---
title: Introduction
description: What next-ai-ready is and why it exists.
canonical_url: https://next-ai-ready.vercel.app/en/docs/introduction
url: https://next-ai-ready.vercel.app/en/docs/introduction
last_updated: 2026-06-02
updated: 2026-06-02
author: next-ai-ready team
summary: What next-ai-ready is and why it exists.
topics: [next.js, aeo, introduction]
---

# Introduction

Traditional websites are built for browsers. `next-ai-ready` makes your Next.js site **readable by AI** and **callable by agents**.

## The problem

Search is changing. Users increasingly get answers from AI systems. Standard SEO remains essential, while clean machine-readable representations give AI consumers another reliable way to discover and retrieve your content.

At the same time, AI agents are emerging. They need to **call your features** — not just read your pages. But there's no standard way to expose Next.js functionality to agents.

## The solution

`next-ai-ready` is the **AEO + Agent-API layer** for Next.js. One config file, zero changes to your UI:

- **Knowledge Plane** — your content becomes AI-readable via `llms.txt`, per-page Markdown, JSON-LD
- **Capability Plane** — your features become AI-callable via OpenAPI, MCP, `tools.json`

## How it works

```bash
pnpm add next-ai-ready
npx next-ai-ready init
npx next-ai-ready build
```

The `init` command scaffolds route handlers and a config file. The `build` command scans your MDX content and compiles everything into the artifacts AI consumers need.

These artifacts improve technical accessibility. They do not guarantee indexing, ranking, citation, or inclusion in an AI-generated answer.

Your existing UI is untouched. The framework adds **new routes** that serve AI-optimized representations of your content and capabilities.

## What you get

| Artifact        | Consumer                      |
| --------------- | ----------------------------- |
| `/llms.txt`     | AI search crawlers            |
| `/sitemap.md`   | Agent-readable page discovery |
| `/openapi.json` | Agent frameworks              |
| `/api/mcp`      | Claude Desktop, Cursor        |
| `/<page>.md`    | RAG pipelines                 |
| `JSON-LD`       | Search engines                |
| `/tools.json`   | OpenAI tool format            |