What E-E-A-T means and why it changed how content has to be written
Google added Experience to Expertise-Authoritativeness-Trust in December 2022, which expanded the scope of what counts as a quality signal. The change acknowledged that first-hand experience with a topic is a distinct quality signal from expertise. A page about knee surgery recovery written by a physiotherapist is different from the same page written by someone who went through knee surgery recovery. Both have value. Both rank differently.
For most businesses, the practical implication of E-E-A-T is that content needs to reflect genuine knowledge of the topic, connect to demonstrable authority on the subject, and be produced or reviewed by someone whose credentials are visible and verifiable. Content farms and AI-generated content at scale fail this standard at volume -- not because they are machine-generated, but because they produce output with no first-hand knowledge signal.
Our E-E-A-T content strategy starts with a topic cluster map: the main pillar pages and the supporting articles that demonstrate depth across the subject area. Each piece gets a keyword brief before writing starts. Each piece is mapped to a stage in the buyer journey. Author bios and expertise signals are built into the content structure from the start.
We produce 4 articles per month on the Croissance plan and 8 on Domination. Each article is delivered as a Google Doc with inline notes explaining the structural choices. We can post directly to most CMS platforms on request.
- Topic cluster map and content architecture
- Keyword briefs for every piece before writing
- 4-8 articles per month (plan-dependent)
- Author optimization and expertise signal strategy
- Content gap analysis against top ranking pages
- Internal linking integration with existing content
- Content performance tracking at 30/60/90 days