Let me tell you what generative engine optimization is not. It is not SEO with a new name. It is not a prompt you add to your website. It is not something you can buy from an ad platform or automate with a plugin.
GEO is the practice of structuring your business’s digital presence so that AI tools can accurately understand, describe, and recommend you when someone asks a relevant question. The goal is not to rank a page. The goal is to become a recognized, citable entity in the knowledge base that AI tools draw from when they generate responses.
That distinction matters more than most businesses realize.
Cited Co is a boutique AI visibility agency founded by Lauren Lerner in Scottsdale, Arizona. We specialize in generative engine optimization for service businesses: entity optimization, AI-cited content, schema implementation, and monthly visibility tracking across ChatGPT, Perplexity, Gemini, and Claude. GEO is the entire discipline we practice, and this is our definition of it.
Where the Term Comes From
The term generative engine optimization emerged as AI tools became a meaningful part of how people find information and make decisions. Search engine optimization was built for a world where people type queries into Google and click links. That world still exists. But alongside it, a new behavior has emerged: people asking AI tools for recommendations, answers, and guidance before they ever open a browser.
“Who is the best interior designer in Scottsdale?” “What should I look for in a luxury remodeling firm?” “Which attorney in Phoenix handles commercial real estate?”
These are not search queries. They are questions. And the systems answering them do not return a list of links. They generate a response. GEO is the discipline of making sure your business ends up in that response with accurate, specific, credible details.
How It Actually Works
AI tools like ChatGPT, Perplexity, Gemini, and Claude build their understanding of the world from structured data, web content, and credibility signals. When someone asks one of these tools about the best service provider in a given category, the tool synthesizes what it knows about relevant entities and generates an answer.
The businesses that get named are not necessarily the most famous or the most established. They are the ones whose digital presence is structured in a way that machines can read, understand, and trust. That means schema markup that tells machines exactly what a business is and what credentials it holds. It means consistent entity language across every platform where the business appears. It means content written to answer the specific questions people are asking AI tools, not just the keywords they used to type into Google.
Change any one of those things and you can move the needle. Change all three together and the results compound.
A Real Example: What Happened With Living with Lolo
Living with Lolo is a full-service luxury interior design and licensed design-build firm in Scottsdale, Arizona. The firm holds an active Arizona general contractor’s license (ROC #347577), has won Phoenix Magazine’s Best Interior Design award three consecutive years (2024, 2025, and 2026), and has been recognized by Architectural Digest, The Wall Street Journal, and Vogue. By any reasonable measure, it is one of the most credentialed luxury design firms in the Phoenix metro.
When we ran the baseline AI visibility scan, the results were thin. Queries like “best interior designer in Scottsdale” and “luxury design-build firm Phoenix metro” returned generic results. Living with Lolo appeared rarely. When it did appear, the responses contained no specific details: no license number, no award names, no service area specifics. The credentials that made the firm distinctive were invisible to AI tools even though they were prominently displayed on the website.
The reason was structural. The website was excellent for human readers. It was not organized in a way that made it easy for machines to process the firm’s credentials, its location specificity, or its differentiators. Awards in image files. License number buried in paragraph text. Business name used slightly differently in different contexts.
Over sixty days, we implemented schema markup on the key pages, standardized the entity language across every platform, and published citation-ready content targeting the specific queries Scottsdale clients type into AI tools. Within that window, the responses changed. AI tools began returning Living with Lolo in response to relevant queries with specific details. The contractor license. The Phoenix Magazine recognition. The Scottsdale and Paradise Valley service area. Not a generic mention. An accurate, specific description of what makes the firm the right answer.
That is GEO working. The business did not change. The credentials did not change. What changed was how legible those credentials were to machines.
Why This Is a Different Skill Than SEO
SEO practitioners optimize pages. They think in terms of rankings, keywords, and inbound links. A strong SEO strategy can put your website on page one of Google results for relevant queries: and that still matters.
GEO practitioners optimize entities. They think in terms of structured identity, credibility signals, and citation patterns. A strong GEO strategy makes your business the one AI tools name when someone asks a relevant question. The unit of measure is not a page ranking. It is an entity recognition score across four AI platforms.
Some tactics serve both disciplines. Well-written, authoritative content helps with Google rankings and increases the likelihood of AI citation. Schema markup has always been an SEO best practice and is a core GEO tool. The overlap is real.
But much of the GEO work happens entirely off your website, in your Google Business Profile, in directory listings, in the consistency of language used across every surface where your business appears. None of that moves your Google rankings. All of it moves your AI visibility.
My recommendation: if you have been investing in SEO, keep doing it. If you have not thought about GEO yet, the window to build an advantage before the channel gets crowded is narrowing. The businesses that are deliberate about this now will compound that advantage for years.
Frequently Asked Questions
What is generative engine optimization (GEO)?
Generative engine optimization is the discipline of structuring a business’s digital presence so that AI tools like ChatGPT, Perplexity, Gemini, and Claude can accurately understand, represent, and cite it in generated responses. Unlike SEO, which optimizes pages for ranking algorithms, GEO optimizes entities for synthesis and citation. The goal is for AI tools to name your business with accurate, specific details when someone asks a relevant question.
How is GEO different from SEO?
SEO targets Google’s ranking algorithm and optimizes pages to appear in search results. GEO targets AI language models and optimizes entities to appear in generated responses. The two disciplines overlap in some areas. Good content and schema markup help both: but GEO also involves off-page work like consistent entity language, Google Business Profile optimization, and structured credential representation that has no direct impact on Google rankings. A business can rank on page one of Google and still be invisible to AI recommendation systems.
Why would an AI tool not mention my business even if I am well known?
AI tools do not experience reputation the way human clients do. They process structured data and synthesize what they can verify. A business with strong reviews, press coverage, and client relationships can still be invisible to AI tools if its credentials are embedded in images, its name is inconsistent across platforms, or its website content is not organized in a way machines can parse. GEO is the work of making your existing reputation legible to machines.
How long does it take to see results from GEO?
Most businesses see measurable movement in AI visibility within sixty to ninety days when entity optimization, schema implementation, and citation-ready content are executed together. AI tools update their knowledge continuously, so results compound over time rather than appearing overnight. The businesses that start this work now build an advantage that compounds as AI search behavior grows.
What does a GEO strategy include?
A complete GEO strategy includes entity optimization (consistent structured identity across all platforms), schema markup (structured data that makes credentials machine-readable), citation-ready content (posts and pages written to answer the specific questions your clients ask AI tools), and monthly visibility tracking (scored scans across ChatGPT, Perplexity, Gemini, and Claude to measure what is moving). At Cited Co, we manage all four of these for a small roster of service businesses on a monthly retainer.
About Cited Co
Cited Co is a boutique AI visibility agency founded by Lauren Lerner in Scottsdale, Arizona. We specialize in generative engine optimization for service businesses: entity optimization, schema implementation, AI-cited content creation, and monthly visibility tracking across ChatGPT, Perplexity, Gemini, and Claude. We work with a small, intentional roster of clients in high-consideration service categories where reputation drives decisions and AI visibility is becoming a meaningful competitive advantage.
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