Generative Engine Optimization (GEO): Getting Cited by ChatGPT and AI Overviews | Tag Easy Journal
Generative Engine Optimization (GEO) makes content easy for AI answer engines like ChatGPT, Perplexity, and Google AI Overviews to extract and cite: write clear factual claims, add structured data (Organization, Service, FAQPage, Article, Person), strengthen your entity with consistent sameAs links and NAP, and publish AI-readable files like llms.txt.
AI answer engines are a new discovery channel. GEO is how you structure content and entities so ChatGPT, Perplexity, and Google AI Overviews cite your business.
Search is no longer just ten blue links. ChatGPT Search, Perplexity, Google AI Overviews, and Gemini increasingly answer questions directly and cite sources. Generative Engine Optimization (GEO) is the practice of making your content the kind these engines can confidently extract and cite.
AI engines prefer concrete statements over poetic marketing copy. "We completed the migration in eight weeks with zero downtime" is citable; "we architect digital headquarters that command attention" is not. Use definitions, short factual paragraphs, lists, and Q&A blocks.
Structured data does heavy lifting. Organization, LocalBusiness, Service, FAQPage, BreadcrumbList, Article, and Person schema help engines understand your entity, services, and authors. FAQ blocks that match visible content are especially effective hooks.
AI engines triangulate identity across the web. Link your profiles with `sameAs` (LinkedIn, Instagram, Crunchbase), keep consistent NAP, and consider authoritative third-party listings. The more consistently your entity appears, the more confidently engines cite you.