Information Gain

Information gain is the unique, additive value your content brings to a topic. Google explicitly rewards pages that contribute something the SERP does not already have—and AI engines do the same.

It is the opposite of a summary. A summary of what everyone else says has no information gain. A page that adds new data, a new framework, a new opinion, or a new example has information gain.

Why information gain matters

• Google has said it directly. Pages with new information outrank pages that summarize existing information
• AI engines prefer sources with new information because they make better answers
• It is the only durable defense against AI-generated summaries that re-state your content
• It compounds. Information gain on a topic builds topical authority over time

How to add information gain

• Original research. Run a survey, analyze a dataset, or do an experiment. Report the result
• Original data. Publish numbers nobody else has: a benchmark, a price index, a usage stat
• Original frameworks. Name a concept, draw a diagram, define a process. Make it the new reference
• Original opinions. Take a stance, defend it, and link to evidence
• Original examples. Walk through a real case study with real numbers and screenshots

How to measure information gain

• Before writing, search your target query. Read the top 10 results. List what each one covers
• For your draft, list the new things it covers that none of them cover
• That list is your information gain. If it is empty, you are summarizing, not contributing

Common mistakes

• Calling a reworded article “original”
• Confusing length with information gain
• Adding information gain only in the introduction, not throughout