Citation is the new ranking: why we built for answer engines first
Search is collapsing into generated answers. When someone asks ChatGPT or Perplexity which supplier to use, they do not get ten blue links — they get a paragraph, with two or three sources cited underneath. Ranking fourth on a page nobody scrolls is worth a little less every month.
That is the bet MaaS is built on, and it is why answer-engine optimisation is the first thing the product does rather than a module bolted on later.
What we actually measure
On a schedule, MaaS asks four engines a simple question about your category: ChatGPT, Perplexity, Gemini, and Google's AI Overviews. Three are queried through their own APIs — a reproducible synthetic proxy for what a buyer would see. AI Overviews is read from the real search result page, which closes the gap where a grounded Gemini answer was only ever an approximation of it.
Two signals come back, and they are not equally valuable:
- A domain citation — the engine linked your site as a source. This is the strong signal, and the one worth optimising for.
- An entity mention — the engine named your company in the answer text but cited someone else. Weaker, but it means the model knows you exist, which is a different and earlier problem to solve.
Conflating the two flatters the numbers. We keep them apart.
Why structured data goes in from the start
An answer engine has to be able to read your business, not just rank it. So every page MaaS generates ships with JSON-LD in its head describing the organisation, the pages, and the products — and the publish pipeline validates that markup before a deploy goes out. A hard error blocks the deploy.
This is unglamorous, and it is the part most sites skip because it produces no visible change. It is also the part a machine reads first.
SEO is still there, underneath
None of this replaces the basics. Sitemaps still get submitted to Google Search Console and Bing; pages still need to be crawlable and fast. The difference is ordering. We treat classic SEO as the floor and citation as the target, rather than the other way round.
The honest caveat
Answer-engine visibility is a young discipline and nobody — us included — has years of outcome data on what moves it. What we can do is measure the thing directly, weekly, per category, and act on the gaps. That is a lot better than optimising for a ranking that is quietly losing value.