AEO

Traditional SEO optimizes for ranking in Google's blue links. AEO optimizes for citation inside AI-generated answers — the responses you get from ChatGPT, Google AI Overview, Perplexity, and Claude when you ask a question. When an AI system generates an answer, it cites sources. If your content is cited, you get traffic. If it's not, you don't — even if you rank #1 in organic.

AEO has become foundational because answer engines are the fastest-growing interface to the web. A significant portion of search traffic is now flowing through conversational AI rather than traditional search results. An authority page that ranks well in Google but never gets cited by ChatGPT or Perplexity is losing visibility on the surfaces where your audience actually searches.

Both terms describe optimization for AI visibility, but they emphasize different surfaces. AEO is narrower: it targets citation in conversational AI answers specifically — ChatGPT, Perplexity, Claude, Google AI Overview when rendered as a generated answer. GEO (Generative Engine Optimization) is broader: it covers all AI-powered visibility surfaces, including search overviews, generative search features, knowledge panels, AI-powered summaries, and voice assistants.

In practice, the optimization strategy overlaps significantly. Both require clear, authoritative, well-structured content that AI systems can confidently cite. The distinction matters more for marketers than practitioners — AEO is a conversation about conversational AI specifically, while GEO is a conversation about the entire AI-generated search landscape.

LLMs don't rank sources the way Google ranks links. They're trained on web-scale data and make citation decisions based on relevance, authority, and prevalence in their training data. A page that is frequently linked to, appears in authoritative indexes like Wikipedia or major news outlets, and directly answers the user's query is more likely to be cited.

This means AEO requires: clear headline-and-subheading structure that AI can parse, substantive paragraphs that directly answer the question (not filler), quotes or structured facts AI can extract cleanly, and signals of authority — bylines, publication date, topical expertise, and trustworthiness markers. Unlike traditional SEO, which rewards length and depth, AEO often rewards precision and clarity. An AI system is more likely to cite a 300-word answer that directly addresses the question than a 3,000-word article that buries the answer on page three.

The core AEO workflow has four steps. First, identify the questions your audience is asking AI systems about your category or business. Tools like the AI Mentions API surface this by showing where and how your content (or competitors') is cited in AI answers. Second, audit which of those questions are citations you want to compete for — and which are handled well enough by existing sources that entry cost exceeds benefit. Third, create or refine content to directly answer the top opportunities with clear structure, authority signals, and quotable facts. Fourth, monitor your citation rate weekly via the AI Visibility API to track whether your optimization is working.

The measurement loop is faster than traditional SEO. You can see citation impact within days of publishing instead of weeks or months.