AB9 — Chapter 25 - Audit GEO

Criterion AB9 : Information Gain Evaluation — guide + checklist

PART 3 - AI Mastery Chapter 25 - Audit GEO Keyword : information gain évaluation

This criterion seems “simple”, but it creates many discrepancies in production.

The criterion **AB9 — Information Gain Evaluation** is part of our SEO checklist (335 criteria). Here, you have a **practical** method to check and fix it — with a concrete example.

What exactly this criterion covers

This criterion seems “simple”, but it creates many discrepancies in production.

**AB9 — Information Gain Evaluation** (Chapter 25 - GEO Audit): Uniqueness and added content value

Why it matters (SEO + UX)

Why it matters: it is an anti-duplicate / anti-cannibalization safeguard. When poorly applied, common issues include: ambiguity (wrong associated query), duplication between pages, or performance loss on indexing rate.

On volume-generated sites, this criterion also acts as a **safeguard**: a stable rule prevents 1,000 errors at once.

How to check (step by step)

Approach: browser-side check (render + code). Recommended tool: **AnswerThePublic**.

  1. Open the source code and locate the concerned element (tag/structure).
  2. Check hierarchy and consistency with H1 + intro.
  3. Run a crawl to detect pages violating the criterion.

Tip: first isolate 10 “representative” URLs (top pages + generated pages) before scaling the fix.

How to fix properly

Strategy: apply a rule, then check neighboring pages.

  • Rewrite the plan: clear H1, H2 = sub-questions, H3 = details.
  • Add a differentiating element (scope, method, example) to avoid duplication.
  • Check consistency with intent (info / comparison / action).

Then: re-crawl 50–200 URLs, then monitor Search Console over 7–14 days (impressions/CTR/indexing).

Concrete example (illustrative)

Example (illustrative):

  • **Context**: comparison page for web agency in Paris
  • **Before**: generic H1 + sections without hierarchy (incoherent H2/H3).
  • **After**: intent-oriented H1 + H2 by sub-questions (case: comparison page — web agency).
  • **Note**: Goal: make the plan “scannable” and aligned with intent.

Checklist to tick

  • [ ] Matches intent
  • [ ] Unique
  • [ ] Concrete examples
  • [ ] Natural keywords
FAQ

Frequently asked questions — AB9

What is the most frequent error on “Information Gain Evaluation”?

Applying an overly generic automatic pattern (same logic on all pages) without adding a differentiating element.

Which tool is fastest for scale checking?

For this type of criterion, a crawl (e.g. Screaming Frog) + targeted verification in AnswerThePublic is generally the fastest combo.

How to prevent recurrence on 10K generated pages?

Freeze an auto-generation rule (title/structure/schema/URLs) + add automatic control (crawl or test) before production import.

Ready to go from theory to action?

Validate this criterion with an audit, then deepen the method in the Academy.

Audit with the tool → Learn in the Academy →