Retently vs AskNicely
Two of twelve models named Retently first on the direct prompt; zero named AskNicely. Retently was named by eight of the twelve models and AskNicely by eleven and Retently carries 12 labels and AskNicely 20, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 customer feedback and surveys page.
By framing
RetentlyFirst choices, of twelve modelsAskNicely
Across every category in the September 2026 Edition, Retently and AskNicely were named in the same answer nine times, of the 23 answers naming Retently and the 37 naming AskNicely. In those answers AskNicely took the first choice zero times and Retently four.
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 | |
Retently AskNicely first choice named as an alternative argued againstblank: not namedEach cell is one answer, Retently on the left and AskNicely on the right.The direct prompt
Retently first, AskNicely not the choice
2 of 12 modelsAskNicely was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
Retently9%#6 of 15AskNicely0%#12 of 15AskNicely2%#– of 10Retently0%#– of 10What the models said about Retently
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“For B2B-Specific Focus: Retently offers separate B2B and Ecommerce tracks, each with tailored integrations” Claude Haiku 4.5 · paraphrase prompt · first choice
“Start with Retently (or SurveySparrow for a more budget-friendly, general option)” DeepSeek V4 Flash · direct prompt · first choice
“Top Recommendation: Retently ... best overall fit for a mid-sized B2B company” DeepSeek V4 Flash · paraphrase 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. Four of five in this category shown.
“Avoid for low budgets: ... AskNicely \u2014 all skew enterprise-priced.” DeepSeek V4 Flash · budget prompt · hard negative
“Best balance for most mid-sized B2B teams: AskNicely” GPT-5.4 mini · paraphrase prompt · first choice
“I'd suggest starting with AskNicely or Delighted” MiniMax M2.5 · paraphrase prompt · first choice
“if your company is more service-led and you care most about frontline coaching” Perplexity Sonar · paraphrase prompt · alternative
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.