Stop Obsessing Over Domain Authority: Why DA Is a Proxy Metric That Leads SEOs Astray
Moz's Domain Authority is a machine-learning model trained on link data to predict Google rankings. Google doesn't use it. Google has never used it.
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#search ranking signals
4 articles
Core Web Vitals Under the Hood: What LCP, INP, and CLS Actually Measure and Why Each Metric Behaves Differently
LCP, INP, and CLS each target a different dimension of page experience (loading speed, interactivity, visual stability), but they share almost nothing in how they collect data, when they fire, or what browser events they observe.
How Google's Helpful Content System Actually Scores Pages: What the Patents and Tests Tell Us
Google's helpful content system doesn't give pages a single numeric score. It uses machine-learning classifiers trained on human rater feedback, patent-documented signals, and site-level engagement data to sort content into quality tiers.
How Search Engines Work: Crawling, Indexing, and Ranking
Google's original search engine prototype, called Backrub, ran on a handful of servers in Larry Page's Stanford dorm room in 1996. Its defining contribution wasn't speed or a sleek interface.