# AppLovin: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 17 judge labels across 2 categories by 9 of 12 models. Page: https://gtm-ai-index.com/vendors/applovin/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Mobile apps | 0% | 136 | 56% | 16 |
| Programmatic and display advertising | 0% | 29 | 0% | 1 |

## What the models said for it

- "major, vetted networks (e.g., Apple Search Ads, Google App Campaigns, Meta, TikTok, Unity Ads, AppLovin, Liftoff)" (Gemini 3.5 Flash, Mobile apps)
- "AppLovin/Liftoff for programmatic game/in-app scale" (Qwen 3.7 Flash, Mobile apps)
- "AppLovin (good filtering performance)" (Mistral Small, Programmatic)
- "For Gaming: AppLovin" (GLM 4.7 FlashX, Mobile apps)

## And against it

- "What to Avoid on a Budget - Programmatic DSPs (AppLovin, IronSource, Unity Ads) - require $10K+/month minimum" (Mistral Small, Mobile apps)
- "Avoid complex Demand-Side Platforms (DSPs) like AppLovin or Liftoff, which require high spend ($15k+/month)" (Qwen 3.7 Flash, Mobile apps)
- "Risk level: Very high - avoid unless you can conduct extensive independent verification" (Mistral Small, Mobile apps)
- "Avoid higher-volume platforms such as AppLovin and Liftoff on a very small budget" (Perplexity Sonar, Mobile apps)

## The company

AppLovin; https://www.applovin.com/; Palo Alto, United States; founded 2012; public, APP on Nasdaq. From Wikidata, fetched 2026-09-14.

## 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.