Generative Engine Optimization #geo
Generative Engine Optimization (GEO) is the discipline of getting your content cited by generative AI systems. Unlike traditional SEO, GEO rewards clarity, factual density, and structured markup over backlinks alone. The guides below cover the GEO playbook, how it overlaps with SEO, and where it diverges.
4 posts
llms.txt: Do AI Engines Actually Read It?
llms.txt is supposed to feed your content to AI models. The evidence says no major engine fetches it yet. Here is what the proposal claims, what server logs show, and what AI actually uses.
The Complete Guide to robots.txt: Rules, Examples, and AI Crawlers
robots.txt controls what search engines and AI crawlers can access. Learn the syntax, common patterns, and how to handle GPTBot, ClaudeBot, and PerplexityBot.
Schema Markup for SEO and AI Search: A Practical Guide
Learn what schema markup is, how to add structured data to your pages, and why it matters for both Google rankings and AI search citations.
Generative Engine Optimization (GEO): How to Rank in AI Search and Google at the Same Time
Learn what Generative Engine Optimization is, how AI search engines pick their sources, and how to optimize your site for both Google and AI-powered answers.