June 12, 2026 · 5 min read · By Adam Aksoy, Founder & Software Engineer
Search is splitting in two. People still type queries into Google, but a fast-growing share now ask an AI assistant — ChatGPT, Perplexity, Google's AI Overviews, or Gemini — and read the answer it writes back. Generative Engine Optimization (GEO) is the practice of getting your business cited inside those AI answers.
GEO vs. SEO: what is the difference?
SEO optimizes your site to rank in a list of blue links. GEO optimizes it to be quoted in the answer an AI engine generates. They share foundations — crawlable content, clean structure, fast pages — but GEO adds a few things SEO never had to worry about:
- AI-crawler access. Engines like ChatGPT and Perplexity use their own crawlers (GPTBot, ClaudeBot, PerplexityBot). If your robots.txt blocks them, you are invisible to those tools.
- Entity signals. Structured data — your Organization, your people, your services — tells an AI model who you are and how to tell you apart from similarly named brands.
- llms.txt. A plain-text file that gives AI systems a curated map of your most important pages.
- Answer-shaped content. Self-contained passages that lead with a direct answer, the way an AI engine likes to quote.
Why GEO matters now
AI-referred traffic converts at a notably higher rate than generic search clicks, because the person arrives already informed and pre-qualified by the answer they read. Getting cited in that answer is the new front page — and far fewer businesses are optimizing for it than for traditional search, so the window is open.
Where to start
Three quick wins: confirm AI crawlers can reach your site, add Organization and FAQ structured data, and rewrite your most important pages so each section leads with a clear, quotable answer. From there, an audit will show exactly which engines can see you today and what is holding citations back.
That audit-first, measure-everything approach is how we run GEO at NameVerse. If you want to see where your site stands, get in touch.
