NotientAI - AI social proof popups that adapt to every visitor
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AI social proof popups that adapt to every visitor's location automatically.
Mumbai visitor sees "Priya from Delhi just purchased." Austin visitor sees "James from Texas just signed up." Same widget. Zero manual work.
AI writes popup copy from your URL
Names adapt to visitor location
Spin wheel, coupons, quiz widgets
Analytics and weekly AI insights
Any website. 60 second setup.
7-day free trial from $9/mo.

Replies
RiteKit Company Logo API
@sanjux97 Smart wedge — generic "Peter from New York just bought" popups read as fake the moment a Mumbai or London visitor sees them, so making the social proof adapt to each visitor's location is a genuinely good fix. Writing the copy from the site URL removes the blank-box friction too. Launch tip: a short video on the page tends to convert better than screenshots, so I made you one from your own site:
Save it and add it to your launch if you like. It came from FoxPlug (https://foxplug.com), which turns your real build and launch activity into narrated videos and ready-to-post updates. Hope the launch goes brilliantly.
@saulfleischman This is incredibly thoughtful,
Thank you for taking the time to make this! You nailed exactly the core insight: generic popups break the illusion the moment a visitor sees a name that feels foreign to them.
That's the problem we built NotientAI to solve. The video is great. Really appreciate the launch day support 🙏
RiteKit Company Logo API
@sanjux97 Glad to help any, note that your launch page is editable, you can use the video in your ovrview's media. Lauches with a video tend to scor bette, I have found. Really love the adapting for each visitor, btw!
The generic "Peter from New York" problem is one of those things that becomes obvious the second someone names it, and stays invisible until they do. I've watched dozens of DTC brand websites and none of the social proof felt regionally believable, Mumbai visitors were getting Ohio names, London visitors getting Texas cities. Once you notice it, you can't unsee it.
The location-adaptation is the fix, but I'd push further on relevance. Beyond just location, there's a "person like me" signal that goes deeper than country match. A 24-year-old scrolling a hair serum ad feels closer to "Aisha, 26, just purchased" than "James, 52, just purchased", even if both are geographically local. Is there a path to demographic hints from the visitor context (session behavior, referrer, page), or is that a can-of-worms you're intentionally staying out of?
Also respect for naming the Stripe/Paddle rejection in a launch post. That's the kind of honest founder detail that makes a launch feel like a launch rather than a marketing exercise.