Why Markdown Matters for AI

When working with AI systems, especially large language models, format matters more than most people realize.

Feeding raw HTML to an AI model is like paying by the word to read packaging instead of the letter inside.

HTML brings:

• CSS classes
• IDs
• Layout wrappers
• Tracking metadata

All of this inflates token usage.

A heading in HTML:

<h2 class="section-title" id="about">About Us</h2>

In Markdown:

## About Us

Across a full article this becomes dramatic:

• HTML: ~16,180 tokens
• Markdown: ~3,150 tokens

Cleaner input = cheaper + smarter AI.

Meet Markdown.new

Markdown.new converts any webpage into clean, structured Markdown.

Just prepend:

https://markdown.new/

Example:

https://markdown.new/https://example.com

No extensions.
No setup.
No scraping pipelines.

Why This Matters for Builders

If you are:

• Building RAG pipelines
• Creating embeddings
• Running LLM agents
• Processing web data

Raw HTML silently increases:

• Token cost
• Context noise
• Chunking complexity

Markdown.new removes presentation and keeps meaning.

Fast. Free. Effortless.

One URL change.

That’s it.

Final Thoughts

LLMs don’t care about layouts.

They care about content.

Markdown is the ideal bridge between web pages and AI systems — and Markdown.new makes that bridge instant.