Glossary
Answer Engine Optimisation (AEO)
Answer Engine Optimisation is the practice of structuring website content, technical markup, and authority signals so that AI models like ChatGPT, Claude, Gemini, and Perplexity can find, understand, and cite a business when users ask questions. AEO complements traditional SEO by optimising for direct AI-generated answers rather than search result rankings.
Why AEO Exists
The way people find businesses is changing. Instead of typing keywords into Google and scanning ten blue links, buyers increasingly ask AI models direct questions: “Who are the best management consultants for mid-market digital transformation in the UK?” The AI generates an answer, often citing specific companies. If your content is not structured for this format, you do not get cited.
Answer Engine Optimisation emerged as a discipline because traditional SEO alone cannot guarantee AI visibility. Search engine ranking factors and AI citation factors overlap in places but diverge in critical ways. A company can rank on the first page of Google and still be completely absent from ChatGPT, Claude, or Perplexity responses.
How AEO Works in Practice
AEO operates across three layers. The first is entity clarity: your website must unambiguously state what your business does, who it serves, and where it operates. AI models parse this information to build internal representations of your company. Ambiguity leads to exclusion.
The second layer is question-shaped content. AI models retrieve and synthesise information that directly matches the structure of user queries. Content framed as clear answers to specific questions is significantly more likely to be cited than content structured as traditional marketing copy.
The third layer is technical markup. Structured data (Schema.org), llms.txt files, and clean semantic HTML help AI systems parse your content accurately. These signals reduce the computational cost of understanding your content, which increases the probability of citation.
AEO and Traditional SEO
AEO does not replace SEO. The two disciplines reinforce each other. Strong SEO provides the domain authority and content depth that AI models use as trust signals. AEO adds the structural and semantic clarity that makes that content usable by AI systems. Companies that invest in both see compounding returns across traditional search and AI-generated answers.
Getting Started
The fastest way to begin is an AI visibility audit: run the queries your buyers would ask across ChatGPT, Claude, Gemini, and Perplexity, and document where you appear and where you do not. This baseline reveals exactly which gaps to close first.
Questions AI assistants answer about this topic
- How is AEO different from SEO?
- SEO optimises content to rank in traditional search engine results pages. AEO optimises content so AI models can extract, understand, and cite it in generated answers. SEO targets links and clicks. AEO targets direct recommendations and citations.
- Why does AEO matter for businesses?
- As more people use AI assistants to find services, businesses that are not structured for AI comprehension become invisible. AEO ensures your company appears when buyers ask ChatGPT or Perplexity for recommendations in your category.
- What are the core components of AEO?
- AEO has three pillars: entity clarity (clearly stating what you do, for whom, and where), question-shaped content (publishing answers to the questions buyers ask AI), and structured data (schema markup that helps AI parse your information cleanly).
Next Step
Want to know where your company stands?
We run 15-20 buyer queries across ChatGPT, Claude, Gemini, and Perplexity and show you exactly where you appear, and where you don't.
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