SEO and GEO, separated by practice
Build pages that crawlers can read and answer engines can trust.
SeoGeo Tech is a technical field guide for site owners, developers, editors, and SEO practitioners who want clear implementation steps instead of vague growth advice.
Editorial model
A technical library, not a slogan archive
The site starts with simple definitions, then moves quickly into implementation: URL design, metadata, internal links, schema, rendering, robots rules, content briefs, llms.txt, source blocks, comparison tables, and repeatable review workflows.
SEO Implementation
Crawlable architecture, keyword-to-page mapping, metadata, canonical rules, structured data, internal links, rendering, performance, and maintenance.
GEO Implementation
Entity clarity, answer extraction, evidence blocks, source-aware writing, FAQ design, llms.txt, AI-readable documentation, and visibility checks.
Reusable Playbooks
Checklists and templates you can adapt for a WordPress site, static site, documentation hub, SaaS blog, or independent publication.
Latest articles
Practical notes for search and AI visibility
Start with the SEO implementation checklist, then move into metadata, structured data, GEO content structure, and measurement.
Technical SEO Implementation Checklist
A practical technical SEO checklist for titles, metadata, URLs, internal links, schema, robots.txt, sitemap output, rendering, and performance.
Keyword Research That Turns Into a Page Map
How to turn keyword research into a practical SEO page map with intent, page type, content requirements, and internal linking decisions.
Metadata and Canonical URL Examples
Copy-ready examples for title tags, meta descriptions, canonical URLs, Open Graph tags, Next.js metadata, Astro frontmatter, WordPress templates, and static HTML.
What Is Generative Engine Optimization?
A practical definition of Generative Engine Optimization, how it differs from SEO, and what to implement first for AI-readable content.
GEO Content Structure Examples
Practical GEO page patterns with direct answers, summaries, evidence blocks, comparison tables, FAQ sections, source notes, and HTML examples.
llms.txt and AI-Readable Documentation
How to create an llms.txt file and AI-readable documentation map with concise descriptions, canonical URLs, topic grouping, and maintenance rules.
Good GEO is not about sounding machine-readable. It is about being precise enough that a person, crawler, or answer system can understand the same thing from the same page.