# YouTube Ads vs LinkedIn Video Ads: which do AI models recommend for video ads, September 2026

GTM AI Recommendation Index, September 2026 Edition, Video advertising. One of twelve models named YouTube Ads first on the direct prompt; two named LinkedIn Video Ads. Page: https://gtm-ai-index.com/marketing/video-advertising/youtube-ads-vs-linkedin-video-ads/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| YouTube Ads | 17% | #2 of 9 | 15% | 41 | 12 of 12 |
| LinkedIn Video Ads | 4% | #7 of 9 | 18% | 11 | 8 of 12 |

## The direct prompt, model by model

- Gemini 3.5 Flash: youtube ads first (first choices: LinkedIn Campaign Manager, YouTube Ads) (alternatives: MNTN, VISTY, Vibe.co)
- Mistral Small: linkedin video ads first (first choices: LinkedIn Video Ads) (alternatives: Vidyard, Wistia, YouTube Ads)
- MiniMax M2.5: linkedin video ads first (first choices: LinkedIn Video Ads) (alternatives: Vidyard, Wistia)
- Claude Haiku 4.5: neither first, one named (first choices: StackAdapt) (alternatives: AdRoll ABM, MNTN, Vibe.co, YouTube Ads)
- GPT-5.4 mini: neither first, one named (first choices: LinkedIn Campaign Manager) (alternatives: YouTube Ads)
- Grok 4.1 Fast: neither first, one named (first choices: LinkedIn Campaign Manager) (alternatives: Demandbase CTV, YouTube Ads)
- DeepSeek V4 Flash: neither first, one named (first choices: LinkedIn Campaign Manager) (alternatives: StackAdapt, YouTube Ads)
- Kimi K2: neither first, one named (first choices: LinkedIn Campaign Manager) (alternatives: StackAdapt, YouTube Ads)
- GLM 4.7 FlashX: neither first, one named (first choices: LinkedIn Campaign Manager) (alternatives: Meta Ads, YouTube Ads)
- Perplexity Sonar: neither named (first choices: StackAdapt) (alternatives: Demandbase, LinkedIn Campaign Manager, Vibe.co)
- Llama 4 Maverick: neither named (alternatives: Goldcast, Vibe.co)
- Qwen 3.7 Flash: neither named (first choices: LinkedIn Campaign Manager, YouTube Ads via Google Video/PMax campaigns) (alternatives: Meta Ads, Reddit Ads)

## What the models said about YouTube Ads

- "Brand Safety: Content classification issues, especially in sensitive categories" (GLM 4.7 FlashX, negative prompt, hard negative)
- "recommends avoiding influencer and UGC channels on YouTube due to brand safety risks... brands have been advised to be cautious when advertising on the platform" (Llama 4 Maverick, negative prompt, soft negative)
- "YouTube (when using GVP/non-premium inventory) ... While YouTube itself has better controls, the Video Partners network that runs alongside it is the major risk" (Mistral Small, negative prompt, soft negative)
- "The Overall Winner: YouTube Ads (via Google Ads)... widely considered the best video advertising platform for companies on a tight budget" (Gemini 3.5 Flash, budget prompt, first choice)
- "YouTube/Google Ads | Brand awareness, wide reach | Largest global reach, diverse ad formats, strong targeting across Google network" (MiniMax M2.5, comparative prompt, first choice)
- "Best for: Everything — awareness, consideration, and conversion on a single buy. Performance brands use it as their video anchor." (DeepSeek V4 Flash, comparative prompt, first choice)

## What the models said about LinkedIn Video Ads

- "While generally pricier, it can be cost-effective for B2B companies with targeted campaigns." (Claude Haiku 4.5, budget prompt, soft negative)
- "Not Ideal for Video-First Strategies" (Qwen 3.7 Flash, negative prompt, soft negative)
- "Primary: LinkedIn Video Ads for paid advertising (best ROI for B2B)" (Mistral Small, direct prompt, first choice)
- "I'd recommend starting with LinkedIn Video Ads for distribution" (MiniMax M2.5, direct prompt, first choice)
- "LinkedIn Video Ads for professional targeting and lead generation" (Mistral Small, paraphrase prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.