ads
YouTube (via Google Ads) read as YouTube Ads
Unresolved, counted raw
None awaiting human review.
Discontinued, still offered
No shut-down product was recommended here.