Logo

On-page SEO · Content Differentiation & GEO Value

Information Gain & Originality Scorer

Compare your draft against competing articles to measure net-new entities, quantitative proof points, practitioner testing evidence, and unique subheadings—while stripping out generic AI filler.

6 originality dimensionsAI-cliché & fluff detectorCSV & DOCX editorial briefs

6 Signals of High Information Gain

  • ✓ Net-new named entities absent from competitors
  • ✓ Concrete numbers, percentages & sample sizes
  • ✓ First-hand testing & practitioner observations
  • ✓ Original comparison tables & exhibits
  • ✓ Contrarian / edge-case H2 subheadings
  • ✓ Zero generic cliché intros

Step 1/3 · Extracting Article Entities & Structure

Parsing headings, named entities, quantitative claims, and practitioner experience markers...

Your results will open below when the check finishes.

Measure Information Gain vs. Commodity SERP Consensus

Enter your live article URL or paste your draft to audit net-new entities, quantitative proof, and unique subheadings—plus get ready-to-insert differentiation sections.

We will fetch your live page, extract headings/entities, and score its originality.

Leave blank to benchmark against our automatic SERP topic consensus profile.

Stand out from commodity summaries in both Google and AI search

Publishing another reworded summary of the top 3 results rarely moves rankings on competitive keywords. Adding proprietary measurements, edge-case warnings, and structured exhibits gives both human readers and AI engines a reason to cite your page specifically.

Net-New Entity Diffing

See which named entities and technical concepts appear exclusively in your draft versus competitor copy.

Quantitative & Exhibit Check

Verify that your article backs up assertions with concrete percentages, sample sizes, and tables.

Cliché & Fluff Removal

Flag tired AI-generated transitional phrases that dilute reader trust.

Complete Your On-Page Content Audit

Check missing competitor topics first in the Semantic Entity & Competitor Gap Analyzer, verify authorship and trust signals in the E-E-A-T & Helpful Content Auditor, and check AI crawler readiness in the AI Citation Readiness Checker.

Questions and answers

Information Gain & content originality questions

What does Information Gain mean in SEO and AI Search?

Information Gain refers to the net-new facts, original data points, unique subtopics, or first-hand observations a document provides beyond what a reader has already seen in other top-ranking results on the same topic.

How does this tool measure Information Gain without inventing fake metrics?

It evaluates 6 concrete, observable signals in your text compared against your competitor baseline: (1) Net-New Named Entities, (2) Quantitative Data & Percentages, (3) First-Hand Testing Phrasing ('we tested', 'our dataset'), (4) Structured Tables & Lists, (5) Unique H2/H3 Subheadings, and (6) Absence of Generic AI-Cliché Filler.

Why do commodity articles struggle to win AI Overview citations?

When 10 articles repeat the exact same high-level summary, AI answer engines only need to cite one source for consensus and look to cite pages that supply unique statistics, edge cases, or structured comparison tables for the remaining slots.

What files can I download?

You can export a 6-dimension Information Gain CSV scorecard or download an editable Word (.docx) Editorial Differentiation Brief.