SEO & GEO Blog — Rank in Google and Get Cited by AI
Guides on Generative Engine Optimization and SEO for the AI search era: get cited in ChatGPT, Perplexity, and Google AI Overviews, plus llms.txt, AEO, content gaps, and AI-visibility tracking.
SEO & GEO
GEO and SEO for the AI search era — get cited in ChatGPT, Perplexity, and Google AI Overviews, and track your AI visibility.
GEO vs SEO: What's the Difference (and When Each Matters)
GEO optimizes for being cited in AI answers (ChatGPT, Perplexity, Google AI Overviews). SEO optimizes for ranking links in classic search. This guide explains the real difference, what changed with AI search, what carries over, and when to focus on each.
What Is GEO (Generative Engine Optimization)? A Plain-English Guide
GEO (Generative Engine Optimization) is the practice of getting your content retrieved, quoted, and cited inside AI answers like ChatGPT, Google AI Overviews, and Gemini. This guide explains what GEO is, how AI engines pick their sources, why it matters now, and how it relates to SEO.
What Is Content Gap Analysis (and How to Do It)
Content gap analysis finds the topics and questions your audience searches for that your site doesn't answer well — including the questions AI engines cite competitors for. This guide defines it and gives a practical step-by-step.
Is SEO Dead in the AI Era? What the Data Actually Says
No, SEO isn't dead — but it changed. Classic search still drives the overwhelming majority of website traffic, while AI answers add real zero-click pressure. This data-backed guide shows what changed, what still works, and what to do now.
What Is Answer Engine Optimization (AEO)? A Plain-English Guide
Answer engine optimization (AEO) is the practice of optimizing your content to be the answer that answer engines surface — featured snippets, voice assistants, and AI chatbots like ChatGPT. This guide defines AEO, explains how it relates to SEO and GEO, and gives concrete tactics.
llms.txt: What It Is and How to Set It Up
llms.txt is a proposed plain-text convention — robots.txt-style — that points AI/LLM crawlers to your most important content in clean Markdown. This guide explains what llms.txt is, how it works, how to create one (with a copyable example), whether AI engines actually use it, and how it differs from robots.txt.
How to Rank in ChatGPT Search (Get Cited as a Source)
A practical guide to getting cited in ChatGPT Search: how ChatGPT retrieves and picks its sources, whether it uses Bing or Google, and the concrete steps — allow OAI-SearchBot, get indexed, write citable answers, build corroboration — to become a source ChatGPT quotes.
AI Visibility: How to Track Whether AI Is Citing Your Brand
AI visibility is whether and how prominently your brand gets mentioned and cited in AI answers — ChatGPT, Perplexity, Google AI Overviews, Gemini. This guide defines it, explains why traffic analytics undercount it, and gives a practical way to track citation share, accuracy, and prominence.
How to Get Into Google AI Overviews (and Recover Traffic You Lost to Them)
Google AI Overviews are eating organic clicks — but they also cite sources. This guide explains how AI Overviews pick the pages they quote, the concrete moves to get cited, why your traffic dropped, how to recover it, and the honest truth about opting out.
How to Rank in Perplexity (Get Cited as a Source)
Perplexity answers questions in real time and cites its sources inline — so "ranking" means becoming one of those citations. This guide explains how Perplexity selects sources, concrete tactics to get cited, how it differs from Google and ChatGPT, its crawler and robots.txt, and why freshness matters.