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.
22 posts
Agentic SEO: Preparing Your Site for AI Agents and the Universal Commerce Protocol
AI agents are starting to act on websites, not just read them. Learn what agentic experiences are, how browser agents see your site, what the Universal Commerce Protocol changes, and how to prepare without falling for hype.
Google's Official AI Optimization Guide, Explained: What It Confirms, What It Debunks, What's New
Google published official guidance on optimizing for AI features in Search. Here is a plain reading of what it confirms, the popular tactics it explicitly debunks, and the genuinely new parts, with what to actually do about it.
llms.txt: Do AI Engines Actually Read It?
llms.txt is meant to feed your content to AI models. New data on 137K sites shows 97% of these files are never even requested. Here is what actually works instead.
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.