Answer Engine Optimisation (AEO) is the work of getting your business named directly inside AI answers from ChatGPT, Gemini, Perplexity and Google AI Overviews. MT Labs runs AEO as a managed service for Singapore companies, built on AEO Pro, the citation engine we developed and run on our own sites first.

The problem most Singapore businesses are hitting

Your customers have started asking AI instead of Google. They type “best [your service] in Singapore” into ChatGPT, and an answer comes back naming three companies. If you are not one of the three, you are invisible, and you never see the search that decided it.

Most marketing leads we meet have already noticed this. Traffic from traditional search is flat or slipping, and nobody can explain where the enquiries went. The honest answer is that a growing share of buying research now happens inside an AI chat, before anyone clicks a single link.

The harder part is that ranking on Google does not guarantee you get cited by an AI. The two systems read your content differently. An answer engine wants clear claims, structured data, and sources it can trust enough to quote. A page that ranks well can still be skipped by the model that summarises the topic.

How we approach AEO

We treat AEO as a measurable service, not a content guess. The work runs in four parts.

• Citation audit. We test how ChatGPT, Gemini, Perplexity and Google AI Overviews currently answer the questions your buyers ask, and record where you appear, where a competitor appears instead, and why.
• Entity and answer architecture. We restructure your key pages so the claims are explicit, the answers sit near the questions, and the schema tells the model exactly what your business is and does.
• AEO Pro deployment. We install AEO Pro, the plugin we built, to inject FAQ and structured data at scale and keep schema valid across your whole site without touching post bodies.
• Citation tracking. We re-test on a schedule and report which answers now name you, so the gain is visible rather than assumed.

The reason we can move quickly here is that we are not learning AEO on your site. We built AEO Pro to do this on our own properties first, and we apply the same engine to your content.

What it looks like in practice

A typical engagement starts with the audit. We pick the ten to twenty questions your buyers actually ask an AI, run them across the major answer engines, and show you the transcript. Most teams are surprised by how often a competitor gets named and they do not.

From there we rebuild the pages that matter, add the structured data, and deploy AEO Pro to hold the FAQ and schema in place. Then we wait for the answer engines to re-crawl and we test again. The deliverable is simple: the same questions, now with your name in the answer.

For companies that prefer to run it in-house, we license AEO Pro on its own and hand over the playbook. The choice is yours, the engine is the same.

Where AEO is not the answer

AEO is worth doing when your buyers research with AI before they contact you, which is most B2B and considered-purchase categories in Singapore now. It is not a fit for everything.

If your customers buy on impulse, walk in off the street, or come entirely through referral, AEO will not move your numbers, and we will tell you so. It also takes time. Answer engines re-crawl and re-rank on their own schedule, so this is a compounding investment, not an overnight switch. If you need leads this week, paid channels are the honest answer, and we will say that too.

MT Labs helps companies across Singapore get found in the place buyers now look first, inside the AI answer. We run answer engine optimisation as a managed service, powered by AEO Pro, the citation engine we built and use ourselves. Whether you want us to run it for you or license the engine and run it in-house, we’ll size it to your team. Get in touch and we’ll start with an audit of where you stand today.