Information Gain
Information gain is the unique value a piece of content adds beyond what's already publicly available on a topic, whether through original data, a distinct analytical angle, or details not covered by existing sources, rather than a restatement of consensus information.
Why it matters
Content with no information gain is redundant from a retrieval system's perspective even if it's well-written, since an AI system already has dozens of equivalent sources to draw from, whereas a page contributing something genuinely new has a structural reason to be selected over the alternatives.
Related terms
- Topical Authority
Topical authority is how comprehensively a site covers a subject area, measured across content depth, breadth, and internal linking between related pages, rather than any single page's individual quality, making it a property of a site's overall content structure.
- Statistical Density
Statistical density is the number of concrete, quantified data points, figures, percentages, dates, named studies, per unit of content, functioning as a directly measurable proxy for how specific and citable a passage is rather than a subjective quality judgment.
- Cite Sources (GEO method)
Cite sources is one of the optimization tactics the Princeton GEO paper tested directly: attributing specific claims to authoritative external sources within the content itself, which the study measured as producing roughly a 30 to 40 percent improvement in citation visibility over an unoptimized baseline.