AI Chatbot for v0 — your app looks funded. Make it answer like it too
v0 turns a description into a real Next.js app, on real Vercel infrastructure, with a production URL and a design that would pass a review. Then a visitor asks something the interface does not cover, and the polish stops at the contact form. Asyntai closes that last gap with one script tag: a chatbot that answers using your own content, on every route, in the visitor's language.
Get Started Free See the 3-step installTry the chatbot on your published v0 app first
Enter the production URL of your v0 project and see how the chatbot would answer real visitor questions on it.
A v0 app raises expectations it then has to meet
Design is a promise. When someone lands on something built in v0 — typed layout, consistent components, fast first paint on Vercel — they read it as a company with a team behind it. They do not think about the fact that the whole thing was described into existence on a Tuesday. They think: these people are serious, so they will know the answer to my question.
That expectation is an asset right up to the moment it is tested. A visitor who cannot find whether you serve their country, or whether the plan they want includes the feature they need, has one of two experiences. Either the site tells them, or the site quietly reveals that the polish was only skin deep and there is nobody home behind it.
The design earned their trust in two seconds. A silent contact form gives it back just as fast.
A chatbot is the cheapest way to keep the promise. It reads the pages you already shipped, replies in the same breath as the question, and passes anything genuinely new to you with the email attached. It also travels: because it sits in the root layout, it works on every route v0 generated, including the ones you added last night.
How to add a chatbot to a v0 app in three steps
index.html. Open the built-in editor, go to app/layout.tsx, and paste the snippet inside <body>, just before it closes. Or ask in chat with the prompt below.Prefer to work locally? The snippet is ordinary HTML, so it travels through the GitHub integration like any other commit and comes back into v0 on the next sync. Either way, the install is a single paste and one deploy.
What your v0 chatbot does for visitors
Answers using your own content
It works from the pages you published and the documents you upload, so replies match what your app actually offers.
Qualifies before you wake up
Serious visitors get their answer and leave an email. The full conversation, not just the address, waits in your dashboard.
Global from day one
A Vercel deploy is fast everywhere, so your traffic is not local. The chatbot detects and replies in 30+ languages automatically.
Fits the design you generated
Colour, placement, greeting, and tone are configured in the dashboard, so the widget looks deliberate rather than bolted on.
Chatbot questions v0 users ask
How do I install it in a v0 project?
Paste the snippet at the end of <body> in app/layout.tsx using the built-in editor, or ask in chat, then Publish to Production.
Why the layout file and not index.html?
Next.js has no index.html. The root layout wraps every route, so one paste covers the whole app instead of one page.
Does it run on the vercel.app URL and custom domains?
Yes, and on preview deployments too, which makes it easy to check the chatbot before you promote the change to production.
Does GitHub sync break it?
No. It is code in your repository, so it moves in both directions with the sync and only disappears if a prompt rewrites the root layout.
What does it cost?
The free plan includes 100 messages per month. Higher limits and additional features are listed on pricing.
Building on something else?
The same snippet, the same five minutes, whichever builder produced the site.
Match the support to the interface
One script tag in the root layout, one deploy, and your app answers for itself on every route. Free to start.
Get Started Free