What is information gain?

By the Variask team · Updated

Definition

Information gain is how much new, useful information a page adds compared with what is already out there on the same topic. Pages with original facts, data or experience add more than pages that repeat what others say.

With Variask: Variask scores drafts for AI readiness and points out where a page needs more specific, quotable facts.

Why information gain matters

Search engines and AI assistants see many near identical pages on popular topics. A page that adds something new, such as first hand testing, original numbers, clear comparisons or expert detail, gives the engine a reason to use it. Google has a patent describing information gain scoring, and its guidance on helpful content rewards original value.

Ways to add information gain

  • Original data: surveys, benchmarks or numbers from your own product.
  • First hand experience: what you tested, what happened and what you learned.
  • Specifics: exact prices, limits, steps, examples and edge cases.
  • Clear comparisons and decision guidance that other pages skip.
  • Expert quotes and named authors with real credentials.

What it means for brands

  • If an AI could write your page from what is already online, it has little reason to cite it.
  • Your own product data and customer insights are your best source of unique facts.

Questions

Information gain:
common questions

Google has not confirmed it as a named factor, but its guidance consistently rewards original, helpful content, and AI engines prefer pages with clear, specific facts.

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