Why your website needs to be ready for AI search

For twenty years, getting found online meant one thing: appearing on the first page of Google. Today that’s changing fast. People are increasingly asking AI tools like ChatGPT for answers directly, rather than typing a query into a search engine and clicking through a list of links. If your website is only optimised for the old model of search, you’re invisible in a growing number of AI conversations. That’s where two new disciplines come in: AEO and GEO.

What is AEO?

Answer Engine Optimisation (AEO) is about making your content easy for search engines to lift out and present as a direct answer, rather than just a ranked link. Think of Google’s featured snippets, knowledge panels and AI Overviews, or a voice assistant reading out a reply. These features pull a specific answer from a page and show it to the user immediately, often without them ever clicking through to the source.

AEO means structuring your content so that a machine can find, extract and trust a clear answer: writing in a question-and-answer format where it makes sense, leading paragraphs with the direct answer before the supporting detail, and using structured data (schema markup) so search engines understand exactly what a page contains rather than having to guess.

What is GEO?

Generative Engine Optimisation (GEO) is the newer, broader discipline. It’s about how your brand and content get cited, summarised or recommended by generative AI tools such as ChatGPT, Claude and Perplexity when someone asks them a question. ChatGPT alone now processes billions of prompts a day, and a large share of those are effectively search queries. When someone asks it to recommend a supplier, compare products or explain a topic, GEO determines whether your organisation is part of that answer.

GEO works differently to traditional SEO in an important way: a lot of what influences whether an AI system cites you happens off your own website. These tools draw on reviews, industry publications, forums, comparison sites and other third-party sources, not just your homepage. So GEO isn’t only a technical exercise, it’s also about building genuine authority: accurate, well-sourced content, consistent information about your organisation across the web, and a reputation that AI models recognise as trustworthy enough to repeat.

How they relate to SEO

None of this replaces SEO, it builds on it. Traditional SEO is still the foundation: a well-structured, fast, technically sound website with good backlinks and relevant keywords remains the base layer that both AEO and GEO depend on. In fact, research shows a large proportion of AI Overview results still map to pages already ranking well organically. Think of it as three overlapping layers: SEO gets you visible in search generally, AEO gets your content pulled out as a direct answer, and GEO gets you cited or recommended inside an AI-generated response. Neglecting any one of them leaves a gap in how people can find you.

Why it’s worth building into your website or web app

It’s tempting to treat this as a future problem, but the shift is already showing up in the numbers.

Several studies now show that when an AI Overview appears above a search result, click-through rates to the top-ranking page can drop dramatically, in some cases by more than half. People are getting their answer without ever visiting a website at all.

That’s a real threat to any organisation relying purely on organic traffic, but it’s also an opportunity: brands that are structured, well-cited and easy for AI systems to understand can end up recommended to a user before a competitor’s website is ever seen.

Practically, building GEO and AEO into a site isn’t a bolt-on marketing trick, it’s largely a matter of good technical and content foundations, which is exactly the kind of work that pays off regardless of how AI search evolves:

• Structured, semantic markup (schema for FAQs, products, services and organisations) so machines can understand what a page is actually about.
• Clear, well-organised content architecture, with headings that mirror the real questions your customers ask and answers stated plainly near the top of the page.
• Fast, accessible, crawlable pages, since AI crawlers and traditional search bots both need to be able to reach and read your content easily.
• Consistent, accurate information about your organisation across your own site and third-party listings, so there’s no conflicting signal for an AI system to trip over.
• Genuinely useful, well-sourced content that earns citations, rather than thin pages written purely to game rankings.

For a web application, the same principles extend to things like well-documented help centres, clear in-product FAQs and structured data behind dashboards or knowledge bases, all of which make your product easier for AI tools to understand and recommend when someone asks “what’s a good tool for X?”.

The takeaway

Search behaviour is changing faster than most websites are keeping up with it. Building AEO and GEO thinking into how a site is structured, written and marked up now means being ready for how people are actually finding information today, not just how they found it five years ago. It’s a natural extension of good web design and content strategy, not a separate discipline bolted on afterwards, which is exactly how we approach it when we build and optimise sites for our clients.

If you’d like to know how ready your website or web app is for AI-driven search, get in touch and we’ll take a look.