OneSignal vs Customer.io
Five of fourteen models named OneSignal first on the direct prompt; six named Customer.io. OneSignal was named by fourteen of the fourteen models and Customer.io by eleven and OneSignal carries 62 labels and Customer.io 23, so the shares are not directly comparable.
By Q140701571, San Mateo, United States, founded 2011. Named in four categories this edition.
Named in ten categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 fourteen modelsCustomer.io
Across every category in the October 2026 Edition, OneSignal and Customer.io were named in the same answer ninety-four times, of the 348 answers naming OneSignal and the 199 naming Customer.io. In those answers Customer.io took the first choice twenty-two times and OneSignal thirty-eight.
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 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | | ||
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | | | | |
OneSignal Customer.io first choice named as an alternative argued againstblank: not namedEach cell is one answer, OneSignal on the left and Customer.io on the right.The direct prompt
OneSignal first, Customer.io an alternative
5 of 14 modelsCustomer.io was named in the answer but not as the choice, or not at all.Customer.io first, OneSignal an alternative
6 of 14 modelsOneSignal was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 of 14 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
OneSignal67%#1 of 18Customer.io4%#4 of 18OneSignal45%#1 of 14Customer.io19%#2 of 14OneSignal10%#2 of 12Customer.io3%#– of 12What the models said about OneSignal
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“OneSignal relies primarily on FCM for Android delivery, which creates reliability issues in markets like China where Google services are blocked.” Muse Glimmer 30B · negative prompt · soft negative
“Budget-friendly, easy setup, good for lean teams | Less enterprise depth for complex journeys” DeepSeek V4 Flash · scale prompt · soft negative
“Be cautious with: OneSignal (verify new pricing works for you)” Kimi K2 · negative prompt · soft negative
“I'd recommend OneSignal as the starting point—it's cost-effective, has strong deliverability, and handles both push and SMS well.” MiniMax M2.5 · direct prompt · first choice
What the models said about Customer.io
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“the industry consensus for a mid-market B2B company looking for a balance of features, ease of use, and cost-effectiveness is Customer.io” GLM 4.7 FlashX · direct prompt · first choice
“the industry consensus for the best overall balance of power and usability for mid-market B2B (especially SaaS) is Customer.io” Qwen 3.7 Flash · direct 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.