
Technical GEO for Websites: Entities, Structured Data, and Crawl Paths
Technical GEO for websites, covering indexing, renderability, entity clarity, structured data, and crawl paths without inventing an AI‑only markup layer.
Articles
Structured data is machine‑readable metadata that helps systems interpret what a page is about. Most of the work here uses schema.org vocabulary, usually delivered as JSON‑LD, to reinforce entities, page meaning, and relationships in ways that support both SEO and GEO. Good structured data does not replace clear content or sound architecture; it strengthens them.
Below you will find a subset of articles from my blog specifically about structured data, schema.org, and related technical SEO for JavaScript applications. This is a topic I have worked with for many years, although it has not been one I have written about often. There are seven articles collected below.

Technical GEO for websites, covering indexing, renderability, entity clarity, structured data, and crawl paths without inventing an AI‑only markup layer.

Model service page schema without overclaiming by matching visible content, Service data, OfferCatalog, breadcrumbs, FAQs, entities, and proof clearly.

How service pages become easier for AI search to retrieve and summarise through clear problems, visible proof, internal links, schema, and answers.

How to migrate e‑commerce product and category pages to Next.js without losing SEO value, including URLs, filters, schema, canonicals, and redirects.

A headless CMS SEO checklist covering metadata, canonicals, schema, redirects, sitemaps, preview, internal links, image fields, and publishing controls.

Technical SEO launch criteria for Next.js migrations, covering URLs, redirects, canonicals, metadata, rendered HTML, schema, sitemaps, and recovery.

Compare rendered HTML before and after a migration, checking headings, metadata, links, schema, body copy, media, crawl signals, and launch risk.