Published 03-16-2026
Ranking the SEO Algorithms: Who is King? explains how modern search engines determine visibility by evaluating many interacting signals rather than relying on a single dominant factor. The page describes ranking as the result of algorithms analyzing entities, content relevance, link relationships, and user intent to estimate the usefulness and authority of a webpage. From an AI and entity-based SEO perspective, it highlights how machine-readable structure and contextual relationships help automated systems interpret content and decide which results best satisfy a query.
Published 03-14-2026
Creating AI images using prompts, or using lorebooks to define entities in an AI chat, is a hands-on way to gain experience optimizing text for LLMs. A lore file can be constructed using semantic triples, essentially creating a mini knowledge graph. The llms-full.txt file provides a method for pointing to these resources. The Optimizing Entity Visibility for AI and LLMs page explains the process and technology, and the Full Stack SEO AI Chat serves as a proof of concept.