GEO guides

GEO is the practice of making your site readable, extractable and citable by AI answer engines. What it covers, why it matters, and the first five steps to take.

SEO is not dead, but AI answer engines added a second set of rules. A practical comparison of goals, crawl access, content format and how to measure success.

AI crawlers train models, build search indexes, or fetch pages on request. Meet the major bots, learn how they fetch pages, and why access is step zero.

A 30-second robots.txt refresher, what each AI bot costs you when blocked, three copy-paste policies and the syntax mistakes that silently break your rules.

llms.txt is a proposed markdown file at your site root that helps AI models find your best pages. Full format spec, a copy-paste example, and the tradeoffs.

AI visibility has no industry-standard score yet. Track citation share, referral traffic, bot access rate and answer accuracy instead — here is how to do it.

ChatGPT, Perplexity and Copilot cite pages through a fetch-retrieve-extract pipeline. What each stage rewards, how the engines differ, and a 10-point checklist.

AI answer engines extract pages in chunks, not wholes. Structure rules that make content quotable: question headings, answer-first paragraphs, tables, FAQs.

JSON-LD explained in 30 seconds, the schema types answer engines actually use, a copy-paste FAQPage example, and how to validate your markup for free.

Ten fixable mistakes that keep sites out of AI answers: blanket crawler bans, JS-only content, prose walls, stale pages, schema spam and more. Each with a fix.