With the rise of AI, many of us have come to rely on tools like ChatGPT, Gemini, and Perplexity in our daily lives. Whenever a question pops up, we simply ask them directly. Their process usually works in two steps: first, they search the web; second, they summarize and synthesize the information they find.
On May 17, 2026, I suddenly became curious about the entire process behind AI‑generated search answers. Looking back, before AI became mainstream, we used to turn to search engines like Google and dig through results ourselves. Now, we just ask an AI. It’s so much more convenient.
As I dug deeper, I came across a term: GEO – short for Generative Engine Optimization. Simply put, GEO is the optimization strategy for AI‑powered conversational search, targeting platforms like ChatGPT, Google Gemini, Microsoft Copilot, and Claude. The goal is to make your web content more easily crawled, summarized, and directly quoted in AI answers, leading to higher citation rates.
GEO has a familiar cousin: SEO (Search Engine Optimization), which focuses on traditional search engines like Google and Bing, aiming to rank keywords and drive clicks. The two serve similar purposes but differ in how they work – GEO tries to get your content directly adopted by AI models, while SEO tries to get users to click through to your page. I found it fascinating that GEO and SEO are so closely connected: wherever search exists, optimization follows – it just evolves as search itself does.
Since web search has always relied on SEO and independent websites, the AI era naturally calls for GEO. And that’s exactly why this blog was born.
Welcome to my journey – exploring SEO, diving deep into GEO, and learning out loud.
