EEAT stands for Experience, Expertise, Authoritativeness, Trustworthiness. It is the quality evaluation framework used by Google in its Search Quality Rater Guidelines, extended from EAT to EEAT (adding Experience) in December 2022.

Why follow Marie Haynes on Core Updates?

Her Core Update monitoring is structured, methodical, and grounded in Google guidelines and patent analysis, making it a reference for diagnosing a traffic drop rather than speculative reading.

Marketing expert

Marie Haynes— EEAT · Google algorithms

Newsletter · podcast · 50k+ professionals · CA

Marie Haynes is a Canadian consultant specializing in Google algorithms and the EEAT concept (Experience, Expertise, Authoritativeness, Trustworthiness), running one of the most-followed Core Update monitoring resources in the professional SEO community.

Also known for

EEAT (Experience-Expertise-Authoritativeness-Trustworthiness)
Core Update recovery
EEAT transposed to AEO

Style fingerprint

Primary format
Newsletter + Search News You Can Use podcast
Tone
Methodical, documented, unsensational
Structure
Official reference (guidelines / patent) + analysis + recommendation
Vocabulary
Senior SEO English, technical references

Marie Haynes has built her consultancy around a precise and technically demanding subject: understanding how Google evaluates content quality, and helping sites penalized by Core Updates recover. Her careful reading of the Search Quality Rater Guidelines and her regular analysis of Google patents make her a reference for sites that have experienced a traffic drop and want to diagnose the algorithmic root cause.

Her newsletter and podcast cover Core Updates in depth, the evolution of EEAT (the extension of the original EAT to include Experience in 2022), and more recently the impact of AI Overviews and the fragmentation of Google results. The format is dense, methodical, and unsensational — which is what makes it useful to senior SEO teams.

Her influence extends to AEO: she documents how EEAT principles (identified author, demonstrable experience, credible sources, freshness) translate into evaluation by AI answer engines, which apply quality heuristics derived from the same tradition.

In the getchatsocial.com product

The getchatsocial.com programmatic pages (cases, compare, glossary, experts) integrate the EEAT signals Marie Haynes documents: Article schema with dateModified, structured FAQs, identified author, cited external sources — all AEO levers directly derived from the principles she analyzes.

Frameworks & methods

EEAT (Experience-Expertise-Authoritativeness-Trustworthiness)
The quality evaluation framework Google uses in its Search Quality Rater Guidelines, extended to include Experience in 2022. Marie Haynes is one of its most rigorous analysts.
Core Update recovery
An analysis methodology for sites penalized by a Core Update, structured around an EEAT diagnosis, a content quality audit, and a remediation plan.
EEAT transposed to AEO
The thesis that EEAT principles (identified author, demonstrable experience, credible sources, freshness) translate into evaluation by AI answer engines, which apply derived quality heuristics.

FAQ

Who is Marie Haynes?
Marie Haynes is a Canadian consultant specializing in Google algorithms and EEAT (Experience, Expertise, Authoritativeness, Trustworthiness). She runs a consulting practice and a newsletter followed by the senior SEO community.
What is EEAT?
EEAT stands for Experience, Expertise, Authoritativeness, Trustworthiness. It is the quality evaluation framework used by Google in its Search Quality Rater Guidelines, extended from EAT to EEAT (adding Experience) in December 2022.
Why follow Marie Haynes on Core Updates?
Her Core Update monitoring is structured, methodical, and grounded in Google guidelines and patent analysis, making it a reference for diagnosing a traffic drop rather than speculative reading.

Reference source