Schema Markup Strategies That Increase Rich Results and AI Visibility
Quick Answer TL;DR Most schema work fails on eligibility rather than syntax. Google supports roughly twenty-five structured data features, each with its own required properties, and valid markup earns candidacy rather than a guaranteed result. Three published policies disqualify more implementations than bad code ever does: do not mark up content that is not visible […]
Core Web Vitals in 2026: What Really Matters for Search Performance
Quick Answer TL;DR Two things changed the honest answer here. Google’s own documentation now says plainly that Core Web Vitals are used by its ranking systems while other page experience aspects are not, and adds that chasing a perfect score purely for SEO may not be the best use of your time. Meanwhile the measurement […]
How Internal Linking Impacts AI Search and Traditional Rankings
Quick Answer TL;DR Internal links do two different jobs, and the second one is where most sites lose. For traditional rankings they move authority and control discovery, and Google’s own patents make clear that links are not weighted equally: position, prominence, anchor wording, and the relationship between source and target all change how much a […]
The Ultimate Technical SEO Checklist for Modern Web Development
Quick Answer TL;DR Most technical SEO checklists were written for server-rendered pages and quietly stopped matching how sites get built. The items that actually break modern applications are specific and documented: fragment-based routing that Googlebot cannot resolve, canonical tags injected by JavaScript, single page apps returning a 200 status for error screens, content hidden behind […]
Entity-Based SEO: How to Help LLMs Understand Your Brand
Quick Answer TL;DR How LLMs understand your brand comes down to what the training corpus contained, how often it said the same thing, and how those statements were phrased. Interpretability research has traced factual associations to specific middle-layer components of the network, meaning a model does not look your brand up so much as recall […]
How AI Search Engines Select Sources for Search Summaries
Quick Answer TL;DR Understanding how AI search engines select sources means following a pipeline, not a ranking. Pages get crawled, split into passages, indexed by both keywords and meaning, retrieved in bulk for a rewritten query, cut down by a reranking model, and only then handed to the language model that writes the answer. Citations […]
GEO vs. SEO: Key Differences and How to Strategy for Both
Quick Answer TL;DR The GEO vs SEO debate is mostly a misunderstanding about which engines are being discussed. Inside Google, they are the same discipline: Google’s own optimization guide states that its generative AI features are rooted in its core Search ranking systems and that site owners need no new files, no special markup, and […]
