E-E-A-T Framework
Google's content quality framework for AI search. Master Experience, Expertise, Authoritativeness, and Trust signals.
All Articles
.Gov, .Edu, and Industry Sources: The Authority Hierarchy
Why .gov and .edu links carry more weight. Learn the authority hierarchy of different source types and how to find authoritative citations.
Breadcrumb Navigation: Why AI Prefers Structured Sites
How breadcrumb navigation signals site structure to AI. Learn implementation, Schema markup, and how breadcrumbs support topical authority.
Broken Links: How 404s Damage AI Trust
Broken links signal site neglect. Learn how to find and fix 404 errors that damage your trust signals and user experience.
Building Website Trust: The Complete Checklist for AI
Complete checklist for building website trust. Every trust signal you need to implement, from legal pages to disclosure practices.
Byline Best Practices: Author Attribution That Builds Trust
How to create effective bylines that build reader trust and strengthen EEAT signals. Includes examples, placement tips, and common mistakes.
Citation Quality Tiers: Which External Links Build Authority
Not all citations are equal. Learn the 4 tiers of citation quality and which external links build AI authority vs. which ones hurt.
Framework Completeness: Covering All Angles AI Expects
How to ensure your content covers all aspects AI expects. Learn to identify gaps, structure comprehensive coverage, and match industry frameworks.
Contact Pages and Business Information: Trust Through Accessibility
How contact information builds website trust. What to include on your contact page and About page for AI trust signals.
Building Authority Without Backlinks: Content Signals That Matter
You can build authority signals even without backlinks. Learn the content-level authority signals that AI evaluates independent of link profile.
Content Depth Metrics: Word Count, Citations, and Heading Structure
Learn the measurable indicators of content depth: optimal word count, citation density, heading hierarchy, and how AI evaluates comprehensiveness.
Content Freshness: Why "Last Updated" Dates Matter
How content freshness affects trust. Learn why displaying dates matters, when to update content, and how AI evaluates content currency.
Expertise Without Credentials: How Content Quality Speaks for Itself
When you lack formal credentials, let your content prove your expertise. Learn the quality signals AI uses to assess knowledge depth.
Transparency Signals: Risk Warnings and Quality Control Statements
Learn how transparency signals like risk warnings, limitations disclosure, and quality control statements build AI trust and improve your content credibility in AI search results.
Cookie Consent: GDPR and CCPA Requirements for AI Trust
How to implement cookie consent that satisfies both regulations and AI trust signals. Covers GDPR, CCPA, and best practices.
Credentials and Qualifications: Do You Need a PhD to Rank in AI?
When do you need formal credentials for SEO? Learn which topics require degrees and certifications, and which accept demonstrated expertise.
Editorial Process: How "Reviewed By" and "Fact-Checked" Signals Work
Learn how editorial oversight signals build EEAT. Implement "Reviewed by" and "Fact-checked" attributions that AI and readers trust.
Authority in EEAT: How AI Determines Who to Trust
Understanding authoritativeness in EEAT. Learn the 4 authority signals AI evaluates: citations, entity recognition, press mentions, and site structure.
Trust in EEAT: The Foundation of AI Content Evaluation
Understanding trustworthiness in EEAT. Learn the 6 trust signals AI evaluates: legal compliance, contact info, security, ad density, maintenance, and disclosure.
Entity Signals: Organization Schema and Social Proof
How entity recognition builds authority. Learn to implement Organization Schema, connect social profiles, and strengthen entity signals for AI.
Expertise in EEAT: How AI Evaluates Your Professional Knowledge
Learn how Google and AI search engines evaluate expertise in content. Discover the 5 key expertise signals and how to demonstrate professional knowledge.
Demonstrating Expertise Without Credentials: Content Signals That Matter
You don't always need a PhD to rank. Learn how to demonstrate expertise through content quality, structure, and depth when you lack formal credentials.
Adding Editorial Credibility: Review and Fact-Check Badges
How to implement visible editorial badges that signal content quality. Design, placement, and Schema markup for fact-check and review indicators.
HTTPS and SSL: Why Security is a Non-Negotiable Trust Signal
HTTPS is mandatory for AI trust. Learn why SSL certificates matter, how to implement them correctly, and avoid common security issues.
Industry Jargon in Content: Finding the Right Balance for AI and Humans
How much jargon is too much? Learn to balance industry terminology for both AI expertise signals and human readability.
Internal Linking for Authority: Building Topic Clusters AI Understands
Master internal linking strategy for AI search. Learn how to build topic clusters, distribute authority, and create site structure AI recognizes.
Local Business Trust: NAP Consistency and Location Signals
How local businesses build AI trust through NAP consistency, Google Business Profile, and location signals.
Long-Form Content for AI: How Much Detail Is Enough?
How long should content be for AI search optimization? Learn when long-form wins, when it doesn't, and how to determine the right depth for your topic.
Methodology Transparency: Explaining How You Reached Your Conclusions
Master the art of methodology transparency in content creation. Learn how explaining your research process, testing methods, and analytical approach builds AI trust and improves EEAT signals.
Press Mentions and Media Logos: Do They Really Help AI Rankings?
Does "Featured in Forbes" actually boost authority for AI? Learn the real impact of press mentions and media logos on AI search visibility.
