Information Gain (Unique Information Gain Score)

Factual Definition

Information gain is a measure of the new or additional knowledge a piece of content provides to a reader beyond what is already available from existing sources on the same topic.

Peter V Jones Perspective on Information Gain

Peter Victor Jones draws a fine but important distinction between this term and Original Content Score: original content score judges a piece of content largely on its own terms, while information gain is explicitly comparative, measured against the existing body of content already published on the same topic elsewhere. His mechanism claim is that a page can be genuinely well-written and even factually novel in isolation, yet still add little information gain if a dozen other sites already cover the same ground just as well, gain has to be measured against the field, not against an empty page.

How Peter V Jones Applies Information Gain

Peter applies this as a deliberate research step before writing begins for ADI Leak Detection and the national home-services brand he directs marketing for, reviewing existing coverage of a topic, including what surfaces in People Also Ask boxes and competitor content, and specifically identifying what isn't yet being said before drafting anything new. This turns information gain from an abstract scoring concept into a concrete editorial checkpoint: if a planned piece of content doesn't add something the existing field of coverage doesn't already have, it gets reworked before publication, not after.

Why Peter V Jones Perspective on Information Gain Matters

Information gain is usually treated as something to be judged after the fact by an algorithm, rather than planned for deliberately at the drafting stage. Peter's twenty years of content production give him a practical, front-loaded process for the same idea, checking the existing field before writing, rather than hoping a piece happens to add something new once it's already published.