AI NPS Survey Builder
Build NPS surveys that reveal how loyal your customers really are
NVIDIA: Nemotron 3 Super
Balanced Nemotron for demanding everyday work
NEW
FREE
Your prompt will appear here…
Your beautifully formatted article will appear here once you generate.
No history yet
Your generations will appear here. Sign in to save them permanently.
Want to know if customers would actually recommend you, not just whether they liked their last visit? Struggling to write that one recommend question and the follow-up that explains the score? And how do you thank a fan and a critic in the same survey?
Short answer: The AI NPS Survey Builder writes a complete Net Promoter Score survey around the classic zero to ten recommend question. You describe your product, pick a channel and follow-up style, and it returns the score question, the reason prompt, and score-aware thank-you messages.
What is AI NPS Survey Builder?
The AI NPS Survey Builder is a free tool on AIToolsay that builds a ready Net Promoter Score survey from a short brief. NPS asks one core question: how likely are you to recommend us to a friend or colleague, on a scale of zero to ten. This tool writes that question and everything around it.
That single scale sorts people into three groups. Scores of nine and ten are promoters, seven and eight are passives, and zero to six are detractors. The AI NPS Survey Builder knows this structure, so it can branch the follow-up and the thank-you by where a person lands.
You get more than the headline question. You get the reason prompt that turns a bare number into a story, plus wording tuned to the channel you send it through.
Why Use AI NPS Survey Builder?
An NPS survey looks simple, but the details decide whether it works. Ask the recommend question the wrong way and the score means nothing. Skip the reason and you learn a number with no story behind it. The AI NPS Survey Builder gets these right in one pass.
Here is what it saves you:
- A correctly worded zero to ten recommend question, the heart of NPS.
- A follow-up that captures the reason behind the score.
- Thank-you messages that fit promoters, passives, and detractors differently.
- Wording sized for email, in-app, SMS, or a post-support prompt.
Because the recommend scale is a standard, your results stay comparable over time and against other teams. The AI NPS Survey Builder keeps that standard intact while doing the writing for you.
Note NPS measures loyalty and word of mouth, not how one interaction went. If you want to rate a single chat or checkout, that is a satisfaction question, not a recommend question. Use NPS for the relationship, not the moment.
Who Should Use It?
The AI NPS Survey Builder suits anyone tracking loyalty rather than a one-off reaction:
- SaaS and product teams watching whether customers stay and refer others.
- E-commerce brands measuring loyalty after a run of orders.
- Customer success managers who report NPS to leadership.
- Founders who want an early loyalty signal without hiring a research firm.
- Support leads adding a post-support recommend check to their flow.
How Does AI NPS Survey Builder Work?
The tool runs on the standard AIToolsay working surface, so the flow is short and familiar.
- Prompt input area. Tell it about your product or brand, such as "B2B project-management app for small teams".
- AI model selector. Choose the engine first. You can pick MSB AI, OpenAI ChatGPT, Google Gemini, Anthropic Claude AI, xAI Grok AI, DeepSeek, Qwen, Meta AI, NVIDIA AI, OpenRouter AI, or MiniMax.
- Advanced options accordion. Open it to set the channel, tone, follow-up style, industry, the four toggles, and the detail level. Every option is covered below.
- Generate button. This sends your brief through the built-in prompt engineering that tells the model to build a proper NPS survey.
- Output card. The recommend question, follow-ups, and thank-you lines appear in a card with a live word count.
- Export tools. Download the survey as DOC, TXT or HTML, or use Copy, Listen, Reuse and Download on the result.
- Activity history panel. Earlier versions from this session stay below, so you can compare an email build with an in-app one.
Key Features
Zero to ten scale
The core recommend question is worded to the NPS standard, so scores stay comparable.
Reason follow-up
A "why" prompt turns each score into a reason you can act on, not just a number.
Score-aware thanks
Promoters, passives, and detractors each get a thank-you that fits their score.
Channel fit
Wording sized for email, in-app, SMS, website popup, or a post-support prompt.
Model choice
Switch between eleven AI models to find the tone and length you like best.
Save and reuse
Export to DOC, TXT or HTML, or reuse an earlier build from the session history.
Setting Channel, Follow-Up, And Detail Level
The advanced options shape how your NPS survey reads and how deep it goes. Set them to match where and how you will send it.
| Option | What it controls | When to change it | Suggested starting point |
|---|---|---|---|
| Survey Channel | Where the survey is sent | Always, so wording fits the medium | Email, the most common NPS channel |
| Tone | How the survey reads | To sound warmer or more businesslike | Friendly, which lifts response rates |
| Follow-Up Style | How the reason is captured | To match how much you will analyse | Reason + Open Text, a solid default |
| Industry | The context and examples used | To fit your sector's language | Pick your own; SaaS / Tech if unsure |
| Custom Instructions | Free-text extra requirements | To add rules the dropdowns miss | Try "Mention our referral program to promoters" |
| Segment thank-you by score | Different close for each score group | When you want to reward promoters | On, since a fan and a critic need different words |
| Ask for the reason behind the score | Adds the "why" prompt | Almost always | On, so a number becomes insight |
| Invite promoters to review | Asks high scorers for a public review | When reviews matter to you | On for consumer brands |
| Offer follow-up contact | Lets detractors ask for a reply | When you can close the loop | On if your team can respond |
| Detail Level | How much the survey includes | To keep it lean or go deeper | Standard, the default, which covers the essentials |
Caution Keep the recommend question exactly zero to ten. If you shrink it to a one to five scale, your result is no longer a true Net Promoter Score and you cannot compare it to industry benchmarks.
