InternalHub

InternalHub is an AI-driven platform for optimizing internal links so your site becomes easier to crawl, better structured, and more semantically connected. Instead of guessing which pages should link to each other, InternalHub turns internal linking into a repeatable, measurable workflow. It analyzes your content and link graph to identify the most relevant pages to connect, helping you reinforce topical relationships and distribute authority more intentionally across your website.

The goal is simple: make internal linking strategic rather than accidental. By using machine learning techniques similar to what search engines rely on to evaluate relevance and connectivity, InternalHub recommends internal links that strengthen topic clusters and improve the way crawlers and users discover your content. This means important pages are less likely to be isolated, supporting better indexation and increasing the chance that more of your content can rank.

Using InternalHub is straightforward. You sign up, let the platform crawl your site, then use the link tool to generate internal link optimization suggestions. Those suggestions are designed to help you create coherent topical hubs, connect related articles and landing pages, and build a clearer hierarchy—without relying on intuition alone. InternalHub emphasizes repeatable results: run the process, apply the recommendations, and keep improving as your content grows. more