SEO (search engine optimization) is the practice of earning visibility in traditional search results. GEO (generative engine optimization) is the practice of earning visibility inside AI-generated answers from tools such as ChatGPT, Gemini, Perplexity and Google's AI features. The two overlap heavily, but they reward slightly different things.
What SEO optimizes for
Traditional SEO aims to rank a page for a query. It depends on technical health, relevant content, search intent match, internal linking and authority signals such as links from trusted sites. The reward is a click to your site.
What GEO optimizes for
GEO aims to be included in, and cited by, an AI answer. Language models draw on sources that are clear, specific and trustworthy, so the reward is a mention or citation, often without a click. That makes brand clarity and consistency across the web more important.
Where they overlap
- Helpful, specific content that fully answers a question.
- Clean technical foundations: crawlability, speed, structured data.
- Topical authority built through connected content on a subject.
- Trust signals: real authorship, accurate facts, consistent brand information.
Where they differ
- Format: GEO favors concise, well-structured answers, definitions and comparisons that a model can quote.
- Entities: GEO depends on your brand being clearly understood as an entity, with consistent descriptions across your site and profiles.
- Measurement: SEO is measured in rankings and clicks, GEO in mentions and citations, which need different tracking.
Do you need both?
Yes. Strong SEO fundamentals also help you appear in AI answers, and AI visibility increasingly influences who buyers shortlist before they ever search. We treat them as one discoverability system rather than two projects.
Learn more about how we approach this on our AI Search + SEO page.