# We Made Our Website AI-Readable - Here's Why and How

- **Category:** AI
- **Date:** 2026-02-14
- **Read time:** 6 min

If you ask ChatGPT, Claude, or Perplexity about a business, they'll try to answer based on what they can find. The problem is that most websites are built for humans - full of JavaScript, animation libraries, navigation chrome, and Tailwind classes. AI systems have to wade through all of that to find the actual content. Most of the time, they get a garbled summary or miss key details entirely.

We decided to fix that for our own site. Here's what we did and why it matters.

## The problem: AI systems can't read your website well

When an AI crawler visits a typical Next.js site, it sees a massive HTML document with React hydration markers, SVG icons inline, CSS class soup, and the actual content buried somewhere in the middle. The signal-to-noise ratio is terrible.

This matters because AI-powered search is eating into traditional search. When someone asks Perplexity "what does VenTech do?" or asks ChatGPT for a recommendation on tech consultancies in Atlanta, the quality of the answer depends entirely on how well the AI could parse our site.

## What we built

We implemented three layers of AI-readability:

### 1. llms.txt - the front door for AI

The llms.txt standard is like robots.txt, but for AI systems. It's a simple text file at /llms.txt that tells AI crawlers: "Here's what this site is about, and here are the important pages."

### 2. llms-full.txt - the entire site in one request

For AI systems that want to ingest everything at once (common in RAG pipelines and AI assistants), we serve the full content of every page as a single markdown document at /llms-full.txt.

### 3. Middleware content negotiation - the invisible layer

We added Next.js middleware that detects AI crawlers by User-Agent and Accept header. When an AI crawler requests any page, the middleware returns clean markdown instead of HTML. Humans get the normal website.

## The technical details

- Markdown content generator pulling from the same data sources as React components
- Route handlers for /llms.txt and /llms-full.txt
- Catch-all API at /md/[path] for any page as markdown
- Edge middleware with proper Cache-Control and X-Robots-Tag: noindex headers
- About 700 lines of code, no external dependencies

## Why this matters for your business

If you're a service business, your website is increasingly being read by AI systems, not just humans. Making your site readable by these systems is the same kind of forward-thinking as implementing structured data (JSON-LD) was five years ago. Early adopters benefit disproportionately.