What Is GEO (Generative Engine Optimization)?
GEO is the practice of structuring a website so AI-powered search and answer systems — ChatGPT, Perplexity, Google AI Overviews, and similar tools — can understand, retrieve, and accurately cite it. It builds on the same foundations as SEO: crawlable pages, clear entity information, and well-structured content.
Why GEO exists as a separate idea
Traditional SEO optimizes for a ranked list of blue links. AI answer engines work differently: they retrieve relevant passages from crawled content, synthesize an answer, and sometimes cite a small number of sources. A page can rank well in classic search and still be a poor source for an AI summary if it's vague about who's behind it, buries the actual answer under filler, or lacks the structured data that makes facts machine-readable.
What GEO actually involves
- Answer-first writing — the direct answer near the top, followed by evidence and detail
- Consistent entity signals: who the business is, what it does, where it operates, kept the same across the site, Google Business Profile, and other listings
- Structured data (Organization, Person, Service, Article, FAQPage) that describes the visible content accurately
- Technical crawlability — nothing blocking AI or search crawlers from reading the page
- Original, specific content rather than generic, interchangeable filler
What GEO does not involve
GEO is not a trick, a plugin, or a file you drop into your site root. It's not a guarantee of being cited by any specific AI tool — no ethical agency can promise that, since the underlying models and retrieval systems change frequently and aren't fully documented publicly. It's also not a replacement for SEO; see SEO vs GEO → for how the two relate.
See how we apply GEO in practice.
Read the full GEO service overview, or explore related topics: SEO vs GEO · Entity SEO · AI Overviews