SEO / AEO / GEO Field Notes

From classic search to AI answer engines — every technique is implemented on this site so you can verify it

Three terms in one breath

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Learning path

  1. SEO Basics: How Search Engines Understand a Web Page

    How crawling, indexing, and ranking work, plus the five core page elements (title, meta description, headings, canonical, internal links) and how to check them.

  2. Structured Data with JSON-LD: Tell Machines What You Mean

    What structured data is, why SEO and AI both need it, which schema.org types to use, and how to write and validate JSON-LD, with the code this site uses.

  3. Answer Engine Optimization (AEO): Become the Direct Answer

    What AEO is, how it differs from SEO, and how answer-first writing, question headings, lists, tables, and FAQs get content into snippets and AI answers.

  4. GEO: Getting ChatGPT and Perplexity to Cite Your Content

    How GEO works: AI crawlers and robots.txt, why server-side rendering matters, writing that earns AI citations, and where llms.txt really stands today.

  5. Multilingual SEO & hreflang: One Article, Two Languages

    How to pick a multilingual URL structure, write hreflang and x-default correctly, and avoid common return-link and language-code errors, as on this site.

  6. Core Web Vitals: How to Measure and Improve Site Speed

    The three Core Web Vitals (LCP, INP, CLS) and their thresholds, how lab data differs from field data, and the most effective fixes and measurement tools.

  7. Post-Launch Measurement: Search Console, Bing & AI Citations

    Your post-launch SEO workflow. Set up Search Console and Bing Webmaster Tools, submit sitemaps, use IndexNow, read the reports, and track AI citations.