For more than two decades, SEO (Search Engine Optimization) was the default strategy for brands to be found online. But the digital landscape is shifting fast. Today, millions of people no longer open Google and pick a link, they ask an AI engine directly and follow its recommendation.
What is GEO?
GEO (Generative Engine Optimization) is the practice of optimizing a brand's content, reputation, and digital presence so AI engines like ChatGPT, Gemini, Perplexity, and Claude mention it positively when answering relevant questions.
How is it different from SEO?
SEO focuses on ranking in search engine results pages (SERPs). GEO focuses on whether your brand is mentioned and recommended inside the answer an AI generates. With SEO, the user still picks which link to click. With GEO, the AI does the choosing, and it often names only one or two brands.
Fratello — GEO Platform
Already know if your brand gets mentioned by ChatGPT or Gemini?
Fratello tracks your brand's visibility across 4 AI engines at once, automatically, every week.
Try it free →Why does this matter now?
Our data shows more than 2.4 million "product recommendation" style questions are sent to AI engines every month, and that number keeps growing. If your brand is absent from those answers, your competitor is the one earning the customer's trust.
Three pillars of GEO
First, content credibility: AI engines tend to mention brands with quality, authoritative, and consistent content across platforms. Second, external reputation: reviews, media mentions, and relevant backlinks help AI "learn" about your brand. Third, data structure: information that is structured and easy for machines to parse (schema markup, structured FAQs) increases the odds of being mentioned.
A first step you can take today
Start by auditing your brand's AI visibility: ask ChatGPT or Gemini directly about your product category and see who gets named. If your brand does not show up, that is a signal there is a gap to close. Fratello automates this process by sending hundreds of prompts to four AI engines every week, then reporting the results in a single dashboard.