GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index Marketing September 2026 Edition

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. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing
Contested
24% of first choices, contested.

01The 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 rateLabelsQuadrant
01StackAdapt24%3%31accepted challenger
02YouTube Ads17%15%41accepted challenger
03LinkedIn Campaign Manager15%8%12accepted challenger
04Meta Ads11%4%28accepted challenger
05Vibe.co7%0%28accepted challenger
06TikTok Ads7%30%33criticized challenger
07LinkedIn Video Ads4%18%11accepted challenger
Show the two products at 0%, ordered by negative rate
09The Trade Desk0%38%24criticized challenger
08MNTN0%0%22accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

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 →
01
02
03
04
05
06
07
08
09
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01StackAdapt24%
02YouTube Ads17%
03LinkedIn Campaign Manager15%
04Meta Ads11%
05Vibe.co7%
06TikTok Ads7%
07LinkedIn Video Ads4%
08MNTN0%
09The Trade Desk0%

02What they warned about

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 Ads
30%
10 of 33 labels negative · 9 of 6 models · 2 hard negative
“High IVT rates ... strict policies leading to frequent account bans/suspensions ... complaints of funds withheld” Grok 4.1 Fast, negative prompt
YouTube Ads
15%
6 of 41 labels negative · 6 of 6 models · 1 hard negative
“Brand Safety: Content classification issues, especially in sensitive categories” GLM 4.7 FlashX, negative prompt
The Trade Desk
38%
9 of 24 labels negative · 6 of 6 models
“enterprise-grade demand-side platforms (DSPs) like *The Trade Desk* are powerful, they often require high monthly minimum spends (frequently $20,000+) and dedicated ad ops teams” Gemini 3.5 Flash, paraphrase prompt
Google Display & Video 360
38%
3 of 8 labels negative · 3 of 6 models
“Enterprise options like The Trade Desk or Google DV360 often require $20K-$50K+ monthly minimums, which can be prohibitive.” Grok 4.1 Fast, paraphrase prompt

03What they cite

Citations exist only for the models that return a source list: four of the six in this edition.

Sites the answers cite

19 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 166 links across 89 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.

vendor site · Vibe.co8 answers · 12 citations · 2 models
vendor site · Demandbase5 answers · 7 citations · 2 models
vendor site · Guideflow5 answers · 5 citations · 2 models
vendor site · Hey Sid4 answers · 5 citations · 2 models
4 answers · 4 citations · 2 models
vendor site · RichAds4 answers · 4 citations · 2 models
vendor site · FroggyAds3 answers · 4 citations · 1 model
vendor site · AdRoll3 answers · 3 citations · 1 model
3 answers · 3 citations · 1 model
3 answers · 3 citations · 2 models
3 answers · 3 citations · 1 model
vendor site · Madgicx3 answers · 3 citations · 1 model

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.

04How 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.
ModelDirect“What is the best video advertising platform for a mid-market B2B company?”Paraphrase“Which connected TV and online video ads platform would you recommend to a mid-sized B2B 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 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings
Facebook read as Meta Ads
Instagram read as Meta Ads
LinkedIn read as LinkedIn Video Ads
Meta read as Meta Ads
Meta (FB/IG Reels) read as Meta Ads
Meta (Facebook & Instagram) read as Meta Ads
Meta (Facebook + Instagram Video & Reels) read as Meta Ads
Meta (Facebook + Instagram) read as Meta Ads
Meta (Facebook/Instagram) read as Meta Ads
Meta (Instagram & Facebook) read as Meta Ads
TikTok read as TikTok Ads
YouTube read as YouTube Ads
YouTube (Google Ads) read as YouTube Ads
YouTube (Google Video Partners) read as YouTube Ads
YouTube (via Google Ads) read as YouTube Ads
Unresolved, counted raw
AdMaven
AdPushUp
AdsCompass
Amazon CTV (Prime Video, Freevee, Fire TV)
Amazon DSP / Prime Video
Amazon Prime Video & Fire TV
Dao.ad
Demand Gen
Google Video Partners (GVP) / TrueView on third-party sites
HilltopAds
Kadam
LinkedIn's CTV ads
Meta Retargeting
Meta’s Audience Network
Netflix Ads
Netpub.Media
Noizz.io
Pinterest Video Ads
Programmatic/CTV
PuppyDog
Pushub
Spotify
TikTok Video Ads
TikTok’s Pangle
TrafficJunky
YouTube Ads via Google Video/PMax campaigns
Discontinued, still offered
No shut-down product was recommended here.
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