Last updated: August 2026

Corrections Policy

How we handle mistakes, outdated information, and factual errors.

Why This Page Exists

SEO changes constantly. Algorithm updates happen. Official documentation changes. Things that were accurate six months ago may need updating today.

Additionally, despite our best efforts, factual errors can appear in published content.

This page documents how SEOAcademys handles both — and how you can help.

Types of Issues We Fix

Factual errors

Information that is demonstrably incorrect — wrong statistics, inaccurate technical explanations, incorrect claims about how tools or platforms work.

Outdated information

Accurate information that has since changed — deprecated practices, updated documentation, changed platform behaviour.

Broken or changed links

Links to external resources that no longer work or have changed.

Misleading framing

Content that is technically accurate but presented in a way that could create false impressions.

How to Report an Error

Send a report directly to:

ketanchandore114@gmail.com

Please Include:

  • The URL of the article
  • What is incorrect or outdated
  • A source or reference if you have one (not required, but helpful)

We review all correction reports — including anonymous ones.

What Happens After a Report

Within 5 business days:

  • 1. We review the reported issue against available sources
  • 2. If the correction is valid: the article is updated
  • 3. If the correction is disputed: we'll note our reasoning

After updating:

  • The article's Last Updated date is changed
  • A What changed note is added for significant corrections
  • Major corrections may include a clear inline note within the article

How We Mark Updates

Every article on SEOAcademys displays:

Published: [Date] | Last Updated: [Date]

For significant factual corrections:

Update [Month Year]: [Brief description of what changed and why]

Proactive Updates

Beyond reader-reported corrections, SEOAcademys proactively reviews and updates content when:

Google publishes significant algorithm updates or documentation changes
AI search platforms announce changes to their systems
New research changes the evidence base for existing claims
Our own experiments produce results that update previous conclusions