E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness. Google's framework for evaluating content quality. Content should demonstrate real experience, show expertise, establish authority, and be trustworthy.
Agentic Discovery
A new search paradigm where AI assistants answer questions directly without sending users to websites. Google AI Overviews, ChatGPT, and Gemini consume informational queries, changing how content needs to be optimized.
Semantic Architecture
The structure of meaning in digital systems. How content, data, and communications are organized to create coherent understanding for both algorithms and humans.
Structured Data
Standardized format for providing information about a page. Schema.org markup helps search engines understand content and enables rich results, AI answer inclusion, and better visibility.
Rich Results
Enhanced search results that include additional information like images, ratings, FAQs, or step-by-step instructions. Created through structured data and help content stand out in search.
AI Overviews
Google's AI-generated answer boxes that appear at the top of search results. They provide direct answers without requiring users to click through to websites, changing SEO strategy requirements.
Topic Authority
The level of expertise and comprehensiveness a site demonstrates on a particular subject. Built through deep, interconnected content that covers all aspects of a topic, not just surface-level articles.
Internal Linking
The practice of linking between pages on the same website. Strategic internal linking helps search engines understand site structure, distributes page authority, and improves user navigation.
Core Web Vitals
Google's metrics for measuring user experience: Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP). These metrics affect search rankings.