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Server side rendering vs Client side rendering (SSR vs CSR) in SEO
GRAPHICS: https://codepen.io/alwayswannaflyyy/full/xbZJVGG 1. Topic Overview & Core Definitions Web rendering refers to the process by which a web page's content is assembled and displayed in a user's browser. The choice of rendering strategy profoun...
Information Retrieval for Search Engines: A Deep Dive Curriculum Guide
:::info Research Cost Breakdown Total Cost: $0.0052 Token Usage: Input Tokens: 5,413 Output Tokens: 15,880 Total Tokens: 21,293 Cost by Phase: Brief: $0.0002 (670 tokens) Queries: $0.0001 (839 tokens) Findings: $0.0005 (2,622 tokens) News: $0.0002 (893 toke...
GPT Hierarchy
Naming + ID system for your KB (so it stays scalable) Use stable IDs like T0.2.3 (topic) + optional type suffix: C Concept (explain) S Skill (do) P Procedure / SOP (repeatably do) D Diagnostic (debug) M Metric (measure) A Artifact...
Gemini Hierarchy
🗺️ The SEO Epistemology: Master Knowledge Hierarchy 1.0 THE AXIOMATIC LAYER: Information Retrieval & Web Protocols Before one can optimize, one must understand the environment in which optimization occurs. 1.1 Information Retrieval (IR) Science ...
bm25
:::info Research Cost Breakdown Total Cost: $0.0035 Token Usage: Input Tokens: 5,372 Output Tokens: 10,369 Total Tokens: 15,741 Cost by Phase: Brief: $0.0001 (513 tokens) Queries: $0.0001 (707 tokens) Findings: $0.0004 (2,959 tokens) News: $0.0002 (880 toke...
What is TF-IDF - Term frequency inverse document frequency
Written on: 2025-12-16 03:56:38 1. Topic Overview & Core Definitions TF-IDF (Term Frequency-Inverse Document Frequency) is a statistical measure used in information retrieval and text mining to evaluate how important a word is to a document within a corpus (a...
New Page
A/B Testing for SEO
A/B Testing for SEO: The Definitive Knowledge Base Article 1. Topic Overview & Core Definitions What it is: A/B testing for SEO, often referred to as SEO split-testing or experimentation, is a scientific methodology used to determine the causal impact of spec...
Vector Space Models & Embeddings
Vector Space Models & Embeddings Introduction Vector Space Models (VSMs) are a fundamental concept in natural language processing (NLP) and information retrieval, providing a mathematical framework for representing linguistic units as numerical vectors in a mu...
Tokenization, Stemming & Lemmatization
Tokenization, stemming, and lemmatization are fundamental text normalization techniques in Natural Language Processing (NLP), designed to preprocess raw text for more effective analysis. They differ in their approach to breaking down and reducing words to thei...
Named Entity Recognition (NER)
Named Entity Recognition (NER) Named Entity Recognition (NER) is a subtask of information extraction in Natural Language Processing (NLP) that seeks to locate and classify named entities in unstructured text into predefined categories such as person names, org...
HTTP/HTTPS Protocols (Status Codes, Headers, Handshakes)
The user's original question is "HTTP/HTTPS Protocols (Status Codes, Headers, Handshakes)". The provided research brief and findings, while a start, are incomplete and do not address all aspects comprehensively. The "Recent News & Updates" section is also prov...
nextjs vs astro
Next.js vs. Astro: A Comprehensive Comparison This knowledge base article provides an exhaustive comparison between Next.js and Astro, detailing their core architectural differences, performance characteristics, primary use cases, developer experience, and com...
Sub domain vs sub folder SEO
The debate between using subdomains and subfolders for SEO is one of the most persistent and nuanced discussions within the search engine optimization community. While Google's official stance aims for neutrality, practical observations and technical considera...
AI translating SEO articles to multiple languages, pro's con's, best practices
AI Translating SEO Articles to Multiple Languages: Pros, Cons, and Best Practices 1. Topic Overview & Core Definitions AI translation for SEO articles involves using artificial intelligence and machine learning algorithms to convert search engine optimized con...
Robots Exclusion Protocol
The Robots Exclusion Protocol (REP), commonly implemented via a robots.txt file, is a foundational component of web management that dictates how web robots (also known as web crawlers, spiders, or bots) should interact with a website. It is designed to manage ...
XML Sitemaps Architecture
XML Sitemaps Architecture: A Comprehensive Knowledge Base Article 1. Topic Overview & Core Definitions XML Sitemaps architecture defines the structured framework used by web developers and SEO professionals to inform search engine crawlers about the pages, vid...
SEO migrations: domain switch AND CMS switch
SEO Migrations: Domain Switch AND CMS Switch - The Ultimate Guide 1. Topic Overview & Core Definitions A simultaneous domain switch AND CMS switch represents one of the most complex and high-risk SEO migration scenarios. It involves changing both the website's...
Largest Contentful Paint (LCP)
1. Topic Overview & Core Definitions Largest Contentful Paint (LCP) is a crucial, user-centric performance metric and one of the three Core Web Vitals. It measures the time from when a user initiates loading the page until the largest image or text block in th...
Interaction to Next Paint (INP)
1. Topic Overview & Core Definitions What is Interaction to Next Paint (INP)? Interaction to Next Paint (INP) is a Core Web Vital metric that measures a web page's overall responsiveness to user interactions. It quantifies the time from when a user initiates...