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Google's EEAT (Experience, Expertise, Authority, Trust) evaluation likely works through sophisticated AI that analyzes writing patterns rather than just author bios. Two key Google patents reveal how the search engine might classify both authors and websites based on writing style fingerprints compared against established experts.

• EEAT stands for Experience, Expertise, Authority and Trust—factors used in Google's Quality Rater Guidelines
• Google added "Experience" to EAT in 2022, recognizing the value of firsthand knowledge
• Author bios are likely insufficient for demonstrating EEAT as they're easily fabricated
• The "Generating Author Vectors" patent identifies writing style fingerprints to classify authors
• The "Website Representation Vectors" patent categorizes sites within niches by expertise level
• AI models trained on human quality rater feedback can recognize patterns matching genuine experts
• Topical authority requires comprehensive content coverage and writing at the appropriate expertise level
• Simple solutions like adding author bios won't overcome content that doesn't match expert writing patterns

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"Werq" Kevin MacLeod (incompetech.com)
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