SEO, AEO and GEO: How to Get Found When People Ask AI Instead of Google

To get found when people ask AI instead of Google, a UK business needs three things working together: traditional SEO so pages still rank, answer engine optimisation (AEO) so your content is structured as clear answers, and generative engine optimisation (GEO) so AI tools like ChatGPT, Perplexity and Google AI Overviews cite you as a source. The shift is from chasing a position on a results page to becoming the answer that machines quote.

For years the goal was simple: rank on page one of Google. That still matters, but it is no longer the whole game. More people now ask ChatGPT or Perplexity, or read Google's AI Overview, and never click a link. When that happens, your reward for good content is a citation, not a visit. The businesses that win will be the ones a machine trusts enough to name.

What is the difference between SEO, AEO and GEO?

The three overlap, but each solves a slightly different problem.

• SEO (search engine optimisation): getting your pages to rank in classic results, through relevant content, fast loading, sensible structure and links from reputable sites. This is the foundation, and it is not going away.
• AEO (answer engine optimisation): structuring content so it can be lifted out as a direct answer, using clear question-led headings, short paragraphs, definitions near the top and FAQs with real answers.
• GEO (generative engine optimisation): earning a place inside answers that AI tools generate from scratch. These engines pull from many sources, blend them and cite a handful. GEO is the work of being one of those few.

In practice you do not pick one. A page that ranks well, answers cleanly and reads as trustworthy tends to do well across all three at once.

Why is search shifting from rankings to citations?

Because the interface changed. When the answer appears in the chat window or at the top of the page, the click becomes optional. The threat is fewer clicks. The opportunity is that a single citation can put your name in front of someone at the moment they are deciding. Position one is now joined by a new question: are we the source the machine chose to name?

How do AI answer engines decide who to cite?

No one outside the labs has the exact recipe, so be wary of anyone who claims certainty. From what is observable, a few things reliably help:

• Clarity of answer. Content that states a clear answer early, in plain language, is easier for a model to extract and quote.
• Structure a machine can read. Logical headings, short paragraphs and structured data (schema markup) help engines understand what your page says.
• Signals of trust. Genuine expertise, a named author, consistent mentions of your business across the web and a technically sound site all build the confidence a model needs before it names you.
• Freshness and specificity. Current, specific information beats vague, dated copy. Real numbers and detail give an engine something concrete to lift.

None of this is a trick. It is mostly the same advice good editors have given for decades, now read by machines too.

What should a UK business do about it right now?

Start with the foundations, then layer on the answer-first work.

• Fix the basics. Keep your site fast, secure, mobile-friendly and crawlable. If an engine cannot read your pages cleanly, nothing else helps.
• Write for the question. Identify the real questions your customers ask and answer them directly, near the top, in your own words.
• Add structured data. Use schema markup so machines understand your business, articles, products and FAQs. This is the plumbing behind many citations.
• Show your expertise. Put real authors on your content and demonstrate first-hand knowledge, because trust is earned and it is read.
• Be consistent everywhere. Keep your business name and details identical across your site, Google Business Profile and directories, because AI tools cross-check.
• Publish steadily. Useful content over time builds the authority Google and answer engines reward.

If you are a small team, the honest problem is that this is a lot of ongoing work. It rarely fails because owners do not understand it. It fails because there is never time for it.

How does Varsuite help with SEO, AEO and GEO?

This is the part of marketing we run for clients every day. Our AI agents handle the steady, repeatable work: technical SEO checks, structured data, keyword and question research, and a regular flow of content written to answer real questions clearly. Because the same agents that build your site also manage its marketing, the SEO, AEO and GEO foundations are built in rather than bolted on afterwards. Crucially, a human on our team perfects and signs off the content before it goes live, so what represents your business actually sounds like your business. Most builds start with a £100 deposit, with the balance due only when you approve the finished work.

Frequently asked questions

Is SEO dead now that AI answers the question?

No. Classic search still drives huge volumes of traffic, and answer engines often draw on the same pages that rank well in Google. SEO is now the foundation AEO and GEO build on, rather than the finish line.

How is GEO different from AEO?

AEO is about structuring your content so it can be pulled out as a clean answer. GEO is the broader effort of earning citations inside answers that generative tools create by blending many sources. They share the same groundwork, so it makes sense to do them together.

How long does it take to show up in AI answers?

There is no fixed timeline, and anyone promising overnight results is guessing. The authority, trust and useful content that take months to build in search are also what eventually earn citations, so treat it as a steady programme rather than a one-off task.