How AI Crawlers Read Your Website: Preparing Content for LLMs

One thing surprised us while building Ollagraph.

Most websites are designed for people and search engines—but not for AI.

As more developers build AI agents, RAG pipelines, and LLM-powered applications, the web is changing. Instead of humans reading every page, AI systems are becoming the first reader.

That made us ask a simple question:

What does an AI crawler actually see when it visits a website?

After testing hundreds of pages, we noticed a pattern.

Many websites look great in a browser but are surprisingly difficult for AI systems to understand.

Some common issues we kept seeing:

• Navigation menus larger than the actual content.

• JavaScript-heavy pages that delay or hide important information.

• Huge amounts of boilerplate HTML surrounding a few useful paragraphs.

• Inconsistent headings and page structure.

• Important pricing or documentation split across multiple pages.

• Product pages that never clearly explain what the product actually does.

For a human, these aren't major problems.

For an AI model trying to retrieve accurate information, they can make a big difference.

The cleaner and more structured a page is, the easier it becomes for an AI system to identify the important information.

That's one of the reasons we're building Ollagraph.

Our goal isn't just to scrape websites. We want to help developers work with web content that's already organized, structured, and ready for AI applications.

Along the way, we've also started thinking differently about how we build our own websites.

Some principles we're following now:

• Put the primary value proposition near the top of the page.

• Use clear H1, H2, and H3 headings.

• Keep product descriptions consistent across every platform.

• Make pricing easy to find.

• Publish documentation that answers real developer questions.

• Reduce unnecessary HTML and repetitive page elements.

• Create comparison and tutorial pages that solve specific problems.

Interestingly, these changes don't just help AI.

They also improve the experience for human visitors.

The more we work on Ollagraph, the more we believe that AI optimization isn't about gaming AI models.

It's about making information easier to understand.

If an AI assistant can quickly understand your product, chances are your customers can too.

I'm curious how others are approaching this.

Have you changed the way you structure your documentation or landing pages because of AI search?

Or are you still treating AI crawlers the same way we used to treat traditional search engines?