Entity SEO is the work of making search engines and AI systems understand who or what you are — not just which keywords you target. This guide is both an explainer and a working playbook: definitions, a six-step process, an audit rubric, annotated JSON-LD, three worked examples, and a 30/60/90
This is a reproducible, chaptered guide for marketing, SEO, PR, and analytics teams who need to measure where their brand actually appears inside LLMs and answer engines — where competitors show up instead, and which gaps are worth closing. It’s measurement-led and vendor-agnostic: you can run the whole baseline manually
Faceted navigation is one of the few SEO problems that lives squarely between marketing and engineering — and it punishes teams that treat it as either/or. This guide gives ecommerce SEO leads, growth managers, and engineers a measured way to audit filter-generated URLs and decide, per scenario, whether to index,
Category pages are the workhorses of ecommerce SEO, and they’re also where most stores quietly leak organic potential. This guide gives ecommerce marketers, founders, and SEO leads a repeatable way to audit and optimize category (collection) pages so they earn broader commercial discovery, crawl efficiently at catalog scale, and still
This is a support-style, task-oriented audit checklist for ecommerce sites: diagnose, test, and triage technical and content SEO issues, then prioritize what to fix first. It is a one-time diagnostic workflow (not an ongoing program) focused on ecommerce-specific problems — catalog scale, faceted navigation, product variants, and feed health. It
TL;DR — What It Is and What to Expect Machine-readable content is structured, semantically clear copy plus metadata and markup designed so search engines, LLMs, and answer engines can reliably extract facts and relationships with less manual effort. It’s a content-engineering practice — heading hierarchy, answer-first ledes, micro-paragraphs, semantic triplets