A Developer-Friendly AI Chatbot for Next.js Apps
Integrating a chatbot into a Next.js application should feel as natural as importing a component. Chatloom loads via the Next.js Script component with the afterInteractive strategy, so it never blocks your SSR render or inflates your bundle. Train it on your docs, customize the widget, and ship intelligent support alongside your Next.js app.
Pourquoi utiliser Chatloom sur Next.js ?
Un chat IA conçu sur mesure pour les sites et applications Next.js.
Next.js Script Component Integration
Use Next.js's built-in Script component with strategy="afterInteractive" to load Chatloom. It follows Next.js best practices for third-party scripts, keeping your Lighthouse scores intact.
SSR and SSG Compatible
Chatloom loads entirely on the client side and does not interfere with server-side rendering or static site generation. Your getServerSideProps and getStaticProps run unaffected.
React-Friendly Architecture
The widget mounts and unmounts cleanly with React lifecycle. No memory leaks, no stale event listeners, no conflicts with your React state management or routing.
TypeScript Support
Chatloom exposes TypeScript-compatible global types for the widget API, so you get autocompletion and type safety when programmatically controlling the chatbot from your Next.js code.
Comment ajouter Chatloom à Next.js
Soyez opérationnel en quelques minutes grâce à ces étapes simples.
Create and Train Your Agent
Sign up for Chatloom, create an agent, and train it on your documentation, product content, or any URLs you want the chatbot to know about.
Add the Script Component
Import next/script in your layout or page file. Add <Script src="https://chatloom.app/widget.js" data-agent-id="YOUR_ID" strategy="afterInteractive" /> to your component tree.
Customize Appearance and Behavior
Use data attributes or the Chatloom dashboard to set widget colors, position, greeting message, and launcher mode. All settings sync automatically.
Deploy
Deploy your Next.js app to Vercel, Netlify, or any hosting platform. The chatbot loads after hydration and is ready to assist your users.
Fonctionnalités pour Next.js
Tout ce qu’il vous faut pour ajouter un chat IA à votre site Next.js.
- Native Next.js Script component with afterInteractive strategy
- Async loading that never blocks SSR or SSG builds
- SSR and SSG compatible with zero hydration conflicts
- TypeScript type definitions for the widget API
- React lifecycle compatible with clean mount/unmount
- Fully customizable widget via data attributes or dashboard
- Analytics API for integrating chatbot data into your stack
- Human handoff with operator notification support
Questions fréquentes
- How do I add Chatloom to a Next.js app?
- Import Script from next/script and add <Script src="https://chatloom.app/widget.js" data-agent-id="YOUR_ID" strategy="afterInteractive" /> to your root layout or any page component. Deploy and it is live.
- Does it work with the Next.js App Router?
- Yes. Chatloom works with both the Pages Router and the App Router. For App Router, add the Script component to your root layout.tsx so the chatbot persists across route changes.
- Will it affect my Next.js Lighthouse scores?
- No. The afterInteractive strategy ensures the script loads after the page becomes interactive, so it does not impact First Contentful Paint, Largest Contentful Paint, or Total Blocking Time.
- Can I control the chatbot programmatically?
- Yes. Chatloom exposes a global window.ChatloomWidget API that lets you open, close, send messages, and listen to events programmatically from your React components.
- Does it work with Next.js middleware or edge functions?
- Chatloom is a client-side widget and does not interact with Next.js middleware or edge functions. It loads in the browser after hydration, so your server-side logic runs independently.
- Is there a React component version?
- Currently Chatloom integrates via the Script component and embed snippet. A dedicated React component package is on the roadmap. In the meantime, you can wrap the Script tag in a custom React component for cleaner abstraction.
Ressources associées
Avertissement : All platform information is based on publicly available data as of early 2026 and may have changed. Features and capabilities are approximate. Always verify current information on each platform's website. All product names are property of their respective owners.