The search that happens before your website
A growing share of buyers no longer start with a page of blue links. They ask ChatGPT, Perplexity, or Google's own AI overview a plain question — "who's a good skin clinic in Brisbane?", "best conveyancer for first-home buyers?" — and read the short list it hands back. Often they don't reach anyone's website until after they've already decided which two or three are worth a look.
Answer Engine Optimisation — AEO — is the work of being one of the businesses those tools confidently name. Think of it as the newer cousin of SEO: search engine optimisation gets you found on a results page; answer engine optimisation gets you named in the answer itself.
How the machine decides
An AI doesn't have a favourite, and it can't be charmed. It assembles a picture of you from what's consistent and clear across the web — your website's plain language, your Google Business Profile, directory listings, reviews, anywhere your business is described — and then it names the ones it can describe with confidence.
That's the part most businesses miss. Clarity and consistency win; cleverness doesn't. There is no keyword trick that makes a model recommend a business it can't summarise in a sentence.
What quietly breaks it
The businesses that get left out of AI answers usually share the same handful of gaps:
- "We do everything for everyone" — vagueness gives the model nothing specific to say, so it stays quiet about you.
- Details that differ across listings — a different service list here, an old address there. Inconsistency reads as uncertainty, and uncertainty doesn't get recommended.
- A site written for style over clarity — beautiful, and impossible to summarise.
- Thin presence on the properties the model actually reads — a half-built profile, no reviews, no directories.
The uncomfortable part: AEO can't invent clarity you don't have. If you can't say who you're for in one plain sentence, no amount of optimisation will make an AI say it for you. SigmaSync's piece on what an AI assistant says when a customer asks about you is a clear look at what these tools are actually working from.
How MPS approaches this
MPS makes the answer consistent. Positioning and message first — the one clear sentence about who you help and why — then the profile, website and listings that feed the machines, all telling the same story in the same words.
The goal is simple to state and harder to earn: when a buyer asks an AI about your category, your business is the one it can describe without hesitating.
It starts with a scoping conversation — no cost, no commitment — to see what the machines currently make of you.