Question 1

What is Generative Engine Optimisation (GEO)?

Accepted Answer

Generative Engine Optimisation (GEO) is the practice of structuring your content, brand signals, and digital presence so that AI language models—such as ChatGPT, Perplexity, Gemini, and Claude—surface your business as the authoritative answer when buyers ask questions in your category. Unlike traditional SEO, GEO focuses on training data relevance, citation worthiness, entity authority, and structured knowledge rather than keyword rankings.

Question 2

What is Answer Engine Optimisation (AEO)?

Accepted Answer

Answer Engine Optimisation (AEO) is the discipline of engineering your content to be selected as the definitive answer in AI-generated responses, voice search results, and zero-click surfaces. Where SEO earns a ranking, AEO earns the answer. It requires clear, structured, factual content that LLMs can extract and trust.

Question 3

How is GEO different from traditional SEO?

Accepted Answer

Traditional SEO optimises for search engine ranking pages (SERPs) where humans choose a link to click. GEO optimises for AI-generated answers where the model synthesises a response and may never show a link at all. GEO prioritises entity authority, semantic depth, citation networks, and structured data over keyword density and backlink volume.

Question 4

Which AI engines should I optimise for?

Accepted Answer

The primary AI surfaces to optimise for include ChatGPT (OpenAI), Perplexity AI, Google Gemini and AI Overviews, Microsoft Copilot, Claude (Anthropic), and Apple Intelligence. Each has different data sourcing, citation models, and recency windows, requiring tailored GEO strategies.

Your next buyer isn't human.