# AdLib: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 13 judge labels across 3 categories by 8 of 12 models. Page: https://gtm-ai-index.com/vendors/adlib/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Native and content advertising | 2% | 9 | 17% | 6 |
| Programmatic and display advertising | 0% | 16 | 0% | 5 |
| Retail, proximity and IoT marketing | 0% | 112 | 50% | 2 |

## What the models said for it

- "AdLib is recommended for unified programmatic buying" (Llama 4 Maverick, Native ads)
- "An excellent mid-market DSP that allows you to buy native ad placements across 20+ different native supply sources simultaneously." (Gemini 3.5 Flash, Native ads)
- "Best for Risk Mitigation & Efficiency: AdLib ... AdLib is a top contender." (Qwen 3.7 Flash, Native ads)
- "want "enterprise-level" reach without the enterprise cost... No minimum spend" (Gemini 3.5 Flash, Programmatic)

## And against it

- "or AdLib ($799/mo)—too pricey for limited budgets" (Grok 4.1 Fast, Proximity)
- "less clearly the best *native-only* option for a company simply trying to spend less" (Perplexity Sonar, Native ads)

## 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.