Canonical Tag
Technical SEOAn HTML element (rel='canonical') that identifies the preferred/authoritative version of a page when duplicate or near-duplicate content exists across multiple URLs. Consolidates ranking signals to the canonical URL. Common use cases: paginated content, URL parameter variants (filters, sorting), HTTPS vs HTTP, trailing slash variations, and syndicated content.
See also: Duplicate Content, Hreflang
Core Web Vitals (CWV)
Technical SEOGoogle's measurable user experience metrics: LCP (Largest Contentful Paint — loading performance, target <2.5s), CLS (Cumulative Layout Shift — visual stability, target <0.1), INP (Interaction to Next Paint — responsiveness, target <200ms). CWV became ranking signals in 2021. In 2024, INP replaced FID. Poor CWV scores are tiebreakers when content quality is equal — they rarely override strong topical authority but can suppress rankings in competitive niches.
See also: Page Experience, TTFB, FCP
Crawl Budget
Technical SEOThe number of URLs Googlebot will crawl on a site within a given timeframe. Finite for large sites. Crawl budget optimization involves: blocking low-value URLs (thin pages, faceted navigation, duplicate parameter pages) via robots.txt or noindex, consolidating pagination with canonical tags, reducing redirect chains, and prioritizing high-value pages via internal linking. Critical for enterprise e-commerce sites with 50,000+ pages.
See also: Robots.txt, Sitemap, Internal Linking
CTR (Click-Through Rate)
AnalyticsThe percentage of impressions that result in a click (Clicks ÷ Impressions × 100). In Google Search Console, CTR is measured per query, per page, per country, and per device. A high position with low CTR signals weak meta titles/descriptions or SERP feature cannibalization. Optimizing meta titles for emotional resonance and query alignment typically yields 15–35% CTR improvements without ranking changes.
See also: Impressions, Meta Description, Rich Results
Content Entropy
Content StrategyIlias Sami's framework for measuring the novelty and information density of content. High-entropy content contains genuinely new information — original research, unique data, first-hand perspective, unreported facts — that expands the information available on the web. Low-entropy content paraphrases what already exists. AI language models are trained to prioritize high-entropy sources for citation because they provide new informational value rather than recycling existing knowledge.
See also: E-E-A-T, Topical Authority, AEO
Content Pruning
Content StrategyThe strategic removal, consolidation, or improvement of underperforming content to increase overall site quality signals. Counterintuitively, removing thin or duplicate content often improves rankings for retained pages by concentrating quality signals. Process: audit all URLs by organic traffic, impressions, CTR, and backlinks. Decisions: improve, consolidate (301 redirect), or remove (noindex then delete if no link equity).
See also: Thin Content, Duplicate Content
Core Update
Technical SEOA broad algorithmic change by Google that recalibrates how it assesses overall page quality across the index. Unlike Penguin (links) or Panda (thin content), Core Updates are not targeted at specific violations — they reweight quality signals holistically. Recovery typically requires 3–6 months of sustained E-E-A-T improvements, not quick fixes. Published by Google in advance via @googlesearchcentral.
See also: Algorithm Update, E-E-A-T