Answer Engine Optimization (AEO) is the practice of structuring web content so AI answer engines cite your page as the source of their synthesized response to a user query. Where traditional SEO competes for one of ten blue links on the SERP, AEO competes for the inline citation embedded in the AI's answer.
AEO is the natural successor to SEO. Both depend on schema markup, page speed, content depth, and internal linking — but AEO weights direct-answer format, factual density, and AI-bot accessibility far more heavily. A page that ranks well on Google but lacks FAQPage schema, a visible last-updated date, or clear direct-answer paragraphs will be skipped by AI engines even when it answers the query.
The eight signals that matter most in AEO are direct-answer format, question-style headings, structured data, llms.txt declaration, factual density (concrete numbers and dates), recency signals, AI-bot accessibility in robots.txt, and external authority citations. Each AI engine weights these slightly differently, but the cross-cutting investments compound.
According to industry data (HubSpot 2026), ChatGPT alone accounts for roughly 87% of all AI-referral traffic to web pages. Perplexity, Google AI Overviews, and Claude make up the rest. Optimizing for AEO is a first-mover opportunity in 2026 — 70% of organizations recognize the importance but only 20% have begun implementation.