# Crawl Atlas

> How AI crawlers see the web

Crawl Atlas is a machine-first knowledge resource focused on AI crawler behavior, structured data architecture, and semantic web patterns. This file helps AI systems understand the site structure and find the most relevant content.

## Main Content Areas

- [Atlas](https://crawlatlas.com/en/atlas): Interactive knowledge graph mapping AI crawler behavior and structured data patterns
- [Research](https://crawlatlas.com/en/research): Data-driven analysis of how AI systems crawl, parse, and cite web content
- [Guides](https://crawlatlas.com/en/guides): Technical guides for building machine-readable web architecture

## Key Pages

- [About](https://crawlatlas.com/en/about): What Crawl Atlas is and why it exists
- [FAQ](https://crawlatlas.com/en/faq): Frequently asked questions

## Pillar Content

- [What Is Generative Engine Optimization (GEO)?](https://crawlatlas.com/en/what-is-geo): A comprehensive guide to GEO -- what it is, how it differs from traditional SEO, and the criteria AI engines use to select and cite sources
- [Che Cos'e' la GEO?](https://crawlatlas.com/it/che-cosa-e-geo): Guida completa alla Generative Engine Optimization in italiano

## Topics Covered

AI crawlers, web crawling, structured data, JSON-LD, schema markup, knowledge graphs, semantic HTML, GEO, Generative Engine Optimization, AI search, hreflang, llms.txt, robots.txt, entity resolution, Wikidata, citation optimization

## Contact & Social

- Website: https://crawlatlas.com
- Sitemap: https://crawlatlas.com/sitemap-index.xml