RPP Attribute Filtering

Theoretical Foundations
RPPRelevance Prominence Popularity
RPP Attribute Filtering selects entity attributes using three criteria: Relevance, Prominence, and Popularity—only those meeting all qualify.

RPP Attribute Filtering is a method for filtering entity attributes using three simultaneous criteria: Relevance (does the attribute define the entity?), Prominence (does it appear in top Google results?), and Popularity (does it have search volume?). All three conditions must be met. For example, 'pools Warsaw': does it define the entity? Yes.

Does it have volume? Yes. Does it fit the SC? Yes; we use it. RPP filtering prevents creating content about attributes that don't bring traffic.

In the clustering pipeline, RPP is applied after the EAV extraction tool and before Topical Mapping.

In practice, an attribute with high Popularity but low Relevance (like 'swimming lessons' for a pool manufacturer) is a trap—it'll attract traffic that won't convert and lower the Site Focus Score. Better to leave that topic to competitors with different Source Contexts.

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