Why does AEO exist as a separate discipline?

Because the answer box replaced the results page for a growing share of queries. When ChatGPT, Perplexity, or Google's AI Overviews answer a question directly, the user often never sees a traditional results page. Rank #1 means nothing if the engine writes a three-paragraph answer that names your competitor and never mentions you.

The mechanics differ from search, too. Answer engines decompose a user's question into sub-queries, retrieve candidate pages, then synthesize a response citing a handful of sources. Each engine retrieves differently: research on citation overlap found only about 11% of citations are shared across platforms — ChatGPT leans on encyclopedic sources like Wikipedia, Perplexity leans heavily on Reddit, and Google AI Overviews reads YouTube transcripts. Optimizing for one engine doesn't automatically optimize for the others.

What does AEO actually involve?

Three layers of work, roughly in order:

  • Technical access. AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) must be able to fetch your pages. That means robots.txt rules that allow them, server-rendered content rather than JavaScript-only pages, an llms.txt file, and structured data. Many sites block these bots without realizing it — often via CDN default settings.
  • Answer-shaped content. Pages built so an engine can lift a clean 200-400 word answer: the answer stated up front, question-based headings, specific values instead of adjectives, visible publish and update dates, and formats that win citations — comparisons, listicles, how-to guides, FAQs.
  • Off-site presence. Engines cite third-party sources heavily. Reddit threads, review sites like G2, YouTube videos, and industry listicles all feed AI answers. Getting mentioned in the sources engines already trust matters as much as your own site.

How is AEO measured?

The core metric is AI visibility: of the questions your buyers ask AI assistants, what share of answers mention your brand? Supporting metrics include citation count (how often your pages are linked as sources), sentiment (how the answer characterizes you), and share of voice against competitors. Tools like Lighthouse automate this by querying 10+ AI platforms with buyer-relevant prompts and scoring the responses. You can also spot-check manually: ask ChatGPT and Perplexity the questions your customers would ask, and note who gets named.

Is AEO the same as GEO?

Nearly. GEO (Generative Engine Optimization) and AEO describe the same discipline from slightly different angles — GEO emphasizes the generative models, AEO emphasizes the answer surface. In practice the terms are interchangeable, and the industry uses both. We keep a separate GEO explainer because people search for both terms.

How do you start with AEO?

  1. Check that AI crawlers can reach your site (robots.txt, rendering, llms.txt). Our guide to getting cited walks through this.
  2. Measure your baseline: ask the questions your buyers ask, across several engines, and record who's named. Or run a free Lighthouse analysis — it takes about three minutes.
  3. Fix the biggest gap first. If you're never retrieved, it's technical. If you're retrieved but not cited, your content isn't answer-shaped. If competitors dominate the third-party sources engines cite, that's off-site work.