AI модели выбирают поддомены для локальных страниц из-за лени и вычислительных затрат

AI модели выбирают поддомены для локальных страниц из-за лени и вычислительных затрат

After many years of observing the religious wars over subdomain versus folders for local SEO, our data now shows a winner in the age of AI.

AI models show a clear preference for citing local pages built on subdomains, and I can tell you exactly why, раскрывает Christian Ward.

It’s a matter of pure computational efficiency.

The hypothesis is that AI views a subdomain as a short, specific, and self-contained page.

It doesn’t need to compute the entire folder hierarchy to understand the context of the asset.

Folder structures, on the other hand, force AI to burn computational cycles processing the path, making it «expensive» for crawling.

AI is lazy; they will always prefer the path of least resistance.

Our initial data shows that local sites using subdomains make up a disproportionately large percentage of what is cited in AI-generated responses for local queries.

This is not about classic SEO theory, but about making your data as cheap and easy to process for machines as possible.