SEO is not enough anymore — what AEO and GEO mean for your visibility
AI-powered search is changing where answers come from. Here is what Answer Engine Optimisation and Generative Engine Optimisation mean in practice, and what to do about them.
By Conciptual Ltd
For twenty years, SEO meant one thing: rank in the ten blue links. The goal was page one, position one, and everything else was a rounding error.
That model is not broken — but it is incomplete. A growing share of search queries now return an AI-generated answer before the organic results. Some queries return only an AI answer. The ten blue links are still there, but they are no longer the only place visibility lives.
What has changed
Google’s Search Generative Experience, Bing Copilot, Perplexity and ChatGPT are all answering questions that used to send users to a website. For informational queries — how does X work, what is the best Y for Z, what should I know about W — the answer now often appears directly in the search interface.
This is not a future trend. It is happening now, and the share of queries answered this way is growing every month.
Answer Engine Optimisation (AEO)
AEO is the practice of structuring content to be selected as the source for AI-generated answers. It is related to traditional SEO but distinct from it — a page can rank well organically and never appear in an AI answer, and vice versa.
The factors that influence AEO selection include:
- Direct, specific answers. AI systems prefer content that answers a question clearly and early, not content that buries the answer in three paragraphs of context.
- Structured data. FAQ schema, HowTo schema and speakable markup signal to AI systems that content is answer-formatted.
- Authority signals. AI systems draw from sources they consider authoritative. Domain authority, citation patterns and E-E-A-T signals all matter.
- Content freshness. Outdated content is less likely to be selected, particularly for queries where recency matters.
Generative Engine Optimisation (GEO)
GEO is broader than AEO. It is about ensuring your brand, product or service is cited and recommended in AI-generated responses — not just in answer boxes, but in the conversational responses that tools like ChatGPT and Perplexity generate.
GEO is influenced by the sources AI models were trained on and the sources they retrieve in real time. Practical GEO work includes:
- Being cited by authoritative sources. If reputable publications, industry bodies and high-authority websites mention your brand, AI systems are more likely to include you in relevant responses.
- Consistent, accurate information across the web. AI systems aggregate information from multiple sources. Inconsistent information about your business creates confusion in AI responses.
- Content that answers the questions your customers ask AI. Map the questions your customers are asking AI tools and ensure you have clear, authoritative content that answers them.
What this means practically
Traditional SEO remains important — organic rankings still drive significant traffic and will continue to do so. But a strategy that ignores AEO and GEO is leaving a growing share of visibility unaddressed.
The good news is that the foundations overlap. Technical SEO, high-quality content, structured data and authority signals benefit all three. The additional work for AEO and GEO is largely about content structure and format — answering questions directly, using appropriate schema markup and ensuring your information is consistent and citable.
Start with an audit of which queries in your space are now returning AI-generated answers. Those are the queries where your traditional SEO strategy is no longer sufficient on its own.