Privacy Policy and Terms: Legal Pages as Trust Signals
How legal pages like Privacy Policy and Terms of Service function as trust signals for AI. What to include and how to implement them.
Professional Titles in Content: When and How to Display Credentials
Guide to using professional titles in content. Learn when to display credentials, where to place them, and how to format titles correctly.
Review Methodology: How to Be Transparent About Your Process
Build trust by disclosing your review methodology. Learn what to include in methodology disclosures and why AI values transparency.
Schema Person Markup: Structured Data for Author Authority
Complete guide to implementing Schema.org Person markup for author profiles. Learn the required properties, JSON-LD format, and validation steps.
Sponsored Content: How to Label Without Hurting Trust
Best practices for labeling sponsored content. Balance disclosure requirements with maintaining reader trust and content value.
Vocabulary Depth: Using Technical Terms Without Alienating Readers
How to use technical vocabulary to demonstrate expertise while keeping content accessible. Balance jargon and clarity for AI and human readers.
Ad Density: When Advertising Undermines AI Trust
How ad density affects trust signals. Learn the balance between monetization and user experience that AI systems evaluate.
Affiliate Disclosure: FTC Compliance for AI Trust
How to write affiliate disclosures that satisfy FTC requirements and build AI trust. Placement, wording, and best practices.
Author Identity: Building a Profile AI Search Engines Trust
Learn how to create author profiles that AI search engines recognize and trust. Covers Schema markup, bylines, bios, and author pages.
The Cons Section: Why Balanced Reviews Build More Trust
All-positive reviews trigger distrust. Learn why a well-written cons section increases credibility and how to write honest critique that helps readers.
Critique and Downsides: Why Balanced Reviews Rank Better in AI Search
Learn why including cons, limitations, and honest critique in reviews builds trust with both readers and AI search engines. Practical examples included.
Descriptive Writing for EEAT: Adding Texture to Your Content
Learn how descriptive, sensory-rich writing demonstrates authentic experience. Practical techniques for adding texture and detail to reviews and guides.
The 20-Point EEAT Audit Checklist for Content Creators
A comprehensive checklist to evaluate your content against Google's E-E-A-T standards. 20 actionable checkpoints across Experience, Expertise, Authority, and Trust.
How to Audit Your Website for Google EEAT with GEO-Lens
Step-by-step guide to auditing your website against E-E-A-T standards. Use GEO-Lens to identify gaps and get actionable improvement recommendations.
EEAT for Different Content Types: Reviews, Guides, News, and Landing Pages
E-E-A-T requirements vary by content type. Learn which dimensions matter most for product reviews, how-to guides, news articles, and landing pages.
EEAT vs GEO CORE: Which Framework Should You Focus On?
E-E-A-T and GEO CORE serve different purposes. Learn when to prioritize each framework for maximum SEO and GEO impact.
E-E-A-T vs GEO CORE: How These Frameworks Work Together
Learn how Google's E-E-A-T framework and the GEO CORE model complement each other for optimizing content in both traditional and AI search.
Exclusive Data Points: Testing Results AI Can't Find Elsewhere
Original measurements and testing data are powerful experience signals. Learn how to create exclusive data points that AI search engines want to cite.
Experience Signals for Guides vs Reviews: What's Different
Experience signals vary by content type. Product reviews need strong first-person evidence; guides prioritize expertise. Learn how to optimize each.
The E in EEAT: Why Experience Matters for AI Search
Experience is the newest component of Google's E-E-A-T framework. Learn why first-hand experience signals matter for AI search visibility and how to demonstrate real usage.
First-Person Narrative: How to Write Content That Shows Real Experience
Learn how first-person narrative ("I tested", "We found") builds trust and demonstrates real experience in your content. Practical examples and techniques.
How Google's Quality Raters Evaluate E-E-A-T (And What It Means for AI)
Google employs thousands of quality raters to evaluate search results using E-E-A-T guidelines. Learn how they assess content and what this means for AI search.
"I Tested" Statements: How First-Person Voice Builds Trust
Learn why "I tested" and similar first-person statements are powerful trust signals. Examples and techniques for authentic experience writing.
Original Images vs Stock Photos: What AI Trust Algorithms Prefer
AI systems prefer original images over stock photos for experience verification. Learn why authentic photos matter and how to optimize your visual evidence.
Adding Precise Measurements to Your Reviews: A Trust Signal Guide
Specific measurements and data points demonstrate real testing. Learn how to add precise numbers that build trust and improve AI citation potential.
Sensory Details in Product Reviews: What AI Considers Authentic
Sensory details—how things feel, look, sound, and smell—are hard to fake without real experience. Learn how to write reviews with authentic sensory descriptions.
Subjective vs Objective Content: When Personal Experience Wins
Learn when subjective, experience-based content outperforms objective reporting. Personal perspective adds unique value for certain content types.
Visual Evidence: Photos and Screenshots That Prove You've Used the Product
Original images are powerful experience signals. Learn what types of photos demonstrate real usage and how to optimize them for AI search visibility.
What is Google E-E-A-T? The Complete 2026 Guide
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's framework for evaluating content quality. Learn how EEAT works and how to optimize for it.