Core Web Vitals are metrics (CLS, LCP, FID/INP) that measure page experience. Improve them by optimizing images, fonts, and resource loading to give visitors a smoother experience.
Read MoreWeighted rankings consider position and search volume together for true visibility metrics. A #3 ranking for high-volume terms often drives more traffic than #1 for low-volume keywords.
Read MoreFollowing HTML5, CSS3, accessibility standards → ensures indexability & cross-browser rendering.
Read MoreMaking sites accessible improves UX & SEO. Screen-reader friendly pages often align with Google’s structured guidelines.
Read MoreStructured data vocabularies (Schema.org, JSON-LD, RDFa) → critical for rich results, knowledge panels, and AI Overview inclusion.
Read MoreSite architecture affects crawl efficiency. Flat & well-linked structures are crawl-friendly vs. deep, siloed ones.
Read MoreUsing Wayback Machine & cached pages to recover lost links, redirects, or content for link reclamation.
Read MoreAutomated programs like Googlebot that discover and index web content. Crawl efficiency & accessibility = core SEO.
Read MoreDatabase storing mappings of terms → documents. Core of both traditional IR (BM25) and hybrid retrieval systems.
Read MoreAPIs (Navigation Timing, Paint Timing, Long Tasks) used for measuring SEO performance metrics beyond Lighthouse.
Read MoreWPO is the practice of improving site speed and responsiveness. Techniques include caching, code minification, and using CDNs – all beneficial for SEO.
Read MoreGooglebot’s headless Chromium renderer. Determines if JS-rendered content is visible to crawlers.
Read MoreGoogle’s API for detecting malware/phishing content. Security-related SEO risk mitigation.
Read MoreMassive datasets of queries/clicks used for ranking model training & SEO keyword research.
Read MoreOntology-based web data (RDF, OWL, SPARQL). Influences Google’s Knowledge Graph & entity-based search.
Read MoreTechniques like keyword stuffing, cloaking, doorway pages. Google’s Webspam Team + SpamBrain fight this.
Read MorePerformance metrics (LCP, FID, CLS → now INP) used in Google’s Page Experience ranking system.
Read MoreDeep linking strategy for ranking mobile app content in Google search.
Read MoreComplex web apps using WASM may challenge crawlers. Indexability often requires hydration or fallback HTML.
Read MoreGoogle’s official rules. Cover link schemes, content quality, cloaking, hidden text, spam, etc.
Read MoreGoogle’s modern image format for faster loading → improves Core Web Vitals.
Read MoreReal-time communication tech (video/audio in browser). SEO challenge when content is dynamically loaded without transcripts.
Read MoreSEO metric for site-level trust & ranking potential. Moz DA, Ahrefs DR, etc. are proxies.
Read MoreWebsite authority represents overall domain strength and trustworthiness. Build it through quality backlinks, consistent valuable content, technical excellence, and positive user signals across your entire site.
Read MoreRisky process (domain change, HTTPS, CMS switch). Needs careful redirect mapping, log monitoring, and post-migration audits.
Read MoreRegularization technique to prevent overfitting in deep learning models for retrieval (e.g., BERT rankers).
Read MoreBM25 can be field-weighted (e.g., boosting title tags over body text). Used in SEO title relevance scoring.
Read MoreBaseline learning-to-rank model used in IR. Precursor to gradient boosted & neural rankers.
Read MorePageRank variant that considers outlink weights (authority distribution) instead of equal splits.
Read MoreFusion method combining rankings from multiple retrieval systems. Relevant in hybrid SEO testing.
Read MoreBasic weighting scheme in IR: terms occurring more often in a doc are more important (precursor to TF-IDF).
Read MoreWhite-hat SEO follows search engine guidelines and focuses on long-term, sustainable tactics: quality content, technical fixes, and ethical link building.
Read MoreWildcard optimization targets search queries using asterisk (*) operators. Create content that answers common wildcard patterns to capture long-tail traffic from incomplete or exploratory searches.
Read More“*” operator used in some engines for partial matches. Google supports in limited contexts (e.g., “best * near me”).
Read MoreTransformer-based IR (BERT, T5) has a limited context window → impacts long-doc SEO & summarization.
Read MoreIn IR, terms considered within a sliding window of text (vs. entire doc). Used in passage ranking and proximity models.
Read MoreSemantic shift of embeddings over time → affects long-term retrieval consistency & query understanding.
Read MoreBeyond TF-IDF, neural rankers dynamically adjust weights based on query context.
Read MoreRanking technique where closer terms = more relevance. Still used in modern proximity BM25 variants.
Read MoreNLP process to detect correct meaning of a polysemous word (“apple” = fruit vs. company). Core of semantic SEO & Google’s Hummingbird.
Read MoreContextual features extracted from a word’s nearby terms. Used in query expansion & passage retrieval.
Read MoreDeep ranking models assign different weights to query/document words via attention mechanisms.
Read MoreNeural embeddings mapping words into vector space. Basis for modern semantic search & content clustering.
Read MoreUsed in early IR for synonym expansion, query reformulation. Influenced semantic SEO → entity & synonym recognition.
Read MoreSplits words into subword units → enables handling of rare words in search queries & content indexing.
Read MoreUse of scripts/APIs to automate audits, reporting, link-building prospecting, and rank tracking.
Read MoreWWW vs non-WWW refers to choosing your preferred domain version. Pick one and redirect the other to avoid duplicate content. Neither is inherently better for SEO – consistency matters most.
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