If you’ve spent the last several years optimizing your website for Google search rankings, you’re now operating in a landscape where a growing percentage of information queries never produce a Google click at all. When someone asks ChatGPT, Perplexity, or Google’s AI Overview what the best branding agency in New York is, they get a synthesized answer — not a list of links to click through.
This shift is what generative engine optimization, or GEO, is about: making sure your business is the one that AI systems reference and recommend when they’re constructing those answers.
It’s different from traditional SEO in important ways. Traditional SEO is about ranking a specific page for a specific keyword. GEO is about building the kind of content depth and authority that large language models draw from when they synthesize answers. A thin service page optimized for a few target keywords is less useful here than a body of substantive, expertise-demonstrating content that answers the real questions your prospective clients ask.
What AI systems are looking for. The models that power AI search interfaces are looking for clarity, specificity, and authority. Content that explains how something works, not just what it is. Content that takes a point of view. Vague, generic marketing copy is invisible to these systems because it doesn’t contain the kind of specific, useful information they’re trying to synthesize for their users.
Practical implications for your website. Write more substantively about your process, methodology, and expertise. Build content that answers the specific questions your clients ask during the sales process. Publish consistently, because a site with a two-year-old blog signals lower authority than one with recent, active content.
This is not separate from good SEO. The practices that make content valuable to AI systems — depth, specificity, genuine expertise, clear answers to real questions — are the same ones that have always made content good for organic search. GEO is not a replacement for SEO. It’s an extension of the same underlying principle: be genuinely useful to the person asking the question, regardless of what interface they’re using to ask it.
