Answer Engine Optimization: how to get cited by AI

AEO, GEO, LLM SEO: the same shift, different names

You will see three terms for this: Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and LLM SEO. They describe the same change — optimizing so that AI systems, not just search engines, surface and cite your content. AEO stresses the answer, GEO stresses the generative engine, and LLM SEO stresses the model. The playbook is the same, and it rhymes with good SEO. For the model side specifically — how LLMs learn about brands and how to get into each path — see the companion LLM SEO guide.

Why it matters now

When someone asks an assistant “what’s the best tool for X?” or “how do I fix Y?”, the assistant replies with a short answer and a handful of named sources. If you are not one of those sources, you are invisible in exactly the place a growing number of buyers now start. Being un-cited by AI is the new being on page two — except far fewer people are measuring it, which is precisely the opening.

How AI answer engines pick their sources

Different engines work differently, but the same five signals decide whether you get named:

• Access. The AI crawlers — GPTBot, ClaudeBot, PerplexityBot, Google-Extended — have to be allowed to read your site. Block them and nothing else matters.
• Clarity. Content that states facts plainly, in clean HTML with real headings and structure, is far easier for a model to extract and quote than something buried in scripts or vague prose.
• Structure. Schema markup and a machine-readable summary (llms.txt) help engines understand what your page is and which parts to trust.
• Authority. Engines lean on sources that the wider web already cites and trusts. Mentions and links from credible sites raise your odds of being named.
• Accuracy. Answer engines are cautious about being wrong. Content that is specific, current, and verifiable is safer to cite than thin or dated pages.

The AEO checklist

Concrete steps, roughly in order of leverage:

1. Let the AI crawlers in. Confirm GPTBot, ClaudeBot, PerplexityBot and Google-Extended are not blocked. Check with the Robots.txt + AI-Bot Tester.
2. Answer the question directly. Lead each page with a clear, self-contained answer to the question it targets, then support it. Models quote the sentence that answers the query.
3. Structure for machines. Use real headings, lists and tables, and add schema markup so engines can parse your content. Validate it so it actually applies.
4. Publish an llms.txt. Give AI a curated map of your site. Generate a starter llms.txt, refine it, and publish it at your root.
5. Be accurate and current. Date your content, cite your own sources, and fix stale facts. Citation-worthiness is a trust game.
6. Earn mentions. The same authority that helps SEO helps AEO — genuine coverage and links from credible, relevant sites.
7. Measure and iterate. Track whether the engines actually name you, and for which questions, then close the gaps.

AEO does not replace SEO

It extends it. Classic ranking still drives most traffic, and the fundamentals — crawlability, fast pages, clear titles, real content — serve both. Run the free tools to get the fundamentals right, then add the AEO layer on top: clear answers, structure, llms.txt, and citations.

Measure your AI visibility

You cannot improve what you do not measure. Start free with the AEO / AI-Readiness Checker to confirm the engines can crawl and parse your site. Then the AI Visibility Checker (in beta) shows whether ChatGPT, AI Overviews, Perplexity and Gemini actually name and cite you — and which competitors they name instead.

Frequently asked questions