Multi-Entity

Theoretical Foundations
Multi-entity
Multi-Entity is a situation where a website processes multiple related entities, each requiring separate EAV analysis and attribute coverage.

Multi-Entity is a situation where a website processes multiple related entities (e.g., pools, pontoons, mattresses), each requiring separate EAV analysis and attribute coverage.

For example, intex.pl has CE 'Pools' but also handles pontoons and mattresses. Multi-entity requires cascading clustering: process one cluster (pools), save it, inform the agent about the existing structure, then add the next (pontoons). Throwing the entire product range into one process is certain failure — too many entities blur the embedding centroid and lower the Site Focus Score.

In practice with multi-entity, treat each entity as a separate project — separate CSI analysis, separate EAV, separate topical map. Then connect them cascadingly, maintaining hierarchy: the site's Central Entity > subordinate entities > their attributes. In navigation, each entity should have a separate section with separate breadcrumbs.

Source: AI Semantic SEO Expert, Robert Niechciał (sensai.io)