AEO

AEO (Answer Engine Optimization) targets the synthesised answer paragraph itself rather than the results page. It rose to prominence as user behaviour shifted — featured snippets and knowledge panels already ate clicks, and AI Overviews, inline ChatGPT replies and Perplexity cards finished the job. The term 'answer engine' fits because search engines, in practice, have become answer engines.

Mechanically AEO is closer to answer composition than retrieval. The model reads intent, picks crisp definitions and numbers from candidate documents, and stitches together a reply. That means the same keyword behaves differently depending on whether the user asks 'what is X', 'how does X work' or 'best X for Y'. The practical work converges on a single discipline: writing content that answers a question in one clean sentence.

A workable AEO checklist is short. Can the answer be summarised in one line? Are the sources visible inside the copy? Are facts like price, rating or duration structured? Does the first 100 characters define the topic? Useful KPIs include category-prompt answer rate, citation position (top vs bottom of the answer) and how often your definition sentence gets adopted verbatim. Villion visualises where your brand definition lands across repeated runs of the same prompt.

AEO, GEO and LLMO overlap heavily but emphasise different angles. AEO leans on answer boxes and Q&A surfaces, GEO is the umbrella for LLMs broadly, and LLMO focuses on what the model 'knows' about your brand. Across surfaces, ChatGPT keeps conversational context, Perplexity prizes source transparency, and AI Overviews are strong on intent interpretation — so even the same answer is composed against subtly different bars.

A common myth is that pumping out a giant FAQ page is enough. It is not — long lists of weak questions can actually depress quality signals. What matters is real user questions, sharp answers and clear evidence. Another trap is treating a citation as the finish line. If the cited answer mixes in wrong facts about your brand, the downside outweighs the win, so post-citation monitoring is non-negotiable.

If you are starting fresh, do this in order. Mine 30 real user questions from search console, sales calls and support. For each, write a one-line definition plus a one to two paragraph justification. Then mark the page up with FAQPage, HowTo or Product schema so machines can extract the answer cleanly. AEO is ultimately about writing content that is easy to answer with — for humans and for models alike.