OneSignal vs MoEngage
Three of twelve models named OneSignal first on the direct prompt; zero named MoEngage. OneSignal was named by twelve of the twelve models and MoEngage by six and OneSignal carries 51 labels and MoEngage 11, so the shares are not directly comparable.
By Q140701571, San Mateo, United States, founded 2011. Named in three categories this edition.
founded 2014. Named in six categories this edition.
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; every quote names the model and the prompt it came from. Both figures come from the mobile marketing and push page.
By framing
OneSignalFirst choices, of twelve modelsMoEngage
Across every category in the September 2026 Edition, OneSignal and MoEngage were named in the same answer seventy-nine times, of the 314 answers naming OneSignal and the 116 naming MoEngage. In those answers MoEngage took the first choice one time and OneSignal twenty-three.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | | |
OneSignal MoEngage first choice named as an alternative argued againstblank: not namedEach cell is one answer, OneSignal on the left and MoEngage on the right.The direct prompt
OneSignal first, MoEngage not the choice
3 of 12 modelsMoEngage was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 of 12 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
OneSignal59%#1 of 19MoEngage0%#– of 19OneSignal34%#1 of 17MoEngage2%#6 of 17What the models said about OneSignal
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Several reviewers explicitly advise avoiding the platform.” Qwen 3.7 Flash · negative prompt · hard negative
“Before choosing any mobile push notification platform (like OneSignal or Airship), pay close attention to the SDK architecture.” Gemini 3.5 Flash · negative prompt · soft negative
“2. OneSignal ⚠️ Scaling Limitations - Support Issues: Users report "often unresponsive" support” Kimi K2 · negative prompt · soft negative
“OneSignal stands out as the best option for a company with a limited budget needing both mobile push notifications and SMS marketing.” Grok 4.1 Fast · budget prompt · first choice
“Best for: Startups and mid-market teams needing fast setup across multiple channels ... Fast, free start for a mobile app | OneSignal” DeepSeek V4 Flash · comparative prompt · first choice
“Have them run 14-day trials or custom sandboxes with OneSignal (for ease of setup/cost-efficiency) and Customer.io or Braze” Gemini 3.5 Flash · scale prompt · first choice
What the models said about MoEngage
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“If you are a startup, mid-market business, or have a small engineering team, these platforms are massive overkill.” Gemini 3.5 Flash · negative prompt · soft negative
“OneSignal Professional, CleverTap, Customer.io, or MoEngage deliver enterprise-grade capabilities at a fraction of the cost” DeepSeek V4 Flash · scale prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.