A year ago, when someone searched for "best gastroenterologist in Boca Raton," they got ten blue links and a map pack. They clicked a few, compared reviews, and made a call. That still happens — but now, many of those searches also produce an AI-generated answer that names specific providers, summarizes their qualifications, and links to their profiles. The searcher may never scroll past it.
This is the shift that generative engine optimization addresses. Not replacing SEO — extending it into the AI layer that now sits between the search query and the traditional results.
The Three AI Search Surfaces That Matter
When we talk about "AI search," we're talking about three distinct environments, each with its own behavior:
- Google AI Overviews. These appear at the top of Google's standard search results for an increasing number of queries. They synthesize information from multiple sources into a paragraph or structured answer, with citation links. For local and healthcare queries, they pull heavily from Google Business Profiles, authoritative health sites, and well-structured local content.
- ChatGPT with search. OpenAI's search integration lets ChatGPT pull real-time web data to answer questions. Users increasingly ask it for recommendations — "find me a dermatologist near me" or "what's the best Italian restaurant in Delray Beach" — and it returns sourced answers with links. It favors sites with clear, factual content and strong domain authority.
- Perplexity. Built as an AI-native search engine, Perplexity answers queries with cited sources. Its user base skews toward researchers and professionals, but it's growing into consumer searches. It's particularly good at synthesizing multiple sources, which means your content needs to say something distinctive enough to be cited rather than summarized away.
How GEO Differs from Traditional SEO
Traditional SEO optimizes for Google's ranking algorithm: you want your page to appear in position one through three for a target keyword. GEO optimizes for a different outcome: you want your brand, practice, or business to be named in an AI-generated response.
The distinction matters because the mechanics are different:
- SEO rewards page-level optimization. Title tags, heading structure, keyword placement, backlinks, page speed. You're optimizing individual pages to rank for specific queries.
- GEO rewards entity-level authority. AI models synthesize information about your business from across the web — your site, your profiles, reviews, press mentions, directory listings, and third-party content. They're building an understanding of what you are and whether you're credible enough to recommend. A single well-optimized page matters less than consistent, authoritative information everywhere.
This doesn't mean page-level SEO stops mattering — the pages still need to exist and be well-structured for AI systems to crawl and understand them. But the weight shifts toward comprehensive digital presence rather than individual page rankings.
What AI Systems Look for When They Recommend
We've been tracking how AI search systems select which businesses to cite in their responses. Across hundreds of queries in healthcare, hospitality, and professional services, the patterns are consistent:
- Structured data. Schema markup gives AI systems machine-readable facts about your business. A medical practice with Physician, MedicalBusiness, and FAQPage schema is dramatically more likely to be cited than one without. The AI doesn't have to guess what you do — you've told it explicitly.
- Review signals. Volume, recency, and sentiment across Google, Yelp, and industry-specific platforms. AI models weight these heavily when deciding whom to recommend for "best" or "top" queries.
- Content depth and specificity. Thin content gets summarized into oblivion. Content that provides specific, original information — your own data, original frameworks, case-specific insights — gets cited because the AI can't get that information anywhere else.
- Consistent entity information. Your name, address, phone, services, and credentials should be identical everywhere they appear online. Discrepancies create ambiguity, and AI systems avoid recommending businesses they can't confidently describe.
- Third-party mentions. Press coverage, industry publications, professional directories, and business citations all contribute to how AI models assess your prominence. If authoritative sources mention you, the AI is more likely to mention you too.
A Practical GEO Playbook
Here's what we're actually doing for clients who want to be visible in AI search results:
- Audit your entity presence. Search your business name in ChatGPT, Perplexity, and Google with the AI Overview enabled. What does the AI say about you? Is it accurate? Is it favorable? If the AI doesn't mention you for your core terms, that's your baseline.
- Implement comprehensive schema. Not just LocalBusiness — the full hierarchy relevant to your industry. For a medical practice, that means MedicalBusiness, Physician, MedicalCondition, FAQPage, and Review markup. For a restaurant, it's Restaurant, Menu, and AggregateRating. For professional services, it's ProfessionalService with service-specific markup.
- Build content around questions, not just keywords. AI search answers questions. Structure your content as clear answers to specific questions patients, customers, or clients actually ask. Use FAQ sections, Q&A pages, and how-to guides. These formats map directly to how AI systems parse and cite information.
- Strengthen your citation network. Every directory, profile, and listing where your business appears is a data point the AI can reference. Ensure they're complete, accurate, and consistent. Add structured data to each one where possible.
- Create content the AI can't synthesize from competitors. Original research, proprietary data, case studies with specific numbers, and first-person expertise. When the AI needs to cite a source for a unique claim, yours is the one it links to.
- Track AI visibility separately. We monitor client mentions across AI platforms on a regular cadence — what queries trigger mentions, how the language changes over time, and whether competitors are gaining or losing AI visibility. This is different from traditional rank tracking, and the tools are still emerging, but the data is actionable.
GEO Is Not a Replacement for SEO
We see some agencies positioning GEO as "the future that replaces SEO." That's wrong. AI search systems rely on the traditional web for their source material. If your pages don't rank, don't exist, or aren't well-structured, the AI has nothing to pull from. SEO is the foundation. GEO is the new layer on top of it.
The businesses that will win in both environments are the ones doing the fundamentals well — strong technical SEO, comprehensive local signals, authoritative content, consistent identity — and then extending that work into the formats and structures that AI systems prefer.
The brands that AI recommends tomorrow are the ones building the authority signals today.