InLinks approaches internal linking from an entity-based perspective, which sets it apart from most tools in this category. It uses natural language processing to identify the entities (people, places, concepts, products) on each page of your site, builds a topic map of your content, and then suggests internal links that connect pages covering related entities. The underlying logic is that internal linking should reflect topical relationships, and InLinks automates the process of finding those relationships at scale.
The automatic schema generation is a useful additional feature. InLinks can generate and inject FAQ schema, Article schema, and other markup types based on its entity analysis, saving the manual work of writing JSON-LD for each page. This makes it a two-in-one tool for both internal linking and structured data.
The content editor, called the Content Optimiser, provides semantic writing guidance similar to tools like Surfer or Clearscope, suggesting entities and topics to cover based on competitor analysis. I find the entity-based framing of InLinks genuinely interesting, and for sites where topical authority is a strategic priority, the tool’s approach is intellectually sound. At $44 per month it’s accessible, though the feature set is deeper than many tools at that price point and takes some time to learn. For content operations serious about building topical authority through structured internal linking, InLinks offers a distinctive and well-reasoned approach.