As consumers turn to ChatGPT, Gemini, and Claude for product recommendations, the way brands reach customers is fundamentally shifting. Generative engine optimization (GEO) is emerging as a new marketing frontier that differs sharply from traditional search engine optimization.
The key difference is structural. Traditional SEO aims to rank high on page one of Google results, competing for top clicks alongside many other links. GEO collapses that competition into a single answer. "When it comes to search, the way search is structured is you put in keywords, and then you have a page one, a page two… whereas generative engine optimization is all about appearing in one answer as opposed to kind of being one of several links, and it's very contextual," says Joseph Levi, CEO and cofounder of digital marketing agency Noise Media.
This concentration of visibility into one answer raises the stakes considerably. Instead of competing to rank third, brands must compete to be the answer itself. With about a billion people using ChatGPT weekly, the audience for this shift is already massive.
Two Paths to Win in GEO
Levi identifies two distinct behaviors. The first is direct brand queries, when a consumer asks an AI directly about a specific brand. Here, clarity matters. Brands must ensure AI systems understand them accurately and don't confuse them with competitors. This starts with structured data on a brand's website, including schema markup and frequently answered questions.
The second is category-based discovery, which is more competitive. When consumers ask for recommendations like "the best paleo snack," brands must already be recognized as credible options in that category. Authority becomes the deciding factor. This requires breadth across multiple media formats: credible content, coverage in respected publications, press releases, guest blogs, and podcast features.
Notably, third-party validation carries more weight than self-promotion. "AI agents will trust what others say about you more than what you say about yourself," Levi says. This means consumer reviews, press coverage, and thought leadership all feed into how AI systems rank brand recommendations.
An Opening for Smaller Players
Large brands already benefit from built-in authority signals. But because GEO is early and most brands haven't yet focused on it, smaller companies have a window to compete. Niche positioning offers a real advantage. "If a smaller brand were to really home in on one specific niche area, it will give them a much better chance of appearing in recommended answers," Levi explains.
Success in GEO rewards consistency over shortcuts. "It's not necessarily about tricks or hacks. It genuinely is about writing high-quality content… being featured in publications… and building up user reviews," he says.
Measuring What Matters
Unlike SEO with its clear ranking and traffic metrics, GEO success hinges on visibility within answers. The simplest test is direct: ask ChatGPT about your brand and see what appears. This baseline check can reveal misinformation, content gaps, or missed opportunities that should inform strategy adjustments.
The Next Frontier: From Answers to Actions
As agentic AI evolves, its role will expand beyond answering questions to actually making purchases on behalf of consumers. When that happens, a single recommendation becomes the only one that matters. For brands, the implication is straightforward: success means executing marketing fundamentals consistently, transparently, and at scale.