The definitional nuance
Google's E-E-A-T framework — Experience, Expertise, Authoritativeness, and Trustworthiness — appears in Google's Search Quality Rater Guidelines, a document used to train human evaluators who assess search quality. These evaluators do not directly rank individual pages; they provide training signal that calibrates Google's algorithms.
E-E-A-T is therefore not a direct algorithmic factor in the way that page speed or backlink count are algorithmic factors. There is no E-E-A-T score in Google's ranking system that can be directly measured or optimized.
What E-E-A-T is, in practice, is a framework that describes the qualities Google's algorithms are calibrated to reward. Pages written by demonstrably experienced experts, published on authoritative domains, with verifiable trust signals, perform better — not because E-E-A-T is computed directly, but because the signals associated with it are.
What E-E-A-T means in practice
Experience (the extra E added in 2022)
Has the author or business had direct, first-hand experience with the topic they are writing about? A review written by someone who actually used the product, a service description written by a practitioner who delivers it, a medical article written by a clinician who treats patients — these demonstrate experience in a way that secondhand content does not.
Expertise
Does the content demonstrate deep, accurate knowledge of the subject? Expertise signals include specific technical detail, correct use of domain terminology, accurate citation of authoritative sources, and named credentials.
Authoritativeness
Is the publisher recognized as an authority in the domain by other authorities? This is primarily a backlink and citation signal — who links to you and cites you matters.
Trustworthiness
Is the content accurate, transparent about its sources, honest about limitations, and associated with a clearly identified publisher? Transparency — named authors, clear contact information, accurate business information — is the core of trustworthiness.
For AI engines beyond Google
While E-E-A-T is a Google-specific framework, the underlying principles apply to every AI engine's content quality evaluation. ChatGPT, Perplexity, and Gemini all weight content from demonstrably expert, attributable sources more heavily than anonymous or unverifiable content.
