Ask a Singapore shopper where to find a trustworthy renovation contractor today, and there is a fair chance they never open Google at all. They open Perplexity, type one plain-language question, and read a short, sourced answer before their coffee has even cooled. For a brand used to thinking about rankings and blue links, that habit raises a different question: not where do we rank, but whether we are one of the businesses this particular AI chose to name.
Perplexity works differently from a search engine and differently from ChatGPT or Google’s AI Overviews too, because it shows its citations openly, numbered and clickable, right beside the answer. That transparency is exactly why Perplexity optimisation deserves its own strategy rather than a generic AI-search checklist: you can see, citation by citation, which sources made the cut and start reverse-engineering why.
How Perplexity Decides What To Cite
Perplexity works by retrieving a short list of live web pages for a query, then asking a language model to summarise and cite from that list within the same response. That two-step process, retrieve first and synthesise second, means visibility depends less on a backlink profile and more on whether a page is structured clearly enough to survive the retrieval step in the first place. Pages that answer a specific question early, carry clear headings and describe things in plain factual language tend to get pulled into that shortlist more often than pages written mainly to persuade. This is a meaningful shift for anyone used to classic SEO signals, since a page can rank respectably on Google and still be passed over by Perplexity’s retrieval layer if its answer is buried three paragraphs down.
The Overlap With Google Isn’t the Whole Story
A widely referenced analysis by Search Engine Land found that around 60% of Perplexity’s citations line up with Google’s top 10 organic results, which on its own suggests traditional SEO and Perplexity visibility overlap heavily. Look closer, though, and that overlap swings hard by category. It reached 82% for healthcare queries, where both platforms lean on institutional sources such as hospitals and recognised health bodies, and fell to just 27% for restaurant queries, where Perplexity pulled far more often from community discussion and review aggregators that rarely surface in the same order on Google. The same study noted that Perplexity averages just over five citations per answer, giving a brand several distinct chances to appear even when it misses the top spot.
For a Singapore business, that gap between categories is the more useful figure. A brand that ranks well on Google cannot assume the same authority carries over the moment its category leans on a different mix of sources, which for food and beverage, travel and consumer electronics brands in Singapore is often exactly the case.
What Actually Earns a Citation
Getting cited consistently has less to do with one clever trick and more to do with a handful of habits that compound over a few months. Brands that invest in a structured Perplexity citation programme tend to work through the following, roughly in this order:
- Entity clarity across the web, so the brand’s name, address and description read consistently on its own site, its Google Business Profile and any directories it appears in
- A direct-answer structure, with a clear one or two sentence answer near the top of a page before the supporting detail
- A visible publishing cadence, since Perplexity favours pages that show a recent update date over ones that read as static and untouched
- A presence in the community sources a category already trusts, such as relevant forums, comparison sites or review platforms
- A Wikipedia or Wikidata entry where a brand genuinely qualifies for one, since Perplexity treats these as anchor sources for many entity queries
The Zero-Click Reality Singapore Marketers Already Know
This pattern is not unique to Perplexity. A 2025 Pew Research Center analysis of Google search behaviour found that users clicked through to a traditional result in only 8% of visits when an AI summary appeared, compared with 15% when it did not, and they ended their browsing session entirely more often once they had an answer in front of them. Singapore’s own search behaviour tends to track global patterns closely, given how quickly local consumers adopt new AI tools, so it would be a risky assumption to treat this as a trend confined to other markets.
Perplexity simply makes that same shift visible earlier, because its citations sit out in the open instead of being tucked behind a summary a reader might skim past. A marketing team that has already accepted lower click-through rates from Google’s AI Overviews is, in effect, already living with the zero-click reality Perplexity represents. The practical difference is that Perplexity shows its working, which makes it a far easier platform to study and improve against.
What This Means for Your Brand
Perplexity still carries a smaller share of Singapore’s search traffic than Google, but its citation model previews where every AI platform is heading: answers built from a visible, checkable shortlist of sources instead of a single ranked list. Brands that treat this as one part of a wider AI visibility strategy today will have considerably less catching up to do once the rest of the market follows. If you would like a clearer picture of how your brand currently shows up across Perplexity and the other AI platforms your customers already use, get in touch with the ZeroClick.sg team.