# SurveyMonkey vs AskNicely: which do AI models recommend for feedback, October 2026

GTM AI Recommendation Index, October 2026 Edition, Customer feedback and surveys. Two of fourteen models named SurveyMonkey first on the direct prompt; zero named AskNicely. Page: https://gtm-ai-index.com/customer/customer-feedback-and-surveys/surveymonkey-vs-asknicely/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| SurveyMonkey | 5% | #5 of 15 | 26% | 54 | 14 of 14 |
| AskNicely | 4% | #8 of 15 | 0% | 12 | 8 of 14 |

## The direct prompt, model by model

- Grok 4.1 Fast: surveymonkey first (first choices: SurveyMonkey) (alternatives: Alchemer, Canny, Qualtrics CustomerXM, Refiner, Zonka Feedback)
- MiniMax M2.5: surveymonkey first (first choices: SurveyMonkey, Typeform) (alternatives: CustomerGauge, Qualaroo, Zonka Feedback)
- Gemini 3.5 Flash: neither first, one named (first choices: CustomerGauge, Survicate) (alternatives: AskNicely, Refiner)
- Mistral Small: neither first, one named (first choices: Perspective AI) (alternatives: CustomerGauge, SurveyMonkey, Typeform)
- DeepSeek V4 Flash: neither first, one named (first choices: Alchemer) (alternatives: CustomerGauge, SurveyMonkey, Survicate)
- Llama 4 Maverick: neither first, one named (first choices: CustomerGauge) (alternatives: Qualtrics CustomerXM, SurveyMonkey, Zonka Feedback)
- Qwen 3.7 Flash: neither first, one named (first choices: CustomerGauge) (alternatives: GetFeedback, SurveyMonkey, Zonka Feedback)
- Kimi K2: neither first, one named (first choices: Alchemer, CustomerGauge) (alternatives: Retently, SurveyMonkey)
- GPT-6 Luna: neither first, one named (first choices: Alchemer) (alternatives: AskNicely, HubSpot Service Hub, SurveyMonkey)
- Muse Glimmer 30B: neither first, one named (first choices: CustomerGauge) (alternatives: SurveyMonkey, Survicate, Zonka Feedback)
- Claude Haiku 4.5: neither named (first choices: Helply) (alternatives: Alchemer, Perspective AI, SurveySparrow, Survicate, Zonka Feedback)
- GPT-5.4 mini: neither named (first choices: Qualtrics CustomerXM, Survicate) (alternatives: CustomerGauge)
- Perplexity Sonar: neither named (first choices: CustomerGauge) (alternatives: Alchemer, Chattermill, SurveySensum, Zonka Feedback)
- GLM 4.7 FlashX: neither named (first choices: CustomerGauge) (alternatives: Alchemer, Chattermill, Zonka Feedback)

## What the models said about SurveyMonkey

- "businesses often migrate away from SurveyMonkey for three critical reasons: Aggressive Cost Scaling... Data Privacy Concerns" (Qwen 3.7 Flash, negative prompt, hard negative)
- "Avoid or Approach with Extreme Caution (High Risk of Issues): SurveyMonkey: Frequent complaints about aggressive pricing" (Grok 4.1 Fast, negative prompt, hard negative)
- "stop using SurveyMonkey for anything involving sensitive, regulated, or personally identifiable feedback." (MiniMax M2.5, negative prompt, hard negative)
- "The all-around survey platform. Strong analytics, 200+ integrations and a template library that covers almost every use case." (Muse Glimmer 30B, comparative prompt, first choice)
- "Choose SurveyMonkey if you want the best mix of ease, flexibility, and standard survey features." (GPT-5.4 mini, comparative prompt, first choice)
- "the strongest balance of affordability and capability comes from SurveyMonkey ($18/month)" (Claude Haiku 4.5, budget prompt, first choice)

## What the models said about AskNicely

- "AskNicely – if you want something simpler with strong B2B fundamentals" (MiniMax M2.5, paraphrase prompt, first choice)
- "My default pick would be AskNicely for a mid-sized B2B company" (GPT-6 Luna, paraphrase prompt, first choice)
- "AskNicely if your main goal is to run simple, action-oriented NPS with less complexity" (GPT-5.4 mini, paraphrase prompt, alternative)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.