CustomerGauge vs AskNicely
Seven of fourteen models named CustomerGauge first on the direct prompt; zero named AskNicely. CustomerGauge was named by thirteen of the fourteen models and AskNicely by eight and CustomerGauge carries 22 labels and AskNicely 12, so the shares are not directly comparable.
Named in three categories 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 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
CustomerGaugeFirst choices, of fourteen modelsAskNicely
Across every category in the October 2026 Edition, CustomerGauge and AskNicely were named in the same answer eight times, of the 66 answers naming CustomerGauge and the 22 naming AskNicely. In those answers AskNicely took the first choice two times and CustomerGauge 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 4.20 | | |||||
| 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 | | |
CustomerGauge AskNicely first choice named as an alternative argued againstblank: not namedEach cell is one answer, CustomerGauge on the left and AskNicely on the right.The direct prompt
CustomerGauge first, AskNicely an alternative
7 of 14 modelsAskNicely was named in the answer but not as the choice, or not at all.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.Neither was named
2 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
CustomerGauge3%#9 of 14AskNicely2%#– of 14CustomerGauge24%#1 of 15AskNicely4%#8 of 15CustomerGauge28%#2 of 10AskNicely0%#– of 10What the models said about CustomerGauge
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“may be too heavy and expensive at your stage” DeepSeek V4 Flash · paraphrase prompt · hard negative
“CustomerGauge is the strongest default choice if your goal is to tie feedback directly to account health, churn reduction, and expansion revenue” Perplexity Sonar · direct prompt · first choice
“If your company's priority is deeply linking customer experience to account revenue and growth, invest in CustomerGauge.” Qwen 3.7 Flash · paraphrase prompt · first choice
“CustomerGauge is widely considered the top choice specifically for mid-market and enterprise B2B organizations.” Qwen 3.7 Flash · 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
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.