More and more often, instead of typing a query into Google, people ask ChatGPT, Gemini or Perplexity directly: "which software agency would you recommend in Miami" or "what's the best way to automate my invoicing." These tools don't hand back ten links to sort through — they pick one (or a handful of) sources and cite them. If your business isn't among those sources, it might as well not exist for that query. This is what's known as GEO (Generative Engine Optimization), and unlike traditional SEO, the goal isn't ranking first — it's being the reference the model decides to use.
What actually changes compared to regular SEO
Classic SEO optimizes for a search engine to show your page near the top of the results and get a click. GEO optimizes for a language model to understand your content, consider it trustworthy, and use it as a source when building an answer — whether or not the user ever visits your site. These are different goals, but not opposing ones: much of what makes SEO effective (clear content, authority, good structure) also helps with GEO.
Classic SEO is still the foundation — don't abandon it
Before thinking about AI optimization, get the basics right: page speed, content that's actually indexable (not everything hidden behind unrendered JavaScript), clear internal linking, and pages that genuinely answer what their title promises. Generative AI systems, including Google's AI Overviews, tend to lean on organically top-ranked pages to build their answers. If your site doesn't show up well in traditional search, it's harder for it to get cited in an AI answer.
Structured data stops being a technical afterthought
Marking up your content with schema.org (Organization, LocalBusiness, FAQPage, Product, Article) gives AI models clear, unambiguous information about who you are, what you offer, and where. It's the difference between a model having to guess what your business does by reading loose paragraphs, versus knowing it with certainty because it's declared in a format it can read directly. A well-marked FAQ page, for instance, is content AI systems cite often because it already comes in question-and-answer form.
Write so you can be cited
Language models favor self-contained snippets: a clear definition in the first line of a section, concrete specifics instead of generalities, numbered lists and steps instead of long unstructured paragraphs. An article on "how to register a business in the US" that opens with a direct definition and then builds from there is far more citable than one that takes three paragraphs to get to the point.
Your reputation off your own site matters more than you'd think
AI models don't just read your website — they cross-reference Google reviews, industry directory listings, forums like Reddit, third-party comparisons, and profiles on platforms like Tech Behemoths or Clutch. A business with genuine reviews, consistent presence (same name, address and contact details everywhere) and mentions on external sources carries far more weight with a model than one that only talks itself up on its own site.
How to check if you're already being cited
You don't need an expensive tool to start: ask ChatGPT, Gemini and Perplexity directly about your industry and location ("software development agencies in Miami," for example) and see whether your business comes up — and if it doesn't, which sources the model is using instead. That gives you a concrete list of where you need a presence.
None of this replaces traditional SEO — it builds on it. If you want us to assess how ready your site is to show up in AI answers, from structured data to your presence on external sources, we can run a concrete audit and prioritize what to fix first.