I10 — Chapter 9 - E-E-A-T

Criterion I10: Disclosure affiliations — guide + checklist

PART 1 - Fundamentals Chapter 9 - E-E-A-T Keyword : disclosure affiliations

Here we discuss a criterion that often makes the difference in audits.

Criterion I10 — Disclosure affiliations is part of our SEO checklist (335 criteria). Here, you have a practical method to verify and correct it — with a concrete example.

What exactly this criterion covers

Here we discuss a criterion that often makes the difference in audits.

I10 — Disclosure affiliations (Chapter 9 - E-E-A-T): Transparency of commercial links, marked sponsored content

Why it matters (SEO + UX)

Why it matters: it is a safeguard against duplicate content and cannibalization. When poorly applied, common issues include ambiguity (wrong associated query), duplication between pages, or performance loss on bounce rate.

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

How to verify (step by step)

Approach: tool-assisted test (validator / performance). Recommended tool: People Also Ask.

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

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

How to correct properly

Strategy: correct the minimum necessary, then stabilize.

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

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

Concrete example (illustrative)

Example (illustrative):

  • Context: service landing page for an aesthetic clinic in Casablanca
  • Before: generic H1 + sections without hierarchy (incoherent H2/H3).
  • After: intent-oriented H1 + H2 by sub-questions (case: service landing — aesthetic clinic).
  • Note: Goal: make the plan scannable and aligned with intent.

Checklist to tick

  • [ ] Matches the intent
  • [ ] Respects: marked sponsored content
  • [ ] Unique
  • [ ] Concrete examples
  • [ ] Natural keywords
FAQ

Frequently asked questions — I10

What is the most common mistake on “Disclosure affiliations”?

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

Which tool is the fastest for large-scale control?

For this type of criterion, a crawl (e.g., Screaming Frog) plus targeted verification in People Also Ask is generally the fastest combo.

How to prevent this from recurring on 10K generated pages?

Freeze an auto-generation rule (title/structure/schema/URLs) plus 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.

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