# StackAdapt: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 134 judge labels across 9 categories by 12 of 12 models. Page: https://gtm-ai-index.com/vendors/stackadapt/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Programmatic and display advertising | 61% | 1 | 7% | 54 |
| Video advertising | 24% | 1 | 3% | 31 |
| Native and content advertising | 23% | 1 | 5% | 40 |
| Retail, proximity and IoT marketing | 2% | 23 | 0% | 1 |
| Data management platforms | 2% | 30 | 0% | 1 |
| Search and social advertising platforms | 2% | 19 | 0% | 3 |
| Account-based marketing platforms | 0% | 75 | 100% | 2 |
| Channel partner and local marketing | 0% | 90 | 0% | 1 |
| Video marketing and hosting | 0% | 29 | 0% | 1 |

## What the models said for it

- "StackAdapt appears frequently as a top recommendation for mid-market B2B companies specifically due to its balance of features and accessibility." (MiniMax M2.5, Paid ads)
- "I'd choose StackAdapt for most companies with a limited budget because it is the most consistently recommended *low-to-mid budget* platform" (Perplexity Sonar, Programmatic)
- "Highly regarded for its intuitive UI, excellent customer support, absence of heavy minimum spends, and robust AI-driven optimizations" (Gemini 3.5 Flash, Programmatic)
- "StackAdapt is a standout here. It requires no ad-ops specialist... For B2B / ABM campaigns: Start with StackAdapt." (Qwen 3.7 Flash, Programmatic)

## And against it

- "Why avoid: If CTV represents over 40% of planned spend, these platforms should be eliminated" (GLM 4.7 FlashX, Programmatic)
- "Avoid Taboola, Outbrain (now Teads), StackAdapt, and other premium platforms" (DeepSeek V4 Flash, Native ads)
- "Avoid platforms like StackAdapt (~$2,500+/month) initially" (MiniMax M2.5, Native ads)
- "StackAdapt if CTV is a major share of your budget, you need access to major walled gardens" (Perplexity Sonar, Programmatic)

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.