Reading The Three Score Groups
NPS turns raw scores into three groups. This is why the score-aware thank-you and follow-up matter.
| Score | Group | What it signals |
|---|---|---|
| 9 to 10 | Promoters | Loyal fans likely to refer you |
| 7 to 8 | Passives | Satisfied but not enthusiastic |
| 0 to 6 | Detractors | At risk, and may warn others off |
Best Use Cases
- A quarterly loyalty survey sent by email to your customer base.
- An in-app recommend prompt after someone hits a milestone.
- A post-support NPS check once a ticket is closed.
- An SMS pulse for a hospitality or travel brand after a stay.
- Tracking loyalty over time so you can spot a trend, not just a snapshot.
Example Inputs and Outputs
Here is a worked example, then a trimmed version of what comes back.
Prompt: B2B project-management app for small teams.
Model: OpenAI ChatGPT
Survey Channel: Email
Follow-Up Style: Reason + Open Text
Detail Level: Standard
Toggles on: Segment thank-you by score, Ask for the reason, Offer follow-up contactHow likely are you to recommend our app to a friend or colleague? (0 = Not at all likely, 10 = Extremely likely) What is the main reason for your score? (open text) [If 0 to 6] Thanks for the honest feedback. Would you like a member of our team to reach out? [If 9 to 10] Wonderful, thank you. Would you share a quick review with others?
Notice the scale is a true zero to ten, the reason prompt follows the score, and the closing line changes with the group. That is the NPS structure done for you.
Tips and Common Mistakes
What works well
- Keep the recommend question at zero to ten so scores stay standard.
- Always ask for the reason, or you learn a number with no story.
- Segment the thank-you so promoters and detractors feel heard.
- Match the channel setting to where you actually send the survey.
What to watch for
- Turning NPS into a satisfaction rating for one interaction.
- Inviting promoters to review when you have no place for reviews.
- Offering follow-up contact your team cannot actually deliver.
- Comparing a shortened scale against real NPS benchmarks.
Run through this quick checklist before you send:
- ✅ Recommend question sits on a full zero to ten scale
- ✅ Reason follow-up switched on
- ✅ Thank-you segmented by score group
- ✅ Channel set to match where it goes out
Comparison Table
| Task | Writing it yourself | AI NPS Survey Builder |
|---|---|---|
| Correct zero to ten question | Easy to get wrong | Standard every time |
| Reason follow-up | Often forgotten | Yes, on toggle |
| Score-aware thank-you | Rarely done | Yes, on toggle |
| Channel-specific wording | Manual rewrite | Yes |
| Time to a ready survey | Slow | Seconds |
Pro tip NPS tells you the relationship. To measure a single support chat or checkout, pair it with the AI CSAT Question Generator, which writes the short satisfaction rating for that exact moment.
AIToolsay is a free AI platform where every tool is free to use with no account, no credit counter and no daily limit. You can run the AI NPS Survey Builder as often as you like and switch between eleven AI models on one screen to find the wording you prefer. When you need broader questions beyond the recommend scale, the AI Survey Question Generator writes a full mixed survey on any topic. Everything runs in your browser at AIToolsay, with export, listen and reuse built into each result.
Frequently Asked Questions
Is the AI NPS Survey Builder free to use?
Yes. The AI NPS Survey Builder is free on AIToolsay. You do not need an account, and there is no cap on how many surveys you can build.
What scale does the recommend question use?
The classic zero to ten scale, where zero means not at all likely and ten means extremely likely. That is what makes the result a real Net Promoter Score.
How are promoters, passives, and detractors defined?
Scores of nine and ten are promoters, seven and eight are passives, and zero to six are detractors. The tool can tailor the thank-you to each group.
Can it write the reason follow-up too?
Yes. Turn on Ask for the reason behind the score and the AI NPS Survey Builder adds an open prompt so each score comes with an explanation.
Which channel should I choose?
Set Survey Channel to match how you send it, such as email, in-app, SMS, website popup, or post-support. The wording adjusts to fit.
Is NPS the same as a satisfaction score?
No. NPS measures loyalty and likelihood to recommend, while a satisfaction score rates one interaction. Use NPS for the relationship over time.
NPS is one number that a whole leadership team can rally around, but only if the survey behind it is built right. The AI NPS Survey Builder keeps the zero to ten scale honest, adds the reason that gives the score meaning, and closes with words that fit each group. That is a proper loyalty survey, ready in one step.
Thanks for reading this far, and I hope your next score comes with answers you can act on. Come and join the AIToolsay community, follow AIToolsay on social media, switch on push notifications for new tools, and subscribe to the newsletter so the useful updates reach you first.
Let AI Speak.
Sabir
Founder of AIToolsay and a passionate AI enthusiast dedicated to building practical, user-friendly AI tools that simplify everyday tasks.
Can't find the tool you need?
Tell us what you need and we will build it. New tools ship every week.
Request a Tool