A client recently came to us with a detailed list of questions about GEO strategy. What was our approach to generative engine optimization? What new tools and tactics did they need to start paying for? What would it cost?
The honest answer: nearly all of it was already covered in their SEO scope.
GEO (Generative Engine Optimization) is the practice of getting your business mentioned and recommended when someone asks ChatGPT or Claude a question instead of scrolling through Google results. It’s real, and it matters. People are asking AI tools the questions they used to type into search bars, and you should care whether you show up in the answers. But most of what’s being sold as GEO isn’t a new discipline. A site that’s well-structured for SEO is already well-structured for GEO.
The Same Test, A Harder Grader
AI engines didn’t invent new quality signals. They made the old ones unavoidable.
For years there was a gap between what SEO best practices said and what actually worked. A thin, keyword-stuffed page could still climb the rankings if it accumulated enough backlinks and checked the right technical boxes. Everyone knew the content was mediocre. Google sort of knew. But the gaming worked often enough that a whole industry grew up around it.
An AI engine assembling an answer isn’t ranking ten links for a human to sift through; it’s pulling together one response from sources it can understand and trust. Content that never really answered the question gets skipped. There’s no page two to hide on.
Most GEO Advice Is Old SEO Advice
Read any credible list of GEO recommendations and you’ll recognize most of it.
Clear headings that map to the questions people actually ask? That’s been on-page SEO since before it had a name. Semantic HTML and schema markup have been standard technical practice for over a decade. Google has been telling everyone to write authoritative, in-depth content instead of thin keyword pages since the Panda update in 2011. Featured snippets taught the whole industry to answer the question directly, early on the page, then elaborate. Even the credibility advice, naming your sources and putting real expertise behind the content, has been sitting in Google’s published quality guidelines for years.
When we went through our client’s GEO questions one by one, nearly every item pointed back to work already in the SEO scope. The site architecture, the keyword research, the structured data, the content built around what people actually search for. That covers most of the GEO work. It’s good SEO, taken seriously.
What Has Actually Changed
That doesn’t mean nothing has changed.
AI tools weigh sources differently than Google does. They lean on a different mix of citations, brand mentions, and third-party references, and a site can rank well in search and still get overlooked in an AI answer. Nobody can guarantee that ChatGPT will mention a particular business.
But the response shouldn’t be a new bag of tricks. Generic pages that say the same thing as every competitor are worth less than ever. Firsthand experience, original research, specific examples, and named experts are worth more. That’s the real shift, and it rewards the same thing good SEO always has: publishing genuinely useful information in a format machines can understand.
You’re Probably Already There
If your site is well-built, well-structured, and full of content that answers your customers’ real questions, you’re most of the way there on GEO. And if it isn’t doing those things, that was the problem before AI showed up, too.
Keybridge Web is a web design and development agency with offices in Washington, DC and Richmond, VA. We build WordPress websites for associations, businesses, and organizations. If you have questions about how your site shows up in AI search, get in touch.
