mixed · web
Search, answer and generative engine optimisation
Being found by search engines, quoted by answer engines and cited by LLMs: crawlable rendering, structured data, llms.txt, Core Web Vitals and what the research actually measured.
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By Amit Chakraborty — Kolkata, India · Remote worldwide
What you will be able to do
Make any route crawlable, structured and quotable, and measure whether it worked.
Syllabus — 9 chapters
- 1. How crawlers see a single-page app — Know what is indexed when JavaScript renders the page, and prerender what matters.
- 2. Titles, descriptions and canonicals — Give every route a unique, accurate head.
- 3. Structured data with schema.org — Mark up articles, courses, FAQs and people in JSON-LD.
- 4. Answer engine optimisation — Write pages whose answers can be lifted and quoted verbatim.
- 5. Generative engine optimisation — Apply what the GEO research measured: citations, statistics and quotations.
- 6. llms.txt and agents.txt — Publish a map of the site written for language models.
- 7. Core Web Vitals — Measure LCP, INP and CLS in the field and fix the worst.
- 8. International SEO and hreflang — Serve the right language to the right searcher.
- 9. Sitemaps, feeds and indexing APIs — Tell engines about new pages the day they ship.
0 of 9 published. A new chapter every Monday night. Free to read.
Learn it free, elsewhere too
The documentation, videos, books and practice sites worth your time on this subject. All free. None of it is mine.