What is Answer Engine Optimisation? A Plain-English Guide for London Businesses

What is Answer Engine Optimisation?

When someone types a query into Google, they get a list. Ten results, maybe some ads, a map pack if it's local. They browse, compare, click. That's a search engine interaction — and it's the world most businesses have been optimising for over the past two decades.

Answer Engine Optimisation (AEO) targets a different interaction entirely. When someone speaks a question to Siri, asks Alexa while their hands are full, or prompts ChatGPT to recommend a solicitor in Shoreditch, they get one answer. Not a list — a single response, delivered directly, that they either act on or don't.

AEO is the practice of structuring your content, schema markup, and entity signals so that voice assistants and AI tools select your business as that single answer. The technical starting point overlaps with SEO — fast site, clean code, accurate local data — but the content structures, target formats, and success metrics are distinct. Ranking fifth on Google and being named by Alexa are not the same goal, and they don't use the same approach.

How is AEO different from SEO?

The easiest way to understand the gap is to picture two different customer journeys running in parallel. In one, a customer opens a browser, searches for a plumber in Hackney, scans five websites, reads some reviews, and calls someone. In the other, a customer has a burst pipe at 10pm, asks Google Assistant what to do, hears one plumber's name read back to them, and calls that number.

Both customers are searching. One is browsing. One is acting. AEO targets the second one — and the conversion rate when a customer acts immediately on a voice answer is considerably higher than when they browse a list. The table below shows where the two disciplines diverge in practice. For a deeper breakdown, see our AEO vs SEO comparison.

Why does AEO matter for UK and London businesses?

Ofcom's 2025 Audio Report found that 54% of UK adults had used a voice assistant in the past month, and 41% owned a smart speaker. Among the platforms that matter: Amazon Alexa is used by 66% of UK voice assistant users, Google Assistant by 31%, and Siri by 28%. These aren't niche numbers — they represent a significant and growing share of how people in this country look for local services.

London is a particular case. Commute times are among the longest in Europe, and hands-free queries happen at high rates during travel — on the Overground, on the Elizabeth line, in cars stuck on the North Circular. Your next customer may be asking a voice assistant about your category right now, while they can't look at a screen. Whether your business gets named in that moment comes down to AEO work you either have done or haven't.

The density of London's local market also matters. In most boroughs, several businesses in any given category are within walking distance of each other. Voice search doesn't surface all of them — it surfaces one. The customer asking Google Assistant for a recommendation in Bermondsey doesn't know about the four other options nearby. They only hear the name that comes back. That business wins the enquiry by default, not because they're better, but because they were the one ready for the format.

And the opportunity window is open right now. For all the competition in London's local search market, almost none of it has extended to AEO. Most businesses have done some SEO. Very few have structured content for voice extraction, added Speakable schema, or targeted featured snippets with question-led content. That gap is your advantage if you act on it — and it won't stay open indefinitely.

What does AEO actually involve, technically?

AEO is not one setting you toggle. It's a set of workstreams that build on each other. The four that move the needle for most local businesses are below.

Conversational content

Voice queries are structurally different from typed ones. People ask questions as they'd phrase them to a person: "Is there a good dentist in Stoke Newington that takes NHS patients?" not "dentist Stoke Newington NHS." Your content has to match that register — direct, plain, specific to your location and service. Marketing language doesn't extract well. A clear sentence that says what you do, where you do it, and for whom is more valuable to a voice assistant than a paragraph of optimised prose that doesn't actually answer a question.

FAQ structure built for extraction

Voice assistants prioritise FAQ-formatted content because it's already in the shape they need: a question, then a direct answer. If your site doesn't have that structure, you're not giving platforms anything clean to extract. The questions need to match how your customers actually phrase queries — which means you write them as spoken questions, not as marketing subheadings. The answers need to be direct and self-contained, not dependent on reading the paragraph before them.

Speakable schema markup

Google's Speakable schema is structured data that tells voice platforms which sections of your page are suitable to read aloud. You mark specific CSS selectors — a summary paragraph, an FAQ section — and the assistant knows to pull from those areas when constructing a spoken answer. Most businesses haven't added it. That makes it one of the cleaner advantages still available without competing against an established field.

Featured snippet capture

Google Assistant draws primarily from featured snippets — the highlighted answer box that appears above the ranked results. If you hold the featured snippet position for a local query, you're almost certainly the voice answer for that same query. Capturing snippets requires structured content that directly answers the target question, formatted so Google can display it in the box without modification. For local businesses, the queries worth targeting are specific and achievable — "best [service] in [borough]", "does [service] work on weekends", "how much does [service] cost in London".

How long does AEO take to show results?

For well-structured content targeting specific local queries, featured snippet capture and voice citation typically happen within six to ten weeks. That's a general range — pace depends on how much competing AEO work is already in place in your category and area, and on how much foundational SEO work has already been done. AEO builds on solid SEO; if the foundations aren't there, the timeline extends.

AI Overviews are moving faster than featured snippets as a surface. Ahrefs data from 2025 found that 20.5% of keywords now show an AI Overview in Google results — a share that's grown consistently. A business that structures its content for AEO now captures that surface during a period where most competitors haven't started. The window is open, and the businesses arriving first tend to hold position as the field fills in behind them.

Unlike paid search, the results compound. The business that earns the voice answer for a category in a given borough is likely to hold it through the following year — not because the algorithm locks them in, but because competitors who haven't done the work are still months behind once they notice the gap. Arriving early matters more here than in traditional SEO, where competitors can outspend you overnight.

Does AEO work for businesses that don't get walk-in customers?

Yes, often more so. Voice search is one delivery mechanism — but the structural work that earns voice answers also strengthens performance in Google AI Overviews, Perplexity citations, and ChatGPT recommendations. For businesses that sell to higher-consideration buyers — solicitors, accountants, consultants, B2B service providers — those surfaces matter more than voice alone.

A buyer researching a commercial solicitor in the City doesn't ask Alexa who to call. But they might ask ChatGPT or Perplexity to suggest firms, and the firms that show up are the ones with clear entity signals, structured content, and consistent descriptions across credible sources. The AEO workstreams that win voice answers are the same ones that build entity recognition in AI tools. The two reinforce each other.

For more on where AEO and generative AI optimisation overlap — and where they diverge — see our guide to GEO vs AEO.

How do I know if my business currently appears in voice or AI answers?

Manual testing is the most direct method. Take the questions your customers would actually ask — not keyword variations, but spoken questions as a customer would phrase them — and speak them into Siri, Alexa, and Google Assistant separately. Note whether your business is named, whether a competitor is named, or whether neither of you comes up. Do the same with ChatGPT and Perplexity for your main service queries.

What you're looking for is the gap between where your business should logically appear and where it actually does. If a competitor is named and you're not, the difference is almost always structural — schema, content format, entity signals — rather than a question of which business is better.

If you'd rather have us do this as a structured audit, we map your current AEO profile across voice and AI surfaces and show you exactly where the gaps are. Book a free audit and we'll turn that around without a sales call attached to it.