Information Gain

Micro-semantics (passage level)
Information Gain
Information Gain measures how much new, unique information a text fragment contributes compared to what already exists in the search engine's index.

Information Gain measures how much new, unique information a text fragment contributes compared to what already exists in the search engine's index.

For example, 'Krakow Aquapark is a great place' has low Information Gain, while 'The Krakow Aquapark has 8 slides, the longest at 182 m, with the shortest queues on Tuesdays before 10:00 AM' has high Information Gain due to specific, first-hand measurements. Rare and unique attributes identified through Entity-Attribute-Value (EAV) analysis are the primary source of Information Gain.

Information Gain directly supports E-E-A-T, especially Experience. Personal experiences and original data generate knowledge unavailable elsewhere, creating content that search engines can't find in the index.

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