Get your brand cited and recommended by ChatGPT, Claude, Gemini, and Perplexity. As AI assistants become the default research tool, GEO determines whether your name comes up — or your competitor's does.
Generative Engine Optimization (GEO) is the practice of making your brand, content, and expertise more likely to be cited, recommended, or referenced by AI language models — including ChatGPT, Claude, Gemini, and Perplexity. As more users turn to AI assistants for information, research, and recommendations, GEO has emerged as a distinct discipline alongside traditional SEO and AEO. When someone asks an AI "who are the best fractional CMOs?" or "what is the best AI strategy firm in Las Vegas?" — GEO determines whether your name comes up.
GEO vs. SEO vs. AEO: GEO is distinct from SEO and AEO. SEO earns blue-link rankings on Google. AEO earns Google's answer boxes and featured snippets. GEO earns citations and recommendations inside AI chat interfaces. The signals that drive GEO performance are different from traditional search — authority, citation patterns, structured data, and the quality of your content relative to what AI models were trained on. A complete search visibility strategy addresses all three.
GEO is the newest and fastest-evolving discipline in search visibility. AI language models don't rank pages the way Google does — they synthesize information from their training data and live web retrieval, and surface the brands, experts, and sources that appear most authoritative, well-cited, and clearly defined across the open web.
The first step is an AI citation audit: systematically testing how your brand currently appears (or doesn't appear) when target customers pose relevant queries to ChatGPT, Claude, Gemini, and Perplexity. This establishes the baseline and surfaces the gaps.
From there, the work involves building the signals that AI models rely on: entity establishment in knowledge bases, E-E-A-T signal development, high-authority citation building in the sources LLMs most heavily reference, structured data that makes content machine-readable, and definitional content that directly answers the questions AI models are trained to respond to. Unlike traditional SEO, GEO is as much about your off-site presence as your on-site content.
When potential customers ask AI assistants for a recommendation in your category, your competitors appear and you don't. GEO builds the signals that change that.
Individual expertise is increasingly validated by whether AI models can accurately describe your work and recommend you. GEO ensures your personal and professional brand is accurately represented in AI responses.
AI-powered search is growing. Companies that build GEO authority now will have a structural advantage as more queries shift from traditional search to AI assistant interfaces.
Schedule a discovery call to audit where your brand stands in AI search today — and build the strategy to ensure you're the answer when your customers ask.