# Airship: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 49 judge labels across 4 categories by 12 of 12 models. Page: https://gtm-ai-index.com/vendors/airship/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Mobile marketing and push | 0% | 25 | 32% | 22 |
| Mobile apps | 0% | 20 | 15% | 13 |
| In-app messaging and customer communications | 0% | 108 | 50% | 8 |
| Retail, proximity and IoT marketing | 0% | 27 | 0% | 6 |

## What the models said for it

- "Choose Airship if your priority is mobile app push + rich mobile engagement." (GPT-5.4 mini, Mobile & push)
- "Type B: The "Marketing Powerhouses" ... Braze, Airship, Branch ... Cons: Expensive. Implementation can take months." (Qwen 3.7 Flash, Mobile & push)
- "For Mobile-First/App-Led B2B: Airship ... Airship or Braze for deep mobile engagement" (Kimi K2, Mobile apps)
- "Known for predictive send-time, lifecycle tooling, and broad mobile channels including SMS." (Perplexity Sonar, Mobile & push)

## And against it

- "flag Braze, Airship, CleverTap, Iterable, and often MoEngage as platforms to avoid initially unless you truly need enterprise-grade omnichannel automation" (Perplexity Sonar, In-app messaging)
- "steer clear of "Enterprise" giants (like Salesforce Marketing Cloud or Airship)" (Qwen 3.7 Flash, Mobile & push)
- "Airship, Iterable — also enterprise-oriented, opaque quote pricing" (DeepSeek V4 Flash, Mobile apps)
- "Airship | Complex, expensive, mobile-first (not B2B-optimized)" (Kimi K2, Mobile apps)

## The company

Airship; https://www.airship.com/; Portland, United States; founded 2009. 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.