Generative Engine Optimization: How to Get Your Business Cited by AI Search
Table of Contents
TL;DR:
Generative engine optimization (GEO) is the practice of shaping your content so AI tools like ChatGPT, Perplexity, and Google’s AI Overviews cite your business by name when they answer a question. It works differently than traditional SEO, rewarding clear, direct, well sourced content over keyword density and link volume.
What Generative Engine Optimization Actually Means
Generative engine optimization is the work of getting your business named inside the answer an AI tool gives, not just listed among ten blue links below it. When someone asks ChatGPT to recommend a family dentist in Richmond, or asks Perplexity what a kitchen remodel should cost in Henrico County, the tool doesn’t hand back a results page. It writes a paragraph, and that paragraph either includes your business or it doesn’t. There’s no page two to fall back on.
That’s a different game than the one most business owners have spent years learning. Traditional SEO is built around ranking a page for a keyword. GEO is built around being the source an AI model trusts enough to quote, paraphrase, or recommend. The two overlap more than they conflict, and we’ve written before about how AI SEO and traditional SEO work together rather than replacing one another. But GEO has its own set of rules, and right now, very few local businesses are playing by them on purpose.
Why This Matters for Richmond and Mid-Atlantic Businesses Right Now
Gartner made a widely cited prediction back in 2024 that traditional search engine volume would fall 25 percent by 2026 as more people turned to AI chatbots and virtual agents instead of typing a query into Google. The number itself has been debated since, and Google’s own AI Overviews have kept a lot of that volume inside Google rather than losing it to ChatGPT outright. But the underlying shift the Gartner prediction pointed to is real. Search has stopped being a single channel. It’s now a Google results page, an AI Overview sitting above that page, and a growing number of people who skip the page entirely and ask ChatGPT or Perplexity directly.
We see this play out with clients constantly. A contractor in Chesterfield who ranks well in the Map Pack can still be completely absent when a homeowner asks an AI assistant “who does kitchen remodels near me that won’t blow my budget.” A personal injury law firm on West Broad Street can hold a strong organic position and still lose the referral when someone asks an AI chat bot, like ChatGPT, to explain what to look for in a car accident attorney, because the model pulled its answer from three other firms’ content instead. Ranking well in traditional search no longer guarantees you show up in the conversation happening around AI tools, and that conversation is where an increasing share of first impressions get made.
What the Research Actually Says Gets Cited
Researchers from Princeton, Georgia Tech, the Allen Institute for AI, and IIT Delhi ran the first large scale study on this exact question, testing thousands of queries across nine different datasets to see what made content more likely to get cited by generative engines. The study, published through ACM SIGKDD, found that specific, testable changes to a page (adding relevant statistics, citing credible sources, including direct quotations, and writing in clear, structured language) increased a page’s visibility in AI generated answers by 30-40%. Vague, generic content, even when well optimized for traditional keyword ranking, did not perform nearly as well.
That finding lines up with what we’ve observed managing content for clients across healthcare, legal, home services, and retail. Pages that state a specific number, cite where that number came from, and answer a real question in the first two sentences get pulled into AI summaries far more often than pages that open with a paragraph of throat clearing before getting to the point. AI models are, in a sense, looking for the same thing a busy person skimming a page is looking for: the answer, fast, with something behind it.
Newer research tracking what actually shows up in AI answers has found that comparison style content (this versus that, this option versus that option) accounts for roughly a third of all AI citations, more than any other content type. It also found that about half of the content currently being cited was published within the last three months, which tells you these systems favor fresh material over content that’s been sitting untouched for years. A restaurant group or real estate company that updates its content regularly has a real edge here over one that wrote a page in 2022 and hasn’t touched it since.
Wondering whether your website is even showing up when people ask AI tools questions about your industry?
We can run a quick audit and show you exactly where you stand across ChatGPT, Perplexity, and Google’s AI Overviews, and what it would take to close the gap.
What GEO Actually Looks Like on Your Website
The tactical work isn’t exotic. It’s a set of habits layered on top of the SEO fundamentals most businesses already understand.
Start with the questions people actually ask, not the keywords you’d guess at from a marketing meeting. A healthcare practice benefits more from a page titled “What to expect at your first cardiology appointment” than from a page stuffed with variations of “cardiologist Richmond VA.” Write the answer directly in the opening sentences. AI models tend to pull from the part of a page that answers the question most plainly, not the part buried three paragraphs down after a company history.
Back up your claims with real numbers and name where they came from. If you’re a nonprofit citing the impact of a program, or a retailer describing how a product performs, a specific figure with a source attached carries more weight with an AI model than a confident sounding claim with nothing behind it.
Use schema markup so AI crawlers and search engines can parse exactly what your business does, where it’s located, and what questions your content answers. This has quietly become one of the more overlooked pieces of technical SEO, and it matters even more for AI systems trying to extract structured facts from your site quickly.
Keep your Google Business Profile current and your reviews flowing. AI tools draw on the same signals of credibility that local search has always rewarded, and a thin or outdated profile makes it harder for any system, human or otherwise, to trust what you’re telling them about your business.
None of this works without a website that’s fast, well structured, and easy to crawl in the first place. If your web design is cluttered or slow, you’re making it harder for both Google and AI crawlers to find and understand your content, no matter how well written it is.
Where Businesses Get This Wrong
The most common mistake is treating GEO as something to worry about later, once a competitor forces the issue. That’s backwards. Because so few local and mid-size businesses have touched this yet, the businesses that do a reasonably good job of it now have an outsized chance of being the ones AI tools default to citing in their category for years to come. These systems build a kind of reputation for a brand over time, and getting established early matters more here than it does in traditional search, where a well funded competitor can often out-rank you through sheer volume of content and links.
The second mistake is chasing GEO with thin, AI generated filler content written specifically to game the system. It doesn’t hold up. The Princeton study and the pattern we see in client results both point in the same direction: specificity, sourcing, and genuine usefulness are what get rewarded, not tricks. A retailer who writes a real, detailed comparison of two product categories will outperform a competitor who publishes ten shallow posts stuffed with keywords.
The third mistake is ignoring this because “AI isn’t how my customers find me.” For some businesses that’s still mostly true. For a growing number, it isn’t, and the businesses that wait until they see it in their own numbers will be playing catch-up against competitors who started building this presence months earlier.
Building on What You Already Have
If your business already has a solid website, decent content, and a clean local presence, you’re not starting from zero. Generative engine optimization is less a separate discipline than an extension of the same credibility building work that’s always mattered, applied to a new set of tools that are reading your content differently than Google’s algorithm does. The businesses seeing the most benefit right now aren’t reinventing themselves. They’re taking what already works, sharpening the specifics, and making sure the structure of their site gives AI systems something clear to work with.
The gap between doing this well and doing nothing at all is only going to widen as more of your customers start asking AI tools these questions before they ever open a search engine.
If you want a clear picture of where your business stands and what it would take to close that gap, reach out to the team at FreshMove Media for a free exploratory meeting. We’ll look at what’s working, what’s missing, and what’s worth prioritizing first.
Is generative engine optimization the same thing as SEO?
No, though the two overlap. Traditional SEO is about ranking a page in a list of search results. Generative engine optimization is about getting your business named inside the answer an AI tool writes, whether that's a Google AI Overview, a ChatGPT response, or a Perplexity summary. A strong website and solid local SEO give you a foundation, but GEO requires additional work around sourcing, structure, and how directly your content answers specific questions.
How long does it take to see results from GEO work?
It varies, but AI systems tend to favor fresher content more than traditional search does, so changes can surface in AI generated answers faster than a comparable SEO change might move your Google rankings. That said, this is still relationship and trust building work. Consistent, well sourced content over a few months does more than a single page published once and forgotten.
Do I need a huge content budget to compete in AI search?
No. The research points toward specificity and sourcing mattering more than volume. A handful of well built pages that directly answer real questions your customers ask, backed by real numbers and clear structure, will outperform a large volume of generic content. This is one area where a small or mid-size business can compete seriously against a much bigger budget.