Customer feedback and surveys · October 2026 Edition
Alchemer vs AskNicely
Three of fourteen models named Alchemer first on the direct prompt; zero named AskNicely. Alchemer was named by nine of the fourteen models and AskNicely by eight and Alchemer carries 15 labels and AskNicely 12, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share5%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 15; printed, not drawn.
Labels1512A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Alchemer reading right to left. Rank and label count are printed, not drawn.CustomerGauge was named alongside these two in eleven of the fourteen direct answers. CustomerGauge vs Alchemer · CustomerGauge vs AskNicely · Google Forms vs Alchemer
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 customer feedback and surveys page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
AlchemerFirst choices, of fourteen modelsAskNicely
Direct30
Paraphrase02
Comparative00
Budget-constrained00
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Alchemer and AskNicely stood in it.
| 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 | | |||||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B |
Alchemer AskNicely first choice named as an alternative argued againstblank: not namedEach cell is one answer, Alchemer on the left and AskNicely on the right.The direct prompt
The plain question, one answer per model, grouped by where Alchemer and AskNicely stood in it.
Alchemer first, AskNicely an alternative
3 of 14 modelsAskNicely was named in the answer but not as the choice, or not at all.DeepSeek V4 FlashAlchemer alternatives: CustomerGauge, SurveyMonkey, Survicate
Kimi K2Alchemer, CustomerGauge alternatives: Retently, SurveyMonkey
GPT-6 LunaAlchemer alternatives: AskNicely, HubSpot Service Hub, SurveyMonkey
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Helply alternatives: Alchemer, Perspective AI, SurveySparrow, Survicate, Zonka Feedback
Gemini 3.5 FlashCustomerGauge, Survicate alternatives: AskNicely, Refiner
Perplexity SonarCustomerGauge alternatives: Alchemer, Chattermill, SurveySensum, Zonka Feedback
Grok 4.1 FastSurveyMonkey alternatives: Alchemer, Canny, Qualtrics CustomerXM, Refiner, Zonka Feedback
GLM 4.7 FlashXCustomerGauge alternatives: Alchemer, Chattermill, Zonka Feedback
Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniQualtrics CustomerXM, Survicate alternatives: CustomerGauge
Mistral SmallPerspective AI alternatives: CustomerGauge, SurveyMonkey, Typeform
Llama 4 MaverickCustomerGauge alternatives: Qualtrics CustomerXM, SurveyMonkey, Zonka Feedback
Qwen 3.7 FlashCustomerGauge alternatives: GetFeedback, SurveyMonkey, Zonka Feedback
MiniMax M2.5SurveyMonkey, Typeform alternatives: CustomerGauge, Qualaroo, Zonka Feedback
Muse Glimmer 30BCustomerGauge alternatives: SurveyMonkey, Survicate, Zonka Feedback
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
AskNicely leads by two points.
AskNicely2%#– of 14Alchemer0%#– of 14Mid-marketThe figures above
The order flips: Alchemer leads at mid-market.
Alchemer5%#7 of 15AskNicely4%#8 of 15Enterprise
What the models said about Alchemer
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“I'd recommend Alchemer as the best all-around choice — it hits the sweet spot of power and price” DeepSeek V4 Flash · direct prompt · first choice
“My default pick: Alchemer—for a mid-market B2B company that wants more than a basic survey tool” GPT-6 Luna · direct prompt · first choice
“Alchemer offers the best balance of capability and complexity.” Kimi K2 · direct prompt · first choice
What the models said about AskNicely
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“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
Also compared
CustomerGauge vs AlchemerCustomerGauge vs AskNicelyGoogle Forms vs AlchemerGoogle Forms vs AskNicelyRetently vs AlchemerRetently vs AskNicelySurvicate vs AlchemerSurvicate vs AskNicelySurveyMonkey vs AlchemerSurveyMonkey vs AskNicelySurveySparrow vs AlchemerSurveySparrow vs AskNicelyAll twenty-eight head-to-head pages and the full feedback standing
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.