What is generative engine optimization (GEO)?
GEO is optimizing your content to be cited and recommended by AI assistants: ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Where SEO chases rankings, GEO chases citations in AI answers. It rewards direct answers, clear structure, dates, named sources, and third-party mentions, and a new tool category (Peec AI, Semrush One) now measures it.
The traffic landscape shifted: a growing share of questions that once produced ten blue links now produce one synthesized answer, in ChatGPT, in Perplexity, or in Google’s own AI Overviews and AI Mode. Brands discovered that being the cited source in that answer is the new position one, and that the old playbook only partially transfers. The industry settled on names: generative engine optimization (GEO), or LLM SEO.
What the research and practitioner data consistently reward: content that answers the question directly in the first paragraph (LLMs extract; they do not scroll), clear heading structure and tables, visible dates and authorship, citations to named sources, and consensus across the web: AI engines weight brands that multiple independent sites mention, which makes digital PR and community presence (Reddit is heavily cited by several engines) newly measurable work. Technical basics matter too: allowing AI crawlers in robots.txt and providing clean, structured pages.
Measurement is the newest piece. Dedicated trackers like Peec AI run your important prompts against the major engines on a schedule and report mentions, citations, and share-of-voice; Semrush One bundles similar tracking into its suite, and SE Ranking added it to higher tiers. Our advice: treat GEO as an extension of good SEO rather than a replacement. The pages that win citations are overwhelmingly the same ones that rank: clear, sourced, current, and genuinely useful. Optimize for the reader, structure for the machine, and start measuring before your competitors do.