Answer Engine Optimisation (AEO): What It Is and Why It Matters

From ten blue links to one definitive answer

For two decades, the objective of search optimisation was rank. Get your page onto the first result page of Google, ideally near the top, and you would receive a share of the traffic looking for what you offer. Search engines returned ten links; your job was to be one of them.

Consumer behaviour is shifting. Instead of typing keywords into a search box and comparing links, people are having conversational exchanges with AI assistants — ChatGPT, Gemini, Claude, Perplexity — and receiving a single recommended answer. If that answer does not name your business, the click never happens.

What AEO and GEO actually are

Answer Engine Optimisation (AEO) is the discipline of making your business the one AI assistants recommend when users ask questions in your category.

Generative Engine Optimisation (GEO) is closely related and often used interchangeably. Its focus is more on being cited or quoted inside AI-generated responses rather than being the recommended action.

Neither is a replacement for traditional SEO. Both extend it into a channel that operates by different rules.

How AI assistants form recommendations

Large language models do not have opinions about which business is best. They synthesise from signals that already exist across the internet:

• Structured business data (Google Business Profile, directory listings)
• Consistent name, address, and phone number across the web
• Third-party review sentiment and volume
• Content that clearly explains what you do, for whom, and where
• References and mentions from credible sites

The models also read the raw structure of websites: schema markup, headings, and — increasingly — dedicated files written specifically for machine consumption.

The role of llms.txt

An llms.txt file is an emerging convention: a plain-text document at the root of your website that tells AI models what your business does, who it serves, and which content matters most. It sits alongside the existing robots.txt and sitemap.xml files, but where those speak to crawlers, llms.txt speaks to language models.

The convention is not yet universally adopted or enforced. But because the cost to implement is trivial and the potential upside is meaningful, most organisations that take AI-driven discovery seriously are adding one.

What this changes in practice

For most businesses, AEO is not a wholesale replacement for existing marketing work. It is an additional layer:

• Keep your traditional SEO healthy — AI assistants still lean on Google data
• Fix inconsistencies in your business listings and structured data
• Publish content that answers the actual questions your customers ask, in the language they use
• Add an llms.txt file that plainly describes your offering
• Monitor how AI assistants describe your business, and where you appear versus competitors

The businesses that treat this as a discipline rather than a novelty will be the ones AI assistants recommend as the transition accelerates.

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