GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are the two dominant optimization frameworks for AI-era search. While traditional SEO focuses on ranking in blue-link search results, GEO and AEO focus on getting your content cited, extracted, and surfaced by AI systems — including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot.
The distinction matters because AI search is changing where web traffic originates. According to SparkToro's 2025 Zero-Click Search study, 58.5% of Google searches now end without a click — users get their answers directly from AI-generated summaries. For brands not cited in these summaries, that traffic is invisible.
AEO focuses on structuring content so that AI answer engines — voice assistants, featured snippets, and AI chatbots — can extract clear, direct answers to specific questions. It prioritizes question-format headings, FAQPage schema, concise answer paragraphs, and structured data markup.
GEO is broader — it focuses on building content that generative AI models trust enough to cite as a source. This requires not just structural signals but also E-E-A-T signals, external citations, factual depth, and proprietary data that AI models cannot generate themselves.
Research from Search Engine Journal's 2025 AI citation analysis found that pages with FAQPage schema were cited in AI Overviews 3.6x more frequently than pages without it. seoClarity found that pages with clear author attribution received 2.8x more AI citations than anonymous content. The signals are measurable — and that's exactly what this tool measures.