AI SEO3 min read
What is Answer Engine Optimisation (AEO) and how is it different from SEO?
Traditional SEO competes for a click. AEO competes to be the sentence the assistant reads out — often with no click at all.
Generative Engine Optimisation is the practice of improving how your brand, products and content are represented in AI-generated answers. It combines extractable content structure, consistent factual information across the web, third-party mentions, and clear entity signals so generative systems describe you accurately and cite you as a source.
The details vary by system and are not fully published, but the observable pattern is consistent: retrieve candidate documents relevant to the query, extract passages that answer it directly, weight sources by apparent authority and agreement, and synthesise an answer with citations.
Everything an AI system might read about you — directories, review sites, forums, press, documentation and social profiles.
| Content type | Citation likelihood | Why |
|---|---|---|
| Original data and research | High | Nobody else can be the source |
| Clear definitions and explanations | High | Directly extractable |
| Comparison tables | High | Structured and specific |
| Step-by-step processes | High | Extract as ordered lists |
| Documented first-hand experience | Moderate to high | Cannot be synthesised from other sources |
| Generic overview content | Low | Interchangeable with a hundred others |
| Thin listicles | Very low | No unique information |
The pattern is clear: content that contains information available nowhere else gets cited. Content that restates the consensus does not need to be cited, because the model already contains the consensus.
AEO focuses on being the extracted answer to a question. GEO is broader — how your brand and content are represented across generative systems overall. In practice the work overlaps heavily.
Not directly. You can influence it by making accurate information abundant, consistent and well-structured across the sources these systems read.
Not separate — extended. Good structure, original information, entity clarity and third-party credibility serve traditional search and generative systems together.
Manual citation testing on a fixed question set, AI referral traffic in analytics, branded search trends, and qualitative signals like prospects mentioning they found you via an assistant.
ROVQIX Growth
SEO & growth team, ROVQIX
The ROVQIX growth team handles technical SEO, Core Web Vitals and AI-search visibility for the sites we build. Recommendations here are the ones we apply to client projects and to rovqix.in itself.
ROVQIXdesigns and builds production web platforms — Next.js front ends, Node.js APIs and the infrastructure behind them. Tell us what you're building and we'll scope it with you.
Traditional SEO competes for a click. AEO competes to be the sentence the assistant reads out — often with no click at all.
Search engines stopped matching strings a long time ago. They match things — and if they cannot tell which thing you are, nothing else helps.
AI search measurement is genuinely immature. The honest approach is a few reliable signals and a manual log, not a dashboard implying precision.
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