Why does information gain matter to AI models?
A generative engine does not need ten sources saying the same thing. It builds an answer from a few, and picks the ones that add something the others lack. Content that is correct but entirely overlapping with competitors is interchangeable to it - any other source does the same job.
This is the opposite of the “write what the top ten wrote, only better” strategy. A better-written duplicate is still a duplicate. The advantage comes from your own number, your own case, your own comparison.
What will you see in the report?
You get the score broken down into four signals plus a list of your unique claims - what genuinely sets the page apart from the rest of the results.
Along with suggestions on which type of material would raise the result fastest for this particular topic: your own data, a case study, a comparison, an expert comment or a small piece of original research.
Information gain deliberately does not affect the final score. It is a strategic metric - it shows where to build an advantage, not what to fix in the text.
Sample recommendations
Fragments of a report from an audit of an electronics store category page.
Problem: The content repeats what is already in the Top 10 — not one claim on the page is missing from the competition.
Parameter descriptions copied from the manufacturers’ spec sheets.
Add your own data: switch durability test results or return rates broken down by grip type.
Problem: Format advantage 17/100 — competitors use formats the page never reaches for.
Text and a bulleted list in every section.
Add a model comparison table and a short test video — both formats are rare in this SERP.
How do we measure information gain?
We compare your content against the Top 10 corpus and compute four independent signals that make up the result on a 0-100 scale:
Four uniqueness signals
| Signal | What it means |
|---|---|
| Unique claims | Concrete factual claims from your text that no competitor makes |
| Unique facts | Entity-Attribute-Value triples present at fewer than 30% of competitors |
| Unique terms | Concepts you use and competitors do not |
| Rare formats | Presentation formats rarely used in this SERP - a table, a video, a bibliography |
What raises and what lowers the score?
Raises
- Your own data: test results, statistics from your database, calculations
- A case study with concrete numbers
- A comparison nobody else has made
- Expert conclusions that go beyond describing the state of things
- A format competitors have not reached for
Lowers
- Content that summarises the first ten results
- Facts copied from the same sources competitors used
- No observation or data of your own
Frequently asked questions
Why does this metric not affect the score?
Because it measures strategy, not execution. Content can be flawless and still have low information gain - that is a signal to add something of your own, not to fix the text.
What raises it fastest?
Your own data. A test result, a statistic from your database, a case study with numbers or a comparison nobody has made - each of those is by definition absent from competitors.
Does low information gain mean poor topic coverage?
No, those are two different things. Topic coverage is measured by other dimensions; here the only question is how much of your content does not repeat across the remaining